Secure Computation on the SAP Cloud Platform
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A Survey Report on Partially Homomorphic Encryption Techniques in Cloud Computing
International Journal of Engineering Research & Technology (IJERT) ISSN: 2278-0181 Vol. 2 Issue 12, December - 2013 A Survey Report On Partially Homomorphic Encryption Techniques In Cloud Computing 1. S. Ramachandram 2. R.Sridevi 3. P. Srivani 1. Professor &Vice Principal, Oucollege Of Engineering,Dept Of Cse,Hyd 2. Associate Professor, Jntuh, Dept Of Cse,Hyd 3. Research Scholar & Asso.Prof., Det Of Cse, Hitam, Hyd Abstract: Homomorphic encryption is a used to create secure voting systems, form of encryption which allows specific collision-resistant hash functions, private types of computations to be carried out on information retrieval schemes and enable cipher text and obtain an encrypted result widespread use of cloud computing by which decrypted matches the result of ensuring the confidentiality of processed operations performed on the plaintext. As data. cloud computing provides different services, homomorphic encryption techniques can be There are several efficient, partially used to achieve security. In this paper , We homomorphic cryptosystems. Although a presented the partially homomorphic cryptosystem which is unintentionally encryption techniques. homomorphic can be subject to attacks on this basis, if treated carefully, Keywords: Homomorphic, ElGamal, Pailler, homomorphism can also be used to perform RSA, Goldwasser–Micali , Benaloh, computations securely. Section 2 describes Okamoto Uchiyama cryptosystemIJERT, IJERTabout the partially homomorphic encryption Naccache–Stern cryptosystem, RNS. techniques. 2. Partially Homomorphic Encryption Techniques 1. INTRODUCTION RSA Security is a desirable feature in modern system architectures. Homomorphic In cryptography, RSA[1] is an asymmetric encryption would allow the chaining encryption system. If the RSA public key is together of different services without modulus and exponent , then the exposing the data to each of those services. -
Decentralized Evaluation of Quadratic Polynomials on Encrypted Data
This paper is a slight variant of the Extended Abstract that appears in the Proceedings of the 22nd Information Security Conference, ISC 2019 (September 16–18, New-York, USA) Springer-Verlag, LNCS ?????, pages ???–???. Decentralized Evaluation of Quadratic Polynomials on Encrypted Data Chloé Hébant1,2, Duong Hieu Phan3, and David Pointcheval1,2 1 DIENS, École normale supérieure, CNRS, PSL University, Paris, France 2 INRIA, Paris, France 3 Université de Limoges, France Abstract Since the seminal paper on Fully Homomorphic Encryption (FHE) by Gentry in 2009, a lot of work and improvements have been proposed, with an amazing number of possible applications. It allows outsourcing any kind of computations on encrypted data, and thus without leaking any information to the provider who performs the computations. This is quite useful for many sensitive data (finance, medical, etc.). Unfortunately, FHE fails at providing some computation on private inputs to a third party, in cleartext: the user that can decrypt the result is able to decrypt the inputs. A classical approach to allow limited decryption power is distributed decryption. But none of the actual FHE schemes allows distributed decryption, at least with an efficient protocol. In this paper, we revisit the Boneh-Goh-Nissim (BGN) cryptosystem, and the Freeman’s variant, that allow evaluation of quadratic polynomials, or any 2-DNF formula. Whereas the BGN scheme relies on integer factoring for the trapdoor in the composite-order group, and thus possesses one public/secret key only, the Freeman’s scheme can handle multiple users with one general setup that just needs to define a pairing-based algebraic structure. -
2014 International Conference on Green Computing Communication and Electrical Engineering
2014 International Conference on Green Computing Communication and Electrical Engineering (ICGCCEE 2014) Coimbatore, India 6-8 March 2014 Pages 1-875 IEEE Catalog Number: CFP1460X-POD ISBN: 978-1-4799-4981-6 1/2 TABLE OF CONTENTS VOLUME 1 A NOVEL ROBUST & FAULT TOLERANCE FRAMEWORK FOR WEBSERVICES USING WS- I* SPECIFICATION.............................................................................................................................................................1 Pandey, Akhilesh Kumar ; Kumar, Abhishek ; Zade, Farahnaz Rezaeian A SURVEY OF SELF ORGANIZING TRUST METHOD TO AVOID MALICIOUS PEERS FROM PEER TO PEER NETWORK ..............................................................................................................................................6 Samuvelraj, G. ; Nalini, N. CONTRIVANCE OF ENERGY EFFICIENT ROUTING ALGORITHM IN WIRELESS BODY AREA NETWORK.............................................................................................................................................................. 10 Sridharan, Srivatsan ; Jammalamadaka, Sridhar EFFECTIVE DEFENDING AGAINST FLOOD ATTACK USING STREAM-CHECK METHOD IN TOLERANT NETWORK................................................................................................................................................... 17 Kuriakose, Divya ; Daniel, D. ANONYMOUS ROUTING TECHNIQUE IN MANET FOR SECURE TRANSMISSION: ART .............................. 21 Vijayan, Aleesha ; Yamini, C. DEFINING THE FRAMEWORK FOR WIRELESS-AMI SECURITY IN SMART GRID....................................... -
PCI PIN Transaction Security (PTS) Point of Interaction (POI)
Payment Card Industry (PCI) PIN Transaction Security (PTS) Point of Interaction (POI) Modular Security Requirements Version 4.0 June 2013 Document Changes Date Version Description February 2010 3.x RFC version April 2010 3.0 Public release October 2011 3.1 Clarifications and errata, updates for non-PIN POIs, encrypting card readers February 2013 4.x RFC version June 2013 4.0 Public release Payment Card Industry PTS POI Security Requirements v4.0 June 2013 Copyright 2013 PCI Security Standards Council LLC Page 1 Table of Contents Document Changes ................................................................................................................. 1 About This Document .............................................................................................................. 4 Purpose .................................................................................................................................. 4 Scope of the Document .......................................................................................................... 4 Main Differences from Previous Version ................................................................................. 5 PTS Approval Modules Selection ........................................................................................... 6 Foreword .................................................................................................................................. 7 Evaluation Domains ............................................................................................................... -
Fundamentals of Fully Homomorphic Encryption – a Survey
Electronic Colloquium on Computational Complexity, Report No. 125 (2018) Fundamentals of Fully Homomorphic Encryption { A Survey Zvika Brakerski∗ Abstract A homomorphic encryption scheme is one that allows computing on encrypted data without decrypting it first. In fully homomorphic encryption it is possible to apply any efficiently com- putable function to encrypted data. We provide a survey on the origins, definitions, properties, constructions and uses of fully homomorphic encryption. 1 Homomorphic Encryption: Good, Bad or Ugly? In the seminal RSA cryptosystem [RSA78], the public key consists of a product of two primes ∗ N = p · q as well as an integer e, and the message space is the set of elements in ZN . Encrypting a message m involved simply raising it to the power e and taking the result modulo N, i.e. c = me (mod N). For the purpose of the current discussion we ignore the decryption process. It is not hard to see that the product of two ciphertexts c1 and c2 encrypting messages m1 and m2 allows e to compute the value c1 · c2 (mod N) = (m1m2) (mod N), i.e. to compute an encryption of m1 · m2 without knowledge of the secret private key. Rabin's cryptosystem [Rab79] exhibited similar behavior, where a product of ciphertexts corresponded to an encryption of their respective plaintexts. This behavior can be expressed in formal terms by saying that the ciphertext space and the plaintext space are homomorphic (multiplicative) groups. The decryption process defines the homomorphism by mapping a ciphertext to its image plaintext. Rivest, Adleman and Dertouzos [RAD78] realized the potential advantage of this property. -
Homomorphic Encryption Applied to the Cloud Computing Security
Proceedings of the World Congress on Engineering 2012 Vol I WCE 2012, July 4 - 6, 2012, London, U.K. Homomorphic Encryption Applied to the Cloud Computing Security Maha TEBAA, Saïd EL HAJJI, Abdellatif EL GHAZI Abstract—Cloud computing security challenges and it’s also In Section II, we are introducing the concept of Cloud an issue to many researchers; first priority was to focus on Computing and the necessity to adopt Homomorphic security which is the biggest concern of organizations that are Encryption to secure the calculation of data hosted by the considering a move to the cloud. The advantages of cloud Cloud provider. In section III, we’ll define Homomorphic computing include reduced costs, easy maintenance and re- provisioning of resources, and thereby increased profits. But Encryption and we’ll illustrate some examples of existing the adoption and the passage to the Cloud Computing applies Homomorphic cryptosystems. In section IV, we’ll present only if the security is ensured. How to guaranty a better data our scheme and our implementation. The conclusion and security and also how can we keep the client private perspectives will be mentioned in section V. information confidential? There are two major questions that present a challenge to Cloud Computing providers. When the data transferred to the Cloud we use standard encryption methods to secure the operations and the storage of II. Cloud computing the data. But to process data located on a remote server, the Definition [1]: By cloud computing we mean: The Cloud providers need to access the raw data. In this paper we Information Technology (IT) model for computing, which is are proposing an application of a method to execute operations composed of all the IT components (hardware, software, on encrypted data without decrypting them which will provide networking, and services) that are necessary to enable us with the same results after calculations as if we have worked development and delivery of cloud services via the Internet directly on the raw data. -
Multicast Routing Over Computer Networks: Secure Performance Designs
Digital Forensics in the Cloud: Encrypted Data Evidence Tracking ZHUANG TIAN, BSc (Hons) a thesis submitted to the graduate faculty of design and creative technologies Auckland University of Technology in partial fulfilment of the requirements for the degree of Master of Forensic Information Technology School of Computer and Mathematical Sciences Auckland, New Zealand 2014 ii Declaration I hereby declare that this submission is my own work and that, to the best of my knowledge and belief, it contains no material previously published or written by another person nor material which to a substantial extent has been accepted for the qualification of any other degree or diploma of a University or other institution of higher learning, except where due acknowledgement is made in the acknowledgements. ........................... Zhuang Tian iii Acknowledgements This thesis was completed at the Faculty of Design and Creative Technologies in the school of Computing and Mathematical Sciences at Auckland University of Technology, New Zealand. While conducting the research project I received support from many people in one way or another, without whose support, this thesis would not have been completed in its present form. It is my pleasure to take this opportunity to thank all of you, without the intention or possibility to be complete. I would like to apologize to those who I did not mention by name here; however, I highly value your kind support. Firstly, I would like to deeply thank my thesis supervisor Prof. Brian Cusack for the exceptional support given during the thesis project. He provided me with the freedom to explore research directions and to choose the routes that I wanted to investigate. -
A Fully Homomorphic Encryption Scheme
A FULLY HOMOMORPHIC ENCRYPTION SCHEME A DISSERTATION SUBMITTED TO THE DEPARTMENT OF COMPUTER SCIENCE AND THE COMMITTEE ON GRADUATE STUDIES OF STANFORD UNIVERSITY IN PARTIAL FULFILLMENT OF THE REQUIREMENTS FOR THE DEGREE OF DOCTOR OF PHILOSOPHY Craig Gentry September 2009 °c Copyright by Craig Gentry 2009 All Rights Reserved ii I certify that I have read this dissertation and that, in my opinion, it is fully adequate in scope and quality as a dissertation for the degree of Doctor of Philosophy. (Dan Boneh) Principal Adviser I certify that I have read this dissertation and that, in my opinion, it is fully adequate in scope and quality as a dissertation for the degree of Doctor of Philosophy. (John Mitchell) I certify that I have read this dissertation and that, in my opinion, it is fully adequate in scope and quality as a dissertation for the degree of Doctor of Philosophy. (Serge Plotkin) Approved for the University Committee on Graduate Studies. iii Abstract We propose the ¯rst fully homomorphic encryption scheme, solving a central open problem in cryptography. Such a scheme allows one to compute arbitrary functions over encrypted data without the decryption key { i.e., given encryptions E(m1);:::;E(mt) of m1; : : : ; mt, one can e±ciently compute a compact ciphertext that encrypts f(m1; : : : ; mt) for any e±- ciently computable function f. This problem was posed by Rivest et al. in 1978. Fully homomorphic encryption has numerous applications. For example, it enables private queries to a search engine { the user submits an encrypted query and the search engine computes a succinct encrypted answer without ever looking at the query in the clear. -
Making Fully Homomorphic Encryption Accessible to All
Research Collection Conference Paper Marble: Making fully homomorphic encryption accessible to all Author(s): Viand, Alexander; Shafagh, Hossein Publication Date: 2018 Permanent Link: https://doi.org/10.3929/ethz-b-000307502 Originally published in: http://doi.org/10.1145/3267973.3267978 Rights / License: Creative Commons Attribution 4.0 International This page was generated automatically upon download from the ETH Zurich Research Collection. For more information please consult the Terms of use. ETH Library Session 2 WAHC’18, October 19, 2018, Toronto, ON, Canada Marble: Making Fully Homomorphic Encryption Accessible to All Alexander Viand Hossein Shafagh Department of Computer Science Department of Computer Science ETH Zurich, Switzerland ETH Zurich, Switzerland [email protected] [email protected] ABSTRACT that require outsourcing storage and computation from client de- With the recent explosion of data breaches and data misuse cases, vices to powerful servers in the cloud. However, outsourcing puts there is more demand than ever for secure system designs that user data at risk and threatens privacy. This can be resolved by fundamentally tackle today’s data trust models. One promising encrypting user data on the client side with efficient symmetric alternative to today’s trust model is true end-to-end encryption key-based schemes, e.g., AES-CTR, before sending it to the cloud. without however compromising user experience nor data utility. However, this leaves the abundant computation resources on the Fully homomorphic encryption (FHE) provides a powerful tool in cloud unused and introduces significant application latencies, as the empowering users with more control over their data, while still user has to download large segments of the ever growing datasets benefiting from computing services of remote services, though locally, to perform computations on top, e.g., data analytics. -
Covering PCI and PA DSS)
Monetra® Payment Software Secure Implementation Guide (Covering PCI and PA DSS) Revision: 3.0b3 Publication date November, 2012 Copyright © 2012 Main Street Softworks, Inc. Secure Implementation Guide: (Covering PCI and PA DSS) Main Street Softworks, Inc. Revision: 3.0b3 Publication date November, 2012 Copyright © 2012 Main Street Softworks, Inc. Legal Notice The information contained herein is provided As Is without warranty of any kind, express or implied, including but not limited to, the implied warranties of merchantability and fitness for a particular purpose. There is no warranty that the information or the use thereof does not infringe a patent, trademark, copyright, or trade secret. Main Street Softworks, Inc. shall not be liable for any direct, special, incidental, or consequential damages resulting from the use of any information contained herein, whether resulting from breach of contract, breach of warranty, negligence, or otherwise, even if Main Street has been advised of the possibility of such damages. Main Street reserves the right to make changes to the information contained herein at anytime without notice. No part of this document may be reproduced or transmitted in any form or by any means, electronic or mechanical, for any purpose, without the express written permission of Main Street Softworks, Inc. Table of Contents 1. Monetra Security Validation (PA-DSS) ......................................................................... 1 1.1. Do Not Retain Sensitive Data ........................................................................... -
Css241 Course Title: Basic Security and Security Threats
CSS 241 BASIC SECURITY AND SECURITY THREATS NATIONAL OPEN UNIVERSITY OF NIGERIA COURSE CODE :CSS241 COURSE TITLE: BASIC SECURITY AND SECURITY THREATS 1 CSS 241 BASIC SECURITY AND SECURITY THREATS COURSE GUIDE CSS241 BASIC SECURITY AND SECURITY THREATS Course Developer/Writer Monsuru Adegboyega Kasali Non-Violence and Intercultural Communication Advocacy Initiatives, Ibadan, Nigeria Course Editor Rasidi Okunola, Ph. D Department of Sociology University of Ibadan Oyo State Course Coordinator Adeniyi T. Adegoke, Ph.D Criminology and Security Studies School of Arts and Social Sciences National Open University of Nigeria Programme Leader Prof. Abdul-Rasheed Yesufu Dean, School of Arts and Social Sciences National Open University of Nigeria 2 CSS 241 BASIC SECURITY AND SECURITY THREATS NATIONAL OPEN UNIVERSITY OF NIGERIA National Open University of Nigeria Headquarters 14/16 Ahmadu Bello Way Victoria Island Lagos Abuja Office No. 5 Dar es Salam Street Off Aminu Kano Crescent Wuse II, Abuja Nigeria e-mail: [email protected] URL: www.nou.edu.ng Published by National Open University of Nigeria Printed ISBN: All Rights Reserved CONTENTS PAGE Introduction……………………………………..………....i-ii What You Will Learn in this Course ...................................ii Course Aims…………………………………………..... ..ii-iii Course Objectives……………………………………… …iii-iv Working through this Course ...............................................iv Course Materials……………………………….………. …v 3 CSS 241 BASIC SECURITY AND SECURITY THREATS Study Units…………………………………….………. …v-vi Textbooks and References…………….……….……… ….vi-vii Assignment File ………………………………………. ….vii Assessment ………………………………….………. ……viii Tutor-Marked Assignment……………………………. …..viii Final Examination and Grading…………………..……. …viii Course Marking Scheme ………………………………. …viii Course Overview ………………………………………. …viii-ix Presentation Schedule …………………………………. …x How to Get the Most from this Course ……………………x Reading Section.....................................................................x-xi Facilitators/Tutors and Tutorials ………………………. -
Trusted Platform Module Explained What It Is, What It Does and What Its Benefits Are
Bosch Security Systems | Video Systems 1 | 9 Trusted Platform Module explained What it is, what it does and what its benefits are Data subject not change without notice | August 2016 Security Systems / Video Systems Bosch Security Systems | Video Systems 2 | 9 Table of contents 1 Introduction 3 2 Trusted Platform Module 4 2.1 What a Trusted Platform Module is ..................................................................................................................... 4 2.2 What a Trusted Platform Module does ................................................................................................................ 5 2.3 What a Trusted Platform Module’s benefits are .................................................................................................. 6 3 Appendix 7 3.1 Standard or not standard? .................................................................................................................................. 7 3.2 How clients or integrations are affected .............................................................................................................. 7 4 Glossary 8 Data subject not change without notice | August 2016 Security Systems / Video Systems Bosch Security Systems | Video Systems 3 | 9 1 Introduction As security systems have transitioned into network devices over the last few decades, system vulnerabilities have transitioned as well. This shift in network utilization brings with it far more vulnerabilities than compared to older analog systems, and due to the very nature of