DOCSLIB.ORG

Yan Q D 2014.Pdf (3.852Mb)

Total Page：16

File Type：pdf, Size：1020Kb

Download full-text PDF Read full-text
Yan Q D 2014.Pdf (3.852Mb) Security Enhanced Communications in Cognitive Networks Qiben Yan Dissertation submitted to the Faculty of the Virginia Polytechnic Institute and State University in partial fulfillment of the requirements for the degree of Doctor of Philosophy in Computer Science and Applications Wenjing Lou (Chair) Y. Thomas Hou Ing-Ray Chen Danfeng Yao Sushil Jajodia June 23, 2014 Falls Church, Virginia Keywords: cognitive network security, cognitive radio network, reactive jamming attack, network monitoring, botnet detection. c Copyright 2014, Qiben Yan Security Enhanced Communications in Cognitive Networks Qiben Yan ABSTRACT With the advent of ubiquitous computing and Internet of Things (IoT), potentially billions of devices will create a broad range of data services and applications, which will require the communication networks to efficiently manage the increasing complexity. Cognitive network has been envisioned as a new paradigm to address this challenge, which has the capability of reasoning, planning and learning by incorporating cutting edge technologies including knowledge representation, context awareness, network optimization and machine learning. Cognitive network spans over the entire communication system including the core network and wireless links across the entire protocol stack. Cognitive Radio Network (CRN) is a part of cognitive network over wireless links, which endeavors to better utilize the spectrum resources. Core network provides a reliable backend infrastructure to the entire communication system. However, the CR communication and core network infrastructure have attracted various security threats, which become increasingly severe in pace with the growing complexity and adversity of the modern Internet. The focus of this dissertation is to exploit the security vulnerabilities of the state-of-the-art cognitive communication systems, and to provide detection, mitigation and protection mech- anisms to allow security enhanced cognitive communications including wireless communica- tions in CRNs and wired communications in core networks. In order to provide secure and reliable communications in CRNs: first, we incorporate security mechanisms into fundamen- tal CRN functions, such as secure spectrum sensing techniques that will ensure trustworthy reporting of spectrum reading. Second, as no security mechanism can completely prevent all potential threats from entering CRNs, we design a systematic passive monitoring framework, SpecMonitor, based on unsupervised machine learning methods to strategically monitor the network traffic and operations in order to detect abnormal and malicious behaviors. Third, highly capable cognitive radios allow more sophisticated reactive jamming attack, which im- poses a serious threat to CR communications. By exploiting MIMO interference cancellation techniques, we propose jamming resilient CR communication mechanisms to survive in the presence of reactive jammers. Finally, we focus on protecting the core network from botnet threats by applying cognitive technologies to detect network-wide Peer-to-Peer (P2P) bot- nets, which leads to the design of a data-driven botnet detection system, called PeerClean. In all the four research thrusts, we present thorough security analysis, extensive simulations and testbed evaluations based on real-world implementations. Our results demonstrate that the proposed defense mechanisms can effectively and efficiently counteract sophisticated yet powerful attacks. To my beloved wife, Luna Le Lu, and my parents Yaqin Chen and Shifu Yan iii Acknowledgments To have reached this point in my life, I have been offered so many guidance and support from people who have changed my life. I owe a debt of gratitude to them all, and I would really like to express my deepest appreciations here. First and formost, I would like to express my sincere gratitude to my advisor Dr. Wenjing Lou. Her research attitude, sense of responsibility and pursuit of excellent really inspire me along the past years. Dr. Lou was instrumental in helping me develop my research skills and presentation skills, providing me with invaluable perspective and encouragement along the way. I can't thank her enough for giving me the opportunity to learn from and work with her, for patiently meeting with me, talking about my ideas, answering my questions and proofreading my papers. Her logical way of thinking and her keen sense of future technology have been of great value to me. Dr. Lou not only guided my research in the past few years, but she also cares for my life and personal growth with great thoughtfulness. I feel fortunate to find an advisor who has always shown respects for my own interests, and done everything she could to help make me successful. I am grateful for what she has done for me. I am also extremely grateful to Dr. Thomas Hou, who gave me invaluable guidance and advice on my life, research and career. Dr. Hou was working closely with me throughout my Ph.D. studies. He has been an inspiration to me with his great interest and passion on research. His detailed-oriented, determination and hardworking style encourage me to follow iv my heart, never lose hope and keep pursuing my dream. I am also thankful to Dr. Ing-Ray Chen, Dr. Danfeng Yao and Dr. Sushil Jajodia for serving on my dissertation committee. Their insightful questions and comments about my research greatly contributed to improving this dissertation. I would like to thank Dr. Ming Li. As a collaborator, he always provided helpful comments and advices on my research. Dr. Li worked closely with me in the past few years, who discussed with me about the research ideas and inspired me with his broad knowledge and keen insights. I am grateful to Dr. Zhenyu Yang and Dr. Ning Cao, two previous colleagues, who discussed ideas with me in various stages of my research and offered generous help into my research and life. I also want to thank Dr. Liang Xiao for her helpful discussions on wireless security and privacy. I am thankful to Dr. Feng Chen for helping me embrace the machine learning and artificial intelligence world. Feng gave me inspirations on applying and developing machine learning mechanisms for security purposes. I wish to thank my former colleague, Hanfei Zhao, and my labmates in the Complex Networks and Security Research (CNSR) lab at Northern Virginia Center: Yao Zheng, Ning Zhang, Bing Wang, Changlai Du, Wenhai Sun for creating an intellectual and enjoyable atmosphere, and making my Ph.D. a memorable journey. I benefited tremendously from the discussions and interactions with my labmates. I also want to thank my former and current labmates in CNSR lab at Blacksburg: Dr. Canming Jiang, Dr. Liguang Xie, Huacheng Zeng, Xu Yuan, who shared their knowledge on wireless networking and operations research with me. I am especially indebted to Yao Zheng and Huacheng Zeng, who put great efforts in improving and implementing our research ideas. I am greatly indebted to my father Shifu Yan, and my mother Yaqin Chen. They always v understand me and support my choices with endless love. They have done so much for me professionally and personally. They have sacrificed so much to support me along this wonderful journey. I truly will never be able to repay them with what they have done for me. More importantly, I am specially indebted to my wife Luna Lu. In my mind, her life and her dream are what I am living for. I truly would not be pursuing Ph.D. degree without her support and understanding. My wife has been, and always will be my best friend. At my best time, and more importantly, at my worst time, I know that she will always stand by my side, celebrating my achievements, and giving me love and hope during the frustrating time. I am fortunate to have a wife who cares for me more than herself. Her inspiring words can always cheer me up, and her beautiful smile can always calm me down. Although we were separated during these years by the whole North American continent, she always believed in me, and encouraged me to work hard and play harder. I would surely not be able to reach this far without her support and encouragement. I cannot even imagine where I would be today were it not for the people I love, thank you so much for always believing in me. vi Contents Abstract ii Dedication iii Acknowledgments iv List of Figures xi List of Tables xiv 1 Introduction 1 1.1 Cognitive Networks . .2 1.2 Security Challenges in Cognitive Networks . .3 1.2.1 Spectrum Sensing Security in CRNs . .4 1.2.2 Network Security in CRNs . .6 1.2.3 Reliable CR Communications with Adversarial Software Radios . .7 1.2.4 Botnet Threats to Cognitive Communications in Core Networks . .8 1.3 Research Contributions . 10 1.4 Organization . 13 2 Secure Distributed Consensus-based Spectrum Sensing in Cognitive Radio Networks 14 2.1 Related Work . 15 2.2 System Model . 16 vii 2.2.1 Network Model . 16 2.2.2 Distributed Consensus-based Spectrum Sensing . 17 2.3 Vulnerability Analysis of Distributed Consensus-based Spectrum Sensing . 19 2.3.1 Disruption of Sensing Operation . 20 2.3.2 Stealthy Manipulation of Sensing Results . 23 2.4 Protection of Distributed Consensus-based Spectrum Sensing . 26 2.4.1 Robust Distributed Outlier Detection with Adaptive Local Threshold 27 2.4.2 Hash-based Computation Verification of Neighbor State Update . 30 2.5 Evaluation . 33 2.5.1 Impact of Covert Adaptive Data Injection Attacker . 34 2.5.2 Effectiveness of Robust Distributed Outlier Detection with Adaptive Local Threshold . 35 2.5.3 Security Analysis of Hash-based Computation Verification Approach . 36 2.5.4 Cost Evaluation of Hash-based Computation Verification Approach . 39 2.6 Summary . 40 3 Non-Parametric Passive Traffic Monitoring in Cognitive Radio Networks 41 3.1 Related Work . 42 3.2 System Model . 44 3.2.1 Monitoring System Model . 44 3.2.2 Channel Access Model . 46 3.3 User Channel Access Prediction .
Load more

Recommended publications
  • Malpedia: a Collaborative Effort to Inventorize the Malware Landscape
    Malpedia: A Collaborative Effort to Inventorize the Malware Landscape Daniel Plohmann @push_pnx [email protected] 2017-12-07 | Botconf, Montpellier Martin Clauß martin.clauß@fkie.fraunhofer.de Steffen Enders [email protected] Elmar Padilla [email protected] 1 © Cyber Analysis and Defense Department, Fraunhofer FKIE $whoami Daniel Plohmann Security Researcher @ Fraunhofer (Europe‘s largest organisation for applied research) Research Scope: Malware Analysis Reverse Engineering Automation 2 © Cyber Analysis and Defense Department, Fraunhofer FKIE Outline Summary Motivation (or: how it began) Approach The Malpedia Corpus & Platform A Comparative Structural Analysis of Windows Malware Future Plans / Conclusion 3 © Cyber Analysis and Defense Department, Fraunhofer FKIE Summary 4 © Cyber Analysis and Defense Department, Fraunhofer FKIE Summary TL;DR What is Malpedia? A free, independent, pooled resource for confidently labeled, unpacked reference samples for malware families and versions Meta data tracker for info such as references (analysis reports, blogs, …), YARA rules, actors, tied to these families Status (2017-12-01): 2491 samples for 669 families, multi-platform (WIN, ELF, APK, OSX, …) Our Contributions Definition of requirements for malware corpora and a reference corpus + platform implementing these A Comprehensive, quantitative static analysis of structural features for 446 Windows malware families 5 © Cyber Analysis and Defense Department, Fraunhofer FKIE Motivation … or
    [Show full text]
  • PETYA・JIGSAW・WANNACRY・ZEPTO・LOCKY Business Resilience = Data Resilience
    PETYA・JIGSAW・WANNACRY・ZEPTO・LOCKY Business Resilience = Data Resilience Speaker Introduction Brent Reichow From Minneapolis, Minnesota (USA) April 1992 Arrived in Chiba, Japan Work History LINC Computers (EDS), NTT-WT, PSINet (C&W) Stellent (Oracle), Internet Security Systems (ISS) July 2004 Co-founded Blueshift K.K. Blueshift Business Leading provider of data protection solutions delivering secure, off-site, disk based, data backup, and disaster recovery services to small, medium and large organizations Client Markets Automotive, education, financial services, healthcare, insurance, legal services, logistics, manufacturing, marketing, media, NPO, real estate, recruiting, retail and technology URL www.dataprotection.co.jp/www.dataprotection.jp Blueshift’s Cloud Backup Business A. Initial full backup is made, compressed and encrypted data is sent to public or private data center locations B. Additional schedule or manual backups, will transfer changed data (deltas) off-site (incremental forever Public or Private Client Site Data Centers • File Server • Mail Server C. Rapid restores (deltas /changed data) WAN / INTERNET • Database Server • Virtual Machine (VM) • Multiple restoration points in time • Cloud 2 Cloud • Restore in minutes not hours G. Retention Policy Administrator • 30 day, 1 year D. Security Location 2 • Longer options • All data is encrypted with 256 bit AES • Data remains encrypted in flight and at rest F. Remote Management E. Onsite Appliance (de-duplication, compression, encryption) • Email alerting functionality • LAN speed restores with local available storage • Manage multiple servers A Billion Dollar Industry So How Does Ransomware Work? Ransomware as a Service (RaaS) - Typically the Developer Receives 30% of Ransom Paid by Victims Zepto Ransomware Attack Internet Phishing Email Workstations USB File Database NAS Server Your computer files have been encrypted Your photos, videos, documents, etc… But, don’t worry! I have not deleted them, yet.
    [Show full text]
  • Essential Faqs to Combating Ransomware
    ESSENTIAL FAQS TO COMBATING RANSOMWARE S e p t e m b e r 2016 www.ensilo.com RESEARCH PAPER TABLE OF CONTENTS What is Ransomware? 3 Does Ransomware Only Encrypt Files? 4 What Are the Common Types of Ransomware In-the-Wild? 4 How are Victims Infected? 4 At What Stage Does the Ransomware Encrypt the Data? 5 How Long Does it Take for Ransomware to Encrypt Files? 5 How are the Threat Actors Paid? 6 What Platforms does Ransomware Target? 6 Don’t the Operating System Vendors, such as Microsoft, Place 7 Protections to Prevent Ransomware from Running? Have You Seen Any Ransomware Cases? 7 Is Ransomware a Periodic Fad or a Trending Issue? 8 What Strategy Should Businesses Adopt to Combat Ransomware? 9 Samples of ransomware notes 10 About enSilo 11 RESEARCH PAPER Ransomware isn’t new. But the tactics are. Ransomware has gone from a nickel & dime operation targeting individual computers to a multimillion dollar criminal operation targeting organizations that can afford to pay enterprise-level payments. Research1 showed that a single threat actor was “making more than $30M USD annually from ransomware infections alone”. Clearly, with such a strong financial motivation behind ransomware, the threat criminals behind these types of attacks are not going to stop anytime soon. To help combat against the threat of ransomware, we’ve put together this FAQ. If you see any question you’d like to add, or just want to be heard, feel free to email us: [email protected] WHAT IS RANSOMWARE? Ransomware is an increasingly popular tactic used to steal data and disrupt a system’s operations.
    [Show full text]
  • Analyzing Facebook, Twitter, and Google's Efforts to Combat Foreign
    PolicyBrief 2018 | No. 041 A Long Way To Go: Analyzing Facebook, Twitter, and Google’s Efforts to Combat Foreign Interference By Bradley Hanlon Executive Summary and improve verification standards for those hoping to publish political advertisements. Investments in Two years after the Russian government manipulated forward-looking measures have included internal social media to interfere in the 2016 U.S. presidential initiatives to critically assess vulnerabilities and external election, online information platforms continue to partnerships with civil society, academia, and fact- serve as mediums for such operations, including the checking organizations. They have also led to increased 2018 midterm elections. Under intense public criticism transparency about the behavior and content of accounts and congressional scrutiny, the three most prominent linked to the Russian operation against the 2016 and online information platforms – Facebook, Twitter, and 2018 elections, as well as other nation-state operations Google – have taken steps to address vulnerabilities and targeting Americans. to protect their users against information operations by actors linked to authoritarian regimes. However, given Though all of these steps are important, ongoing the ongoing nature of online authoritarian interference, vulnerabilities demand more urgent action by the the steps taken by these companies continue to fall platforms to secure the online information space against short. foreign manipulation, while ensuring American’s ability to engage freely in robust speech and debate. Six areas This report reviews and analyzes the steps taken by where Facebook, Twitter, and Google must take further online information platforms to better defend against steps include: foreign interference since 2016, adopting the framing of the Senate Intelligence Committee by focusing on • Focusing on behavior: Online information the largest and most influential online information platforms have unique insight into the platforms of Facebook, Twitter, and Google.
    [Show full text]
  • Male Homosocial Landscape
    MALE HOMOSOCIAL LANDSCAPE: FAULKNER,WRIGHT, HEMINGWAY, AND FITZGERALD A dissertation submitted To Kent State University in partial Fulfillment of the requirements for the Degree of Doctor of Philosophy by Masaya Takeuchi December, 2011 Dissertation written by Masaya Takeuchi B.A., Rikkyo University, 2001 M.A., Rikkyo University, 2004 Ph.D., Kent State University, 2011 Approved by Robert Trogdon , Chair, Doctoral Dissertation Committee Mark Bracher , Member, Doctoral Dissertation Committee Kevin Floyd , Member, Doctoral Dissertation Committee Elizabeth M. Smith-Pryor , Member, Doctoral Dissertation Committee Marilyn A. Norconk , Member, Doctoral Dissertation Committee Accepted by Donald M. Hassler , Interim Chair, English Department Timothy Moerland , Dean, College of Arts and Sciences ii TABLE OF CONTENTS Acknowledgments ……………………………………………………………………….iv Introduction …………………………………………………….………………………. 1 Part I: Chapter 1. ………………………………………………………………………………. 26 2. …………………..…………………………………………………………... 59 Part II: Chapter 3. ………………...……………………………………………………………... 93 Part III: Chapter 4. ……………...……………………………………………………………… 122 5. ………..……………………………………………………………………. 163 Part IV: Chapter 6. ……...……………………………………………………………………… 190 7. ……………………………………………………………………………... 225 Conclusion …………………………………………………………………………….. 254 Bibliography ….………………………………………..……………………………..... 261 iii Acknowledgements During the eight years I have studied in Ph.D. programs at Rikkyo University and Kent State University, I have received tremendous instruction and encouragement from many professors.
    [Show full text]
  • December 2004 Letters to the Editor 3
    DEAR EDITOR, Wireless Security: A Discussion Rik Farrow writes in the August ;login: that “the downside of Note from Rob Kolstad: This article [offshoring] is that real com- summarizes an email discussion munication between software between Marcus Ranum and Bill developers and program man- Cheswick after Marcus had an letters to agers will get even worse.” This “interesting experience” at the presumes a model where devel- USENIX Security Conference. the editor opers only communicate with Thanks to both of them for allow- managers, not directly with ing us to share it publicly in order users. My advice for how to be- to foster discussion. come offshoring-proof is to edu- cate yourself in contextual de- MARCUS RANUM: sign (or any of the other meth- odologies that likewise pre- I had an interesting experience at sumes extensive contact be- the USENIX Security Conference, tween developers and users), and I’d like to share it here for dis- and to complement your com- cussion. Like many conference puting skills with a liberal-arts attendees, I took advantage of the education, which will develop wireless network so I could check your communication skills and my email, update my Web site, etc. your ability to understand non- At virtually every USENIX confer- computing perspectives. ence, someone sets up dsniff and collects passwords as they cross the MAX HAILPERIN wireless, and this latest conference [email protected] was no exception. For the past few http://www.gustavus.edu/+max/ years I’ve basically chosen to ignore the snoopers because, frankly, I hoped they’d grow up and go away.
    [Show full text]
  • Ransomware 2017
    Internet Security Threat Report ISTR Ransomware 2017 An ISTR Special Report Analyst: Dick O’Brien July 2017 Contents Executive summary and Key findings Ransomware: An overview A new breed of threat: WannaCry and Petya Businesses in the crosshairs Affecting the bottom line: Impact of ransomware How ransomware is spread Major ransomware threats Protection and best practices Internet Security Threat Report Contents 3 Executive summary and key findings 28 02 Contain 29 Advanced antivirus engine 5 Ransomware: An overview 29 SONAR behavior engine 8 A new breed of threat: WannaCry 29 Sapient – machine learning and Petya 29 Best practice 9 How WannaCry spread and how it was stopped 29 Ongoing development 9 What is EternalBlue? 29 03 Respond 10 Poor implantation, poor returns 29 Incident Response 10 Petya: Different threat, similar tactics 29 Best practices 10 Who was behind the WannaCry attacks? 30 Appendix: Symantec detections for 11 How Petya was spread common ransomware families 11 Ransomware or wiper? 34 About Symantec 12 Ransomware as a political tool 34 More Information 13 Businesses in the crosshairs 14 Worms are not the only threat 14 Targeted ransomware attacks Figures and Tables 15 Prevention is possible, a cure may not be 6 Ransomware infections by year 6 Ransomware infections by month 16 Affecting the bottom line: Impact of ransomware 6 Impact of WannaCry and Petya outbreaks on monthly infection rate 17 Ransom demands stabilize 6 Monthly ransomware infection numbers 17 Financial and reputational damage without WannaCry and Petya 18
    [Show full text]
  • Ransomware Destructive Attack
    Ransomware Destructive Attack Jay Spreitzer, Vice President, Cyber Threat Management Wells Fargo Bank About - Jay Spreitzer Has over 18 years information security experience. Over the last 10 years as a senior member of a cyber intelligence team at Wells Fargo. Prior to joining Wells Fargo Jay retired from the US Army, after 23 years of service working in various technology and information security roles. He holds a Masters in Information Assurance and Security as well as multiple computer security certifications. 53 What is ransomware? Ransomware is a type of malware that can be covertly installed on a computer without knowledge or intention of the user that restricts access to the infected computer system in some way, and demands that the user pay a ransom to the malware operators to remove the restriction. Some forms of ransomware systematically encrypt files on the system's hard drive, which become difficult or impossible to decrypt without paying the ransom for the encryption key, while some may simply lock the system and display messages intended to coax the user into paying. 54 What is ransomware? Ransomware wreaking havoc in American and Canadian hospitals Tech & Science March 23, 2016 Spike in ransomware spam prompts warnings Technology, March 10, 2015 Ransomware alert issued by US and Canada following recent attacks April 4, 2016, Big paydays force hospitals to prepare for ransomware attacks Tech, April 23, 2016 55 The first known ransomwares and its evolution § AIDS Diskette ransomware discovered in 1989. § Contained a warning message in the letter regarding licensing fee and penalty. § Users were supposed to send a license fee to a PO box in Panama for "PC Cyborg Corporation.” 56 The first known ransomwares and its evolution Creates the file ATTENTION!!!.txt in every folder in which § Gpcoder was ransomware it encoded a file.
    [Show full text]
  • The Definitive Cybersecurity Guide for Directors and Officers
    NAVIGATING THE DIGITAL AGE THE DIGITAL NAVIGATING | BENELUX CONTRIBUTORS • Alan Jenkins, Associate Partner, IBM Security, UK • J.R. Santos, Executive Vice President Research, Cloud Security Alliance, USA • Attila Narin, CTO, EMEA, Palo Alto Networks, Luxembourg • Judith Vieberink, Lawyer, First Lawyers, the Netherlands • Avi Berliner, Manager, PwC, USA • Kelvin Rorive, Delivery Manager Security IT Threat Management, Rabobank, the Netherlands • Chris Bray, Partner, Heidrick & Struggles, UK • Marcel Van Eemeren, CEO, ON2IT, the Netherlands • Christophe Crous, Head of Security, Proximus, Belgium • Mark Hughes, President, BT Security, BT Global Services, UK • Elena Kvochko, CIO, Group Security Function, Barclays, USA • Mark McLaughlin, CEO, Palo Alto Networks, USA • Fred Streefland, Senior Product Marketing Manager, EMEA, Palo Alto Networks, the Netherlands; former • Neelie Kroes, former Vice President to the European CISO, LeaseWeb Commission, the Netherlands • Gavin Colman, Partner, Heidrick & Struggles, UK • Peter Mesker, CTO, SecureLink, the Netherlands • Gilles Orringe, Partner, Heidrick & Struggles, UK • Polo van der Putt, Lawyer, Vondst Advocaten, the Netherlands THE DEFINITIVE CYBERSECURITY GUIDE • Graham Bolton, Chairman, Institute for Software Quality (IfSQ), UK • Puck Polter, Lawyer, Vondst Advocaten, the Netherlands FOR DIRECTORS AND OFFICERS • Greg Day, Vice President and Regional Chief Security • Raoul Vernède, Information Security Officer, Wageningen Officer, EMEA, Palo Alto Networks, UK University and Research, the Netherlands
    [Show full text]
  • Jumanji: the Case for Dynamic NUCA in the Datacenter
    Jumanji: The Case for Dynamic NUCA in the Datacenter Brian C. Schwedock Nathan Beckmann Carnegie Mellon University Carnegie Mellon University [email protected] [email protected] Abstract—The datacenter introduces new challenges for com- Core LLC bank Thread Lat-crit Core LLC bank Thread Lat-crit puter systems around tail latency and security. This paper argues that dynamic NUCA techniques are a better solution to these challenges than prior cache designs. We show that dynamic NUCA designs can meet tail-latency deadlines with much less cache space than prior work, and that they also provide a natural defense against cache attacks. Unfortunately, prior dynamic NUCAs have missed these opportunities because they focus exclusively on reducing data movement. (a) Jigsaw [6,8]. (b) Jumanji. We present Jumanji, a dynamic NUCA technique designed Fig. 1: Dynamic NUCA has natural advantages in the datacenter for tail latency and security. We show that prior last-level because it meets performance targets with fewer resources and cache designs are vulnerable to new attacks and offer imperfect physically isolates data from attackers. (a) However, Jigsaw, a performance isolation. Jumanji solves these problems while signif- state-of-the-art D-NUCA, is oblivious to tail latency and security, icantly improving performance of co-running batch applications. leading to missed deadlines and potential cache side channels. Moreover, Jumanji only requires lightweight hardware and a few (b) With simple changes, Jumanji enforces tail-latency deadlines simple changes to system software, similar to prior D-NUCAs. At and defends side channels at similar performance to Jigsaw. 20 cores, Jumanji improves batch weighted speedup by 14% on average, vs.
    [Show full text]
  • Analysis of Ransomware on Windows Platform
    IJCSNS International Journal of Computer Science and Network Security, VOL.20 No.6, June 2020 21 Analysis of Ransomware on Windows platform Adel Hamdan Mohammad Computer Science Department The world Islamic Sciences and Education University Amman-Jordan Summary dataset used in this research. Section four talks about Ransomware is a very serious problem which all organization related studies to this research. In section five, the author and individual may face. No doubt that ransomware cost demonstrates his experiments and analysis. Finally, in individual an organization billions of dollars. A lot of researchers section six, the author talks about his conclusion and talk about ransomware and its effect. The number of researches future works. that talk about ransomware still needs more investigation. In this research, the author analyzes the impact of ransomware only on windows platforms. The author select windows platform since windows is widely spread and used. Analyzing of ransomware 2. Ransomware Analysis is done based on analyzing the behavior of selected ransomware families. The author monitors the behavior of ransomware and There are several types of ransomware. some researcher which files are created during the infection process. The author says that ransomware has more than 100 forms and also demonstrates the encryption techniques used by patterns. Other researcher says that ransomware has three ransomware families. Finally, the author notes that protecting types and according to other researcher ransomware has Windows operating system is highly possible by monitoring only two main forms [4,5]. Most security and anti-virus system files and registry entry. companies tend to divide ransomware into two types Key words: which are crypto ransomware and locker ransomware Ransomware, encryption, ransomware behavior.
    [Show full text]
  • White Paper Template 9-10-15
    Comparative Analysis of Surveillance Laws and Practices in Latin America Katitza Rodríguez Pereda October 2016 1 The lead author of the “Comparative Analysis of Surveillance Laws and Practices in Latin America” is Electronic Frontier Foundation's (EFF) International Rights Director, Katitza Rodríguez Pereda. The legal review was done by EFF's Civil Liberties Director, David Greene. The technical review was done by EFF's Senior Staff Technologist, Seth Schoen. EFF's International Project Manager, Kim Carlson edited and formatted this report. EFF would like to thank Juan Camilo Rivera who consulted for EFF on this project, and Ana María Acosta, EFF Google Policy Fellow (2016), for their contributions to this report. EFF would like to thank the following individuals for their valuable input, assistance, and feedback in the preparation of this paper: Agustina Del Campo, Centro de Estudios en Libertad de Expresión y Acceso a la Información (Argentina) Ana Tuduri (Uruguay) Carolina Botero, Fundación Karisma (Colombia) Daniela Schnidrig, Global Partners Digital (Argentina) Dennys Antonialli, InternetLab (Brazil) Fabrizio Scrollini (Uruguay) Jacqueline Abreu, Internet Lab (Brazil) Jorge Gabriel Jímenez (Guatemala) Juan Carlos Lara, Derechos Digitales (Chile, Latin America) Juan Diego Castañeda Gómez, Fundación Karisma (Colombia) Leandro Ucciferri, Asociación por los Derechos Civiles (Argentina) Luciana Peri, Fundación Acceso (Central America) Luis Fernando García, R3D (Mexico) Maricarmen Sequera, TEDIC (Paraguay) Marlon Hernández Anzora (El Salvador)
    [Show full text]