DOCSLIB.ORG

Iris Biometrics Based Authentication and Key Exchange System K

Total Page：16

File Type：pdf, Size：1020Kb

Download full-text PDF Read full-text
Iris Biometrics Based Authentication and Key Exchange System K IACSIT International Journal of Engineering and Technology, Vol.3, No.1, February 2011 ISSN: 1793-8236 Iris Biometrics Based Authentication and Key Exchange System K. Saraswathi, B. Jayaram and Dr. R. Balasubramanian the password. Moreover, compromised password directs to Abstract—Wireless Local Area Networks (WLANs) are a fact, that unauthorized user can have access to the gaining gratitude as they are fast, cost effective, supple and accounts of the valid user. The Biometric based user easy to use. The networks face severe issues and challenges in authentication systems are very much secured and efficient establishing security to the users’ of the network. With users to use and place total trust on the authentication server accessing networks remotely, exchanging data by means of the Internet and carrying around laptops containing sensitive data, where biometric verification data are stored in a central ensuring security is an increasingly multifarious challenge. database [1]. This biometrics based user authentication Therefore it is essential to make sure the security of the system improves the network security. Some of most network users. In order to offer network security many extensively used biometric are hand geometry, face, techniques and systems have been proposed earlier in fingerprint, retina, iris, DNA, signature and voice. literature. Most of these traditional methods uses password, Biometrics is the knowledge of measuring and smart cards and so on to provide security to the network users. statistically analyzing Biological data can be used to Though these traditional methods are effectual in ensuring recognize different body parts like the eyes, fingerprints, security they posses some limitations too. This paper proposes facial characteristics, voice, iris etc. Thus, it takes security an approach for network security by means of biometrics. As we all know biometric systems are generally used to control to the next level by not just confining it to authenticating access to physical assets (laboratories, buildings, cash from passwords, iris matching techniques [2]. A biometric system ATMs, etc.) or logical information such as personal computer provides an automated method of recognizing an individual accounts, secure electronic documents etc., The human based on the individual's biometric characteristics. The biometrics such as hand geometry, face, fingerprint, retina, iris, process of a biometric system can be described, in a DNA, signature and voice can be effectively used to ensure the beginner's manner, by a three-step process. The initial step network security. The different phases included in this in this process involves an observation, or collection, of the proposed approach are user registration, Extraction of biometric data which is formally known as user registration. minutiae points and secret key, Iris localization and This step uses different sensors, which vary between Normalization. Furthermore, biometric authentication systems can be more opportune for the users since it involves no modality, to make possible the observation. The second step password that might be feared to be forgotten by the network converts and describes the experimental data using a digital users or key to be lost and therefore a single biometric trait representation called a template. This pace varies between (e.g. Iris) can be used to access several accounts without the modalities and also between vendors. In the third step, the burden of remembering passwords. In this paper the Iris recently acquired template is compared with one or more biometric is used to provide security. This proposed paper also previously generated templates stored in a database. The explains some of the Iris localization and Normalization consequence of this comparison is a “match” or a “non- techniques to make the biometric template noise free. match” and is used for actions such as permitting access, Experiments are conducted to appraise the performance sounding an alarm, etc [3]. measure of the proposed approach. Finalizing a match or non-match is based on the obtained Index Terms—Biometric Security, Cryptography, Data resultant template being analogous, but not one and the Security, Iris Biometrics, Localization and Normalization. same, to the stored template. A threshold determines the gauge of similarity necessary to result in a match declaration. The recognition or rejection of biometric data is I. INTRODUCTION completely dependent on the match score falling above or below the threshold. The threshold is changeable so that the Accurate and automatic identification and authentication biometric system can be more or less stringent, depending of users is an elemental problem in network environments. on the requirements of any given biometric application [3]. Communal secrets such as Personal Identification Numbers Amongst all the biometric techniques, today fingerprints are or Passwords and key devices like Smart cards are not just the most widely used biometric features for personal enough in some cases. This authentication method has identification because of their high acceptability, habitually been based on passwords. The trouble with these Immutability and individuality. traditional approaches is that there is possibility to forget This paper proposes a new technique to secure the network communication using biometric characteristics K. Saraswathi, Asst.Proffessor is with the Department of Computer obtained from the individuals. The biometric characteristic Science, Govt Arts College, Udumalpet, Tirupur, India. used in this paper is Iris. This proposed paper utilizes image B. Jayaram, Asst.Proffessor is with the Department of Computer Science & Engineering, PA College of Engineering and processing technique to haul out the biometric measurement Technology,Pollachi,Coimbatore,India called minutiae from the user’s Iris. The user’s individual Dr. R. Balasubramanian is with the Dean Academic Affairs, PPG iris image is converted and stored as encrypted binary Institute of Technology, Coimbatore, India. 102 IACSIT International Journal of Engineering and Technology, Vol.3, No.1, February 2011 ISSN: 1793-8236 template, which is used for authentication by the server of maintained. the network. The user’s biometric authentication data are Network security issues are projected by Benavente et al. first transformed into a strong secret and is then stored in in [7]. The Internet is more and more becoming a public the server’s database during registration. The proposed vehicle for remote operations. Integrating biometric system is evaluated to establish the performance measures. information in the validation chain exposes new problems. The remainder sections of this paper are organized as Remote unrealistic identity is starting to play in the way follows. Section 2 discusses a few of the related work towards an e-Europe, and applications for e-government proposed earlier in association to biometric based network integrate biometrics. Remote identity of subjects should be security. Section 3 describes the proposed idea of providing unambiguously stated. Numerous features drive the spread network security using the biometric characteristics of biometric authentication in network applications, in order obtained iris. Section 4 illustrates the performance measures to provide end-to-end security across the authentication and finally section 5 concludes the paper with directions to chain aliveness detection and fake-resistive methods, future work. network protocols, security infrastructure, integration of biometrics and public key infrastructure (PKI), etc. Their II. RELATED WORK paper proposed a mid-layer interoperable design furnished A lot of research work has been performed in the field of with a set of generic interfaces and protocol definitions. establishing network security based on biometric features Their scheme enables an upcoming introduction of new obtained from individual user [14] [15]. This section of the modules and applications with a minimal development paper discusses a few of the related work proposed earlier in effort. association to biometric based network security. A.B. J. Teoh et al. in [18] presented a private biometrics In their work [4] Rahman et al. proposed design for formulation which is based on the concealment of random secure access of computers inside an organization from a kernel and the iris images to synthesize minimum average remote location. They used biometrics features and a one- correlation energy (MACE) filter for iris authentication. time password method on top of secure socket layer (SSL) Specifically, the training images are multiplied with the for authentication. Furthermore they also provided three user-specific random kernel in frequency domain before layers of security levels for network communication, and biometric filter is created. The objective of their proposed also a mechanism for secure file accesses based on the method is to provide private biometrics realization in their security privileges assigned to various users is proposed. iris authentication in which biometric template can be The files to be accessed from the server are categorized reissued once it was compromised. Meanwhile, their based on their access privileges and encrypted using a key proposed method is able to decrease the computational load, assigned to each category. The test results of their approach due to the filter size reduction. evaluated the performance measure of their proposed Kwanghyuk Bae et al [19] proposed a new feature
Load more

Recommended publications
  • Report Legal Research Assistance That Can Make a Builds
    EUROPEAN DIGITAL RIGHTS A LEGAL ANALYSIS OF BIOMETRIC MASS SURVEILLANCE PRACTICES IN GERMANY, THE NETHERLANDS, AND POLAND By Luca Montag, Rory Mcleod, Lara De Mets, Meghan Gauld, Fraser Rodger, and Mateusz Pełka EDRi - EUROPEAN DIGITAL RIGHTS 2 INDEX About the Edinburgh 1.4.5 ‘Biometric-Ready’ International Justice Cameras 38 Initiative (EIJI) 5 1.4.5.1 The right to dignity 38 Introductory Note 6 1.4.5.2 Structural List of Abbreviations 9 Discrimination 39 1.4.5.3 Proportionality 40 Key Terms 10 2. Fingerprints on Personal Foreword from European Identity Cards 42 Digital Rights (EDRi) 12 2.1 Analysis 43 Introduction to Germany 2.1.1 Human rights country study from EDRi 15 concerns 43 Germany 17 2.1.2 Consent 44 1 Facial Recognition 19 2.1.3 Access Extension 44 1.1 Local Government 19 3. Online Age and Identity 1.1.1 Case Study – ‘Verification’ 46 Cologne 20 3.1 Analysis 47 1.2 Federal Government 22 4. COVID-19 Responses 49 1.3 Biometric Technology 4.1 Analysis 50 Providers in Germany 23 4.2 The Convenience 1.3.1 Hardware 23 of Control 51 1.3.2 Software 25 5. Conclusion 53 1.4 Legal Analysis 31 Introduction to the Netherlands 1.4.1 German Law 31 country study from EDRi 55 1.4.1.1 Scope 31 The Netherlands 57 1.4.1.2 Necessity 33 1. Deployments by Public 1.4.2 EU Law 34 Entities 60 1.4.3 European 1.1. Dutch police and law Convention on enforcement authorities 61 Human Rights 37 1.1.1 CATCH Facial 1.4.4 International Recognition Human Rights Law 37 Surveillance Technology 61 1.1.1.1 CATCH - Legal Analysis 64 EDRi - EUROPEAN DIGITAL RIGHTS 3 1.1.2.
    [Show full text]
  • Mobile Banking Authentication Based on Cryptographically Secured Iris Biometrics
    Acta Polytechnica Hungarica Vol. 16, No. 1, 2019 Mobile Banking Authentication Based on Cryptographically Secured Iris Biometrics Nemanja Maček1, Saša Adamović2, Milan Milosavljević3, Miloš Jovanović4, Milan Gnjatović5, Branimir Trenkić6 1,6 School of Electrical and Computer Engineering of Applied Studies, 283 Vojvode Stepe st., Beograd, Serbia, e-mails: {nmacek, btrenkic}@viser.edu.rs 2,3,4 Singidunum University, 32 Danijelova st., Beograd, Serbia, e-mails: {sadamovic, mmilosavljevic}@singidunum.ac.rs, [email protected] 5 Faculty of Technical Sciences, University of Novi Sad, 6 Trg Dositeja Obradovića st., Novi Sad, Serbia, e-mail: [email protected] Abstract: This paper1 presents an approach to designing secure modular authentication framework based on iris biometrics and its’ implementation into mobile banking scenario. The system consists of multiple clients and an authentication server. Client, a smartphone with accompanying application, is used to capture biometrics, manage auxiliary data and create and store encrypted cancelable templates. Bank’s authentication server manages encryption keys and provides the template verification service. Proposed system keeps biometric templates encrypted or at least cancelable during all stages of storage, transmission and verification. As templates are stored on clients in encrypted form and decryption keys reside on bank's authentication server, original plaintext templates are unavailable to an adversary if the phone gets lost or stolen. The system employs public key cryptography and pseudorandom number generator on small-sized templates, thus not suffering from severe computational costs like systems that employ homomorphic encryption. System is also general, as it does do not depend on specific cryptographic algorithms. Having in mind that modern smartphones have iris scanners or at least high- quality front cameras, and that no severe computational drawbacks exist, one may conclude that the proposed authentication framework is highly applicable in mobile banking authentication.
    [Show full text]
  • Privacy by Design Solutions for Biometric One-To-Many Identification Systems
    Privacy by Design Solutions for Biometric One-to-Many Identification Systems IPC Technical Report June 2014 Acknowledgements Our deepest thanks go to Dr. George Tomko, whose invention of Biometric Encryption and early work inspired this paper and formed the basis of the hybrid OLG System. 416-326-3333 1-800-387-0073 2 Bloor Street East Fax: 416-325-9195 Suite 1400 Toronto, Ontario TTY (Teletypewriter): 416-325-7539 Information and Privacy M4W 1A8 Website: www.ipc.on.ca Commissioner of Ontario Canada Privacy by Design: www.privacybydesign.ca Privacy by Design Solutions for Biometric One-to-Many Identification Systems TABLE OF CONTENTS 1. Introduction ..................................................................................................1 2. Biometric one-to-many systems and Privacy by Design .....................................4 3. Biometric Encryption: Making Biometrics “Untraceable” by Design .....................5 4. Cryptographically secure biometric architectures ............................................15 5. Biometric Setbase or Weak Links ..................................................................21 6. Everything is coming together: Next steps ......................................................24 7. Conclusions ...............................................................................................25 Appendix A ....................................................................................................26 References .....................................................................................................29
    [Show full text]
  • Center for Unified Biometrics and Sensors University at Buffalo, State University of New York [email protected]
    Advances in Fingerprint Recognition at CUBS Venu Govindaraju Director of Center for Unified Biometrics and Sensors University at Buffalo, State University of New York [email protected] Abstract The Center for Unified Biometrics and Sensors (CUBS) at the University at Buffalo, SUNY is developing biometrics identification systems for civilian, law enforcement and homeland security applications. The center is involved in traditional research developing matching algorithms for several biometric modalities (e.g., fingerprint, signature, face) and in identifying exploratory areas of research that will address problems anticipated in wide- scale deployment of biometrics. In this paper we describe some of our recent research in fingerprint verification. In particular, we will describe a new non-stationary fingerprint enhancement algorithm based on Fourier domain analysis and a partial fingerprint matching algorithm that uses novel approaches from graph and optimization theory. We will also present new score computation algorithm that treats fingerprint verification as a classification problem. Finally, we will describe a novel technique for protecting the privacy and security of fingerprint templates that is based on symmetric hash functions. INTRODUCTION In an increasingly digital world, reliable personal authentication is an important human computer interface activity. National security, e-commerce, and access to computer networks are some examples where establishing a person's identity is vital. Existing security measures rely on knowledge-based approaches like passwords or token-based approaches such as swipe cards and passports to control access to physical and virtual spaces. Though ubiquitous, such methods are not very secure. Tokens such as badges and access cards may be shared or stolen.
    [Show full text]
  • Authentication in Mobile Cloud Computing a Survey
    Journal of Network and Computer Applications 61 (2016) 59–80 Contents lists available at ScienceDirect Journal of Network and Computer Applications journal homepage: www.elsevier.com/locate/jnca Review Authentication in mobile cloud computing: A survey Mojtaba Alizadeh a,b, Saeid Abolfazli c,n, Mazdak Zamani d, Sabariah Baharun b, Kouichi Sakurai a a Department of Informatics, Graduate School and Faculty of Information Science, Kyushu University, Fukuoka, Japan b Malaysia-Japan International Institute of Technology (MJIIT), Universiti Teknologi, Malaysia c YTL Communications and Xchanging, Malaysia d Department of Computer Science, Kean University, NJ, USA article info abstract Article history: Mobile cloud computing (MCC) is the state-of-the-art mobile distributed computing model that incor- Received 29 March 2015 porates multitude of heterogeneous cloud-based resources to augment computational capabilities of the Received in revised form plethora of resource-constraint mobile devices. In MCC, execution time and energy consumption are 21 September 2015 significantly improved by transferring execution of resource-intensive tasks such as image processing, 3D Accepted 18 October 2015 rendering, and voice recognition from the hosting mobile to the cloud-based resources. However, Available online 6 November 2015 accessing and exploiting remote cloud-based resources is associated with numerous security and privacy Keywords: implications, including user authentication and authorization. User authentication in MCC is a critical Cloud computing requirement in securing cloud-based computations and communications. Despite its critical role, there is Mobile cloud computing a gap for a comprehensive study of the authentication approaches in MCC which can provide a deep Security insight into the state-of-the-art research.
    [Show full text]
  • Requirements, Threat Models and Report on Building Blocks for Hardware Security
    Requirements, Threat Models and Report on Building Blocks for Hardware Security Project number: 238811 Project acronym: UNIQUE Project title: Foundations for Forgery-Resistant Security Hardware Start date of the project: 01.09.2009 Duration: 30 months Deliverable type: Report Deliverable reference number: 238811/ D1.1 / Final |1.1 Deliverable title: Requirements, Threat Models and Report on Building Blocks for Hardware Security WP contributing to the deliverable: WP1 Due date: 2010-08-31 Actual submission date: 2010-08-31 Responsible organization: TUD (Heike Schröder, Stefan Katzenbeisser) Authors: All partners contributed Abstract: Deliverable D1.1 provides the basis for the foundation of the technical work in the UNIQUE project. For this purpose the identification of requirements, threat models, and building blocks has been done. Keywords: use cases, requirements, building blocks, hardware level technology, design technique Dissemination level: Public Revision: FINAL | 1.1 Instrument: STREP Thematic Priority: ICT D1.1 Table of Contents 1 Introduction ............................................................................................................................4 2 Threat Scenario .......................................................................................................................5 2.1 Counterfeiting .....................................................................................................................5 2.1.1 Semiconductor Device Re-marking ..................................................................................5
    [Show full text]
  • Preparation and Submission of a Manuscript for the Proceedings
    ASAKER and ZAHRAN BIOMETRICS SECURITY AND PRIVACY PROTECTION AHMED A. ASAKER Reactors Department, Nuclear Research Center – Egyptian Atomic Energy Authority Cairo, Egypt Email: [email protected] OSAMA ZAHRAN Department of Electronics and Electrical Communication Engineering, Faculty of Electronic Engineering Menoufia University, Menoufia, Egypt Email: [email protected] Abstract Physical security at nuclear facilities is an important licensing and design consideration. The ultimate objective of the physical protection system (PPS) is to prevent the accomplishment of unauthorized overt or covert actions to nuclear facilities and nuclear materials. When a physical protection system is applied to a nuclear facility or to nuclear materials, its objective is to prevent radiological sabotage of facilities and theft of nuclear materials. Thus an effective system of physical protection also plays an important role in preventing illicit trafficking of nuclear materials. One of the main pillars of physical protection is controlling personnel access to facilities via Identification technology Systems. Identification technology is changing as fast as the facilities, information, and communication it protects. Recent years have seen a rapid adaptation of using various biometric systems for trusted human automatic recognition and controlling personnel access to nuclear facilities attributed to its high accuracy performance, discriminability, difficulty to be imitated and faked, and stability. Biometrics refers to the physiological or behavioural characteristics of an individual. Many physical characteristics, such as face, fingerprints, iris and behavioural characteristics, such as voice and gait are believed to be unique to an individual. With the exponential growth of using biometric systems, there is an increasing concern that the privacy anonymity of individuals can be compromised by biometric technologies.
    [Show full text]
  • Beyond PKI: the Biocryptographic Key Infrastructure Beyond PKI: the Biocryptographic Key Infrastructure
    Beyond PKI: The Biocryptographic Key Infrastructure Beyond PKI: The Biocryptographic Key Infrastructure W.J. Scheirer, W. Bishop and T.E. Boult Abstract Public Key Infrastructure is a widely deployed security technology for handling key distribution and validation in computer security. Despite PKI’s popu- larity as a security solution, Phishing and other Man-in-the-Middle related attacks are accomplished with ease throughout our computer networks. The major problems with PKI come down to trust, and largely, how much faith we must place in crypto- graphic keys alone to establish authenticity and identity. In this chapter, we look at a novel biometric solution that mitigates this problem at both the user and certificate authority levels. More importantly, we analyze the problem of applying unprotected biometric features directly into PKI, and propose the integration of a secure, revoca- ble biometric template protection technology that supports transactional key release. A detailed explanation of this new Biocryptographic Key Infrastructure is provided, including composition, enrollment, authentication, and revocation details. The BKI provides a new paradigm for blending elements of physical and virtual security to address network attacks that more conventional approaches have not been able to stop. 1 Introduction To motivate the contribution of this paper, we first turn to the technology that under- pins the problem. Public Key Infrastructure (PKI) [10, 1, 9, 30] has been a popular, yet often maligned technology since its widespread adoption in the 1990s. PKI (Fig- W. J. Scheirer and T.E. Boult Vision and Security Technology Lab, Department of Computer Science, University of Colorado, Colorado Springs, CO 80918-7150, USA e-mail: [email protected], [email protected] W.
    [Show full text]
  • Biometrics: PET Or PIT? Koops, E.J.; Sprokkereef, A.C.J
    Tilburg University D3.16: Biometrics: PET or PIT? Koops, E.J.; Sprokkereef, A.C.J. Publication date: 2009 Document Version Publisher's PDF, also known as Version of record Link to publication in Tilburg University Research Portal Citation for published version (APA): Koops, E. J., & Sprokkereef, A. C. J. (2009). D3.16: Biometrics: PET or PIT? FIDIS. General rights Copyright and moral rights for the publications made accessible in the public portal are retained by the authors and/or other copyright owners and it is a condition of accessing publications that users recognise and abide by the legal requirements associated with these rights. • Users may download and print one copy of any publication from the public portal for the purpose of private study or research. • You may not further distribute the material or use it for any profit-making activity or commercial gain • You may freely distribute the URL identifying the publication in the public portal Take down policy If you believe that this document breaches copyright please contact us providing details, and we will remove access to the work immediately and investigate your claim. Download date: 27. sep. 2021 FIDIS Future of Identity in the Information Society Title: “D3.16: Biometrics: PET or PIT?” Author: WP3 Editors: Annemarie Sprokkereef (TILT) Bert-Jaap Koops (TILT) Reviewers: Mireille Hildebrandt (VUB) Eleni Kosta (KU Leuven, ICRI) Identifier: D3.16 Type: [Report] Version: 1.0 Date: 20 August 2009 Status: [Final] Class: [Public] File: fidis-WP3-del3.16-biometrics-PET-or-PIT.pdf Summary Biometrics plays a vital role in identity management. Biometric data are, however, sensitive and vulnerable, and there is a need to develop biometric applications as a privacy-enhancing technology (PET) rather than a privacy- invasive technology (PIT).
    [Show full text]
  • Multimodal Biometric System Using Deep Learning Techniques
    INTERNATIONAL JOURNAL FOR INNOVATIVE RESEARCH IN MULTIDISCIPLINARY FIELD ISSN: 2455-0620 Volume - 6, Issue - 12, Dec – 2020 Monthly, Peer-Reviewed, Refereed, Indexed Journal with IC Value: 86.87 Impact Factor: 6.719 Received Date: 08/12/2020 Acceptance Date: 22/12/2020 Publication Date: 31/12/2020 Multimodal Biometric system using Deep Learning Techniques 1Dr.T.Manikumar, 2Dr.A.John Sanjeev Kumar, 3T.Sakkammal, 4Dr.N.Gnanasankaran 1Assistant Professor, 2Assistant Professor, 3Assistant Professor, 4Assistant Professor 1, 2, 3 Department of Computer Applications and Information Technology, Department of Data Science, Department of Computer Science,Department of Computer Science 1, 4Thiagarajar College,Madurai,India,2The American College,Madurai,India,3Meenakshi College of Arts and Science, Dindigul, India Email – [email protected], 2 [email protected] , [email protected] 4 [email protected]. Abstract: The use of biometric for identification purposes requires that a particular biometric factor be unique for each individual that it can be calculated, and that it is invariant over time. Biometrics such as signatures, photographs, fingerprints, voiceprints and retinal blood vessel patterns all have noteworthy drawbacks. Although signatures and photographs are cheap and easy to obtain and store, they are impossible to identify automatically with assurance, and are easily forged. Human iris on the other hand as an internal organ of the eye and as well protected from the external environment, yet it is easily visible from within one meter of distance makes it a perfect biometric for an identification system with the ease of speed, reliability and automation. Iris recognition is regarded as the most reliable and accurate biometric identification system available.
    [Show full text]
  • Future of Identity in the Information Society Summary
    FIDIS Future of Identity in the Information Society Title: “D3.16: Biometrics: PET or PIT?” Author: WP3 Editors: Annemarie Sprokkereef (TILT) Bert-Jaap Koops (TILT) Reviewers: Mireille Hildebrandt (VUB) Eleni Kosta (KU Leuven, ICRI) Identifier: D3.16 Type: [Report] Version: 1.0 Date: 20 August 2009 Status: [Final] Class: [Public] File: fidis-WP3-del3.16-biometrics-PET-or-PIT.pdf Summary Biometrics plays a vital role in identity management. Biometric data are, however, sensitive and vulnerable, and there is a need to develop biometric applications as a privacy-enhancing technology (PET) rather than a privacy- invasive technology (PIT). Building on earlier FIDIS research, this report studies technical, organizational, and policy decisions in the development of biometrics applications that influence their becoming PETs or PITs. These decisions balance the interests of individuals to have control over their pers- onal data against commercial, societal, and political interests, security, con- venience, and efficiency. This report identifies criteria for determining the ‘PET’ content of technologies and looks at several case studies of decision- making processes in biometrics: biometric pseudonyms and iris recognition, Privacy Impact Assessments, voice recognition, the German ePass, and the Dutch central database of passport biometrics. These case studies suggest a possible gap between expectations and assessments based on technical knowledge and between economic and political expectations of and require- ments for biometric applications. Based on this finding, recommendations are given to enhance awareness of privacy-enhancing technologies and to apply value-sensitive design in the development of biometric applications. Copyright © 2004-08 by the FIDIS consortium - EC Contract No. 507512 The FIDIS NoE receives research funding from the Community’s Sixth Framework Program FIDIS D3.16 Future of Identity in the Information Society (No.
    [Show full text]
  • Computer Security Dec13
    A Selected list of Books on A Bibliography Compiled By Resource Centre (Prepared on : 13th Dec. 2010) Resource Centre Near Indroda Circle Gandhinagar - 382 007 (Available in the Resource Centre) 1. Acquisti, Alessandro ...[et al.] (eds.) Digital privacy : theory, technologies, and practices New York. Auerbach Publications, 2007 005.8 ACQ 018761 2. Acquisti, Alessandro ...[et al.] (eds.) Digital privacy : theory, technologies, and practices New York. Auerbach Publications, 2007 005.8 ACQ 018761 3. Afyouni, Hassan A. Database security and auditing : protecting data integrity and accessibility Boston. Thomson Course Technology, 2006 005.8 AFY 016388 4. Aggarwal, Charu C. & Yu, Philip S. Privacy-preserving data mining : models and algorithms New York. Springer, 2008 005.74 AGG 021394 5. Aggelou, George Mobile ad hoc networks: from wireless LANs to 4G networks. New York. McGraw-Hill, 2005. 004.688 AGG 013373 6. Agnew, Grace., Digital rights management : a librarian's guide to technology and practice Oxford. Chandos Publishing, 2008 025.12 AGN 020194 7. Agre, Philip E. Technology and Privacy London . The MIT Press , 2001 005.8 A276T 003689 8. Agre, Philip E. , Technology and Privacy London . The MIT Press , 2001 005.8 A276T 003689 9. Al Agha, Khaldoun, ed. & Omidyar, Cambyse Guy, ed. Mobile and wireless communications networks: 5th IFIP-TC6 International Conference: proceedings. New Jersey. World Scientific, 2003. 621.3821 ALA 009057 10. Alder, Raven ... [et al.] How to cheat at configuring Open Source security tools New Delhi. Syngress, 2007 005.8 ALD 017787 11. Aleksy, Markus, Korthaus, Axel & Schader, Martin., Implementing distributed systems with Java and CORBA New York. Springer, 2005 005.44 ALE 019696 12.
    [Show full text]