DOCSLIB.ORG

Characterization, Detection and Exploitation of Data Injection Vulnerabilities in Android

Total Page：16

File Type：pdf, Size：1020Kb

Download full-text PDF Read full-text
Characterization, Detection and Exploitation of Data Injection Vulnerabilities in Android CHARACTERIZATION, DETECTION AND EXPLOITATION OF DATA INJECTION VULNERABILITIES IN ANDROID BEHNAZ HASSANSHAHI B.Eng., AUT (Iran), 2010 A THESIS SUBMITTED FOR THE DEGREE OF DOCTOR OF PHILOSOPHY DEPARTMENT OF COMPUTER SCIENCE NATIONAL UNIVERSITY OF SINGAPORE 2016 Acknowledgment First, I would like to express my appreciation to Dr. Roland Yap for supervising me during my PhD journey. He has always been supportive and encouraging. I specially thank him for helping me to develop a critical thinking mindset for solving problems. I have to thank my husband for motivating me all these years and being with me through the good times and bad times. I would also like to thank my family, specially my parents for always believing in me and helping me to chase my dreams. To all my friends who have been my second family in Singapore, thank you for being on my side. I cannot list all your names here, but you are always on my mind. I would like to thank the members of my thesis committee for reading this thesis and giving comments. I would also like to thank the co-authors of my research papers, Dr. Zhenkai Liang, Dr. Prateek Saxena and Yaoqi Jia. It has been a pleasure working with you. i ii Contents 1 Introduction1 1.1 A New Analysis Framework for Android...............2 1.2 Web-to-Application Channel in Android...............2 1.3 Database Attacks in Android Apps..................4 1.4 Contributions and Thesis Organization................4 2 Preliminaries7 2.1 Android Applications..........................7 2.1.1 Android Components......................8 2.1.2 Android Manifest File.....................8 2.1.3 Message Passing in Android..................9 2.2 Android Architecture.......................... 10 2.3 Android Security............................ 12 3 A Framework for Detection and Exploitation of Vulnerabilities in Android 15 3.1 Motivating Example.......................... 17 3.2 Approach and Design.......................... 21 3.3 Source-Sink Pair Identification..................... 24 3.4 Control Flow Graph Construction & Reachability Analysis..... 25 3.4.1 Control Flow Graph Construction............... 26 3.4.2 Reachability Analysis...................... 27 3.5 Symbolic Execution and Static Flow Refinement........... 28 3.5.1 Mitigating the Path Explosion Problem............ 30 iii 3.5.2 Further Optimizations..................... 34 3.5.3 Interaction with the Environment............... 36 3.6 Attack Validation and Concrete Value Propagation......... 38 3.7 Evaluation................................ 40 3.8 Related Work: Analysis of Java and Android Programs....... 44 3.8.1 Static Information Flow Analysis............... 44 3.8.2 Symbolic Execution....................... 46 3.8.3 Dynamic Analysis........................ 48 3.9 Summary................................ 48 4 Web-to-Application Injection Attacks on Android 51 4.1 Web-to-Application Injection Attacks on Android.......... 52 4.1.1 Intent Hyperlinks and URI Intents.............. 52 4.1.2 Web-to-App Injection Attacks................. 59 4.1.3 Categories of W2AI Vulnerabilities.............. 59 4.1.4 A Vulnerable App Example.................. 63 4.2 Web-to-App Channel from a Software Engineering Perspective... 64 4.2.1 Browsable Activities as the Main Entry Points........ 65 4.2.2 Intent Hyperlinks Loaded in the WebViews.......... 66 4.2.3 W2AI Vulnerabilities due to Code Reuse........... 67 4.2.4 Design Problems of Web-to-App Channel........... 69 4.3 Detection and Exploitation of W2AI Vulnerabilities......... 72 4.3.1 Source-Sink Pair Identification for W2AI Attacks...... 72 4.3.2 Symbolic Execution....................... 72 4.3.3 W2AI Attack Validation.................... 73 4.4 Experimental Results for W2AI Vulnerability Detection....... 74 4.4.1 Prevalence of W2AI Vulnerabilities in Apps......... 75 4.4.2 Effectiveness of W2AIScanner in Detecting W2AI Vulnera- bilities.............................. 76 4.4.3 Reporting Vulnerabilities to Vendors............. 77 4.4.4 Case Studies........................... 78 4.5 Related Work: Attacks on Android Apps............... 80 iv 4.5.1 Over-Privileged Malware.................... 80 4.5.2 Privilege Escalation....................... 81 4.5.3 HTML5 and WebView Injection Attacks........... 81 4.5.4 Web-to-App Injection Attacks................. 82 4.6 Summary................................ 83 5 Detecting and Characterizing Database Attacks in Android Apps 85 5.1 Overview................................. 86 5.1.1 Public Database Attacks.................... 87 5.1.2 Private Database Attacks................... 88 5.2 Motivating Examples.......................... 89 5.2.1 Vulnerable Public Database Example............. 92 5.2.2 Vulnerable Private Database Example............ 93 5.3 Threat Model.............................. 94 5.4 Detection and Exploitation of Database Vulnerabilities....... 94 5.4.1 Source-Sink Pair Identification for Database Attacks.... 95 5.4.2 Constructing the Control Flow Graph and Reachability Analysis............................. 96 5.4.3 Symbolic Execution for Detecting Database Attacks..... 97 5.4.4 Database Attack Validation.................. 105 5.5 Experimental Results for Database Vulnerability Detection..... 109 5.5.1 Database Vulnerability Detection Results........... 109 5.5.2 Case Studies........................... 111 5.5.3 Comparing DBDroidScanner and ContentScope....... 112 5.6 Related Work.............................. 116 5.7 Summary................................ 118 6 Conclusion and Future Work 121 Bibliography 132 Appendix A Translating Jimple IR to SMT-LIB Format 135 v vi Summary Android is a popular mobile platform for which a huge number of apps (applica- tions) have been developed during the past few years. However, the complexity in Android programming increases the possibility for developers to introduce vul- nerabilities. In this thesis, we present a novel analysis framework to detect and confirm data injection vulnerabilities in benign Android apps. We study two im- portant classes of such vulnerabilities and use our analysis framework to show that many existing apps are vulnerable. As we are able to find many such vulnerabil- ities, we believe that a significant number of Android apps can be exploited by such attacks. First, we develop an automated vulnerability detection system for Android apps which not only finds data injection vulnerabilities but also confirms them with a proof-of-concept zero-day exploit. Our tool employs a novel combination of static dataflow analysis and symbolic execution with dynamic testing. We also use several optimizations to tame the path explosion problem in symbolic execution. We show through experiments that this design significantly enhances the detection accuracy compared with an existing state-of-the-art analysis. Next, we present a detailed study of a new class of application vulnerabilities in Android that allows a malicious web attacker to exploit app vulnerabilities. It can be a significant threat as no malicious apps are needed on the device and the remote attacker has full control on the web-to-app communication channel. Analyzing real apps from the official Google Play store { we found many confirmed vulnerabilities which suggest that these attacks are easy to mount and developers do not adequately protect apps against them. Finally, we conduct a systematic study of the attacks targeting databases in be- nign Android apps. We present a comprehensive classification of database attacks. vii These attacks can be triggered either from content providers or intents received throughout the app. In order to detect and exploit zero-day database vulnerabili- ties, we utilize our analysis framework and extend it with models for symbolically executing operations on the URI-based objects that are involved in database man- agement. We evaluate our analysis framework by analyzing real-world Android applications and generating the corresponding proof-of-concept exploits. We find both public and private database vulnerabilities in real-world apps. We also show new ways to exploit the previously reported and fixed vulnerabilities. viii List of Tables 4.1 Security control matrix for W2AI attack in Android development frameworks................................ 69 4.2 Overall statistics of vulnerable apps in each W2AI attack category. 75 4.3 Representative vulnerable apps for each W2AI vulnerability category. 78 4.4 Sinks and policies/settings for representative apps........... 78 5.1 This table shows SMT formulas for modeling methods of URI-based classes................................... 101 5.2 Overall statistics of apps vulnerable to the database attacks..... 110 5.3 Public and private database vulnerabilities in representative apps of [ZJ13]................................. 113 A.1 Translating representative Java methods to SMT-LIB(v2) syntax.. 136 List of Figures 3.1 The code snippet is chosen from the WorkNet (kr.go.keis.worknet version 3.1.0) app which is vulnerable to data injection attacks. This app may obtain parameters from the malicious intents. There are three classes separated by dashed lines: MainActivity, MyWebView and MyRunnable. MainActivity is the browsable activ- ity, MyRunnable is an inner class of MainActivity and methods are shown in boxes............................. 18 3.2 CFG for the motivating example in figure 3.1. The gray box con- tains the lifecycle methods of the MainActivity. This graph con- tains a call cycle which is painted in red. The IrrMethod() method represents irrelevant methods which do not affect the data depen- dency analysis but contribute
Load more

Recommended publications
  • CHERI Instruction-Set Architecture
    UCAM-CL-TR-876 Technical Report ISSN 1476-2986 Number 876 Computer Laboratory Capability Hardware Enhanced RISC Instructions: CHERI Instruction-Set Architecture Robert N. M. Watson, Peter G. Neumann, Jonathan Woodruff, Michael Roe, Jonathan Anderson, David Chisnall, Brooks Davis, Alexandre Joannou, Ben Laurie, Simon W. Moore, Steven J. Murdoch, Robert Norton, Stacey Son September 2015 15 JJ Thomson Avenue Cambridge CB3 0FD United Kingdom phone +44 1223 763500 http://www.cl.cam.ac.uk/ c 2015 Robert N. M. Watson, Peter G. Neumann, Jonathan Woodruff, Michael Roe, Jonathan Anderson, David Chisnall, Brooks Davis, Alexandre Joannou, Ben Laurie, Simon W. Moore, Steven J. Murdoch, Robert Norton, Stacey Son, SRI International Approved for public release; distribution is unlimited. Sponsored by the Defense Advanced Research Projects Agency (DARPA) and the Air Force Research Laboratory (AFRL), under contracts FA8750-10-C-0237 (“CTSRD”) and FA8750-11-C-0249 (“MRC2”) as part of the DARPA CRASH and DARPA MRC research programs. The views, opinions, and/or findings contained in this report are those of the authors and should not be interpreted as representing the official views or policies, either expressed or implied, of the Department of Defense or the U.S. Government. Additional support was received from St John’s College Cambridge, the SOAAP Google Focused Research Award, the RCUK’s Horizon Digital Economy Research Hub Grant (EP/G065802/1), the EPSRC REMS Programme Grant (EP/K008528/1), the Isaac Newton Trust, the UK Higher Education Innovation Fund (HEIF), and Thales E-Security. Technical reports published by the University of Cambridge Computer Laboratory are freely available via the Internet: http://www.cl.cam.ac.uk/techreports/ ISSN 1476-2986 Abstract This technical report describes CHERI ISAv4, the fourth version of the Capability Hardware Enhanced RISC Instructions (CHERI) Instruction-Set Architecture (ISA)1 being developed by SRI International and the University of Cambridge.
    [Show full text]
  • FIDO Technical Glossary
    Client to Authenticator Protocol (CTAP) Implementation Draft, February 27, 2018 This version: https://fidoalliance.org/specs/fido-v2.0-id-20180227/fido-client-to-authenticator-protocol-v2.0-id- 20180227.html Previous Versions: https://fidoalliance.org/specs/fido-v2.0-ps-20170927/ Issue Tracking: GitHub Editors: Christiaan Brand (Google) Alexei Czeskis (Google) Jakob Ehrensvärd (Yubico) Michael B. Jones (Microsoft) Akshay Kumar (Microsoft) Rolf Lindemann (Nok Nok Labs) Adam Powers (FIDO Alliance) Johan Verrept (VASCO Data Security) Former Editors: Matthieu Antoine (Gemalto) Vijay Bharadwaj (Microsoft) Mirko J. Ploch (SurePassID) Contributors: Jeff Hodges (PayPal) Copyright © 2018 FIDO Alliance. All Rights Reserved. Abstract This specification describes an application layer protocol for communication between a roaming authenticator and another client/platform, as well as bindings of this application protocol to a variety of transport protocols using different physical media. The application layer protocol defines requirements for such transport protocols. Each transport binding defines the details of how such transport layer connections should be set up, in a manner that meets the requirements of the application layer protocol. Table of Contents 1 Introduction 1.1 Relationship to Other Specifications 2 Conformance 3 Protocol Structure 4 Protocol Overview 5 Authenticator API 5.1 authenticatorMakeCredential (0x01) 5.2 authenticatorGetAssertion (0x02) 5.3 authenticatorGetNextAssertion (0x08) 5.3.1 Client Logic 5.4 authenticatorGetInfo (0x04)
    [Show full text]
  • Discretionary Access Control
    Part IV Access Control Confidentiality and integrity are often enforced using a form of authorization known as access control, which involves the following assumptions. • Predefined operations are the sole means by which principals can learn or update information. • A reference monitor is consulted whenever one of these predefined oper- ations is invoked; the operation is allowed to proceed only if the invoker holds the required privileges. Confidentiality then is achieved by restricting whether a given principal is au- thorized to execute operations that reveal information; integrity is achieved by restricting execution of operations that perform updates. An access control policy specifies which of the operations associated with any given object (including operations to change the policy) each given principal1 is authorized to have performed. Principals are entities to which execution can be attributed|users, processes, threads, or even procedure activations. Ob- jects are entities on which operations are defined—storage abstractions, such as memory or files (with read, write, and execute operations), and code ab- stractions, such as modules or services (with operations to initiate or suspend execution). Distinct privileges are typically associated with distinct operations, and sometimes there are distinct privileges for each different operation on each different object. So, for example, there might be a specific privilege readObj that a principal must hold to perform operation read on object Obj. The Principle of Least Privilege is best served by having fine-grained princi- pals, objects, and operations; the Principle of Failsafe Defaults favors defining an access control policy by enumerating privileges rather than prohibitions. That, however, is only a small part of the picture, and there is much ground to cover in our discussions of access control policy.
    [Show full text]
  • The Confused Deputy Problem(Or Why Capabilities Might Have Been Invented)
    The confused deputy problem(Or why capabilities might have been invented) st Berlin, 21 ,November 2014 The confused deputy | P.Jagannatha | Computer Security Seminar A very powerful program - a program that can delete all your files - a program that can scan your email for interesting tidbits. Many of us spend hours running this program. What is this program? A computer game --and every other program we use The only rights the game really needs to do its job are the ability to write in its window and to receive UI events directed at its window. Yet -- like every other program we execute -- it runs with a lot more rights than that. It runs with all of our authority. The confused deputy | P.Jagannatha | Computer Security Seminar Power is dangerous. While the game probably doesn’t do any of those things, if it became corrupted by a virus, it could The less power we give to a program, the less harm it can do when it runs. In general, giving every program we run access to all our files is dangerous, because if any of those programs get compromised, our files would be lost The solution is obvious: we should only grant a program the rights it needs to do its job, and no more. The same goes for every other application we run. The goal of object capabilities is to make that easier. The confused deputy | P.Jagannatha | Computer Security Seminar Content – Introduction – Analysis of the confused deputy problem – Examples – Ambient authority – Solution-capabilities – Advantages – D iscussion The confused deputy | P.Jagannatha | Computer Security Seminar Introduction - Deputy Client Deputy Resource Human -Confidence trick being Definitions: Application Programs that take actions on the behalf of other programs are deputies andInfrast needructur eappropriate permissions for their duties.
    [Show full text]
  • Capability Myths Demolished
    Capability Myths Demolished Mark S. Miller Ka-Ping Yee Jonathan Shapiro Combex, Inc. University of California, Berkeley Johns Hopkins University [email protected] [email protected] [email protected] ABSTRACT The second and third myths state false limitations on We address three common misconceptions about what capability systems can do, and have been capability-based systems: the Equivalence Myth (access propagated by a series of research publications over the control list systems and capability systems are formally past 20 years (including [2, 3, 7, 24]). They have been equivalent), the Confinement Myth (capability systems cited as reasons to avoid adopting capability models cannot enforce confinement), and the Irrevocability and have even motivated some researchers to augment Myth (capability-based access cannot be revoked). The capability systems with extra access checks [7, 13] in Equivalence Myth obscures the benefits of capabilities attempts to fix problems that do not exist. The myths as compared to access control lists, while the Confine- about what capability systems cannot do continue to ment Myth and the Irrevocability Myth lead people to spread, despite formal results [22] and practical see problems with capabilities that do not actually exist. systems [1, 9, 18, 21] demonstrating that they can do these supposedly impossible things. The prevalence of these myths is due to differing inter- pretations of the capability security model. To clear up We believe these severe misunderstandings are rooted the confusion, we examine three different models that in the fact that the term capability has come to be have been used to describe capabilities, and define a set portrayed in terms of several very different security of seven security properties that capture the distinctions models.
    [Show full text]
  • Introduction to Programming
    Secure Architecture Principles • Isolation and Least Privilege • Access Control Concepts • Operating Systems • Browser Isolation and Least Privilege Original slides were created by Prof. John Mitchel and Suman Janna Some slides are from Prof. David Mazieres 1 Secure Architecture Principles Isolation and Least Privilege 3 Principles of Secure Design • Compartmentalization – Isolation – Principle of least privilege • Defense in depth – Use more than one security mechanism – Secure the weakest link – Fail securely • Keep it simple 4 Principle of Least Privilege • What’s a privilege? – Ability to access or modify a resource • Assume compartmentalization and isolation – Separate the system into isolated compartments – Limit interaction between compartments • Principle of Least Privilege – A system module should only have the minimal privileges needed for its intended purposes 5 Monolithic design Network Network User input System User device File system File system 6 Monolithic design Network Network User input System User device File system File system 7 Monolithic design Network Network User input System User display File system File system 8 Component design Network Network User input User display File system File system 9 Component design Network Network User input User device File system File system 10 Component design Network Network User input User device File system File system 11 Principle of Least Privilege • What’s a privilege? – Ability to access or modify a resource • Assume compartmentalization and isolation – Separate the system
    [Show full text]
  • Capability Based Systems
    Capability Based Systems Chester Rebeiro IIT Madras hps://homes.cs.washington.edu/~levy/capabook/Chapter1.pdf 1 Confused Deputy Problem • A computer program that is fooled into misusing authority leading to a privilege escalaon • Fortran Compiler Installed in a directory say SYSX • Writes billing to a file called SYSX/BILL • Writes stasHcs to a file called SYSX/STATS • The SYSX directory is privileged and cannot be wri8en into by other programs (only the compiler can write into it because it had a LISENCE file) • Usage of the Fortran compiler will look like this: SYSX/FORT file_to_be_compiled output_file MISUSE BY USER • SYSX/FORT file_to_be_compiled SYSX/BILL Bill file is overwrien hp://people.csail.mit.edu/alinush/6.858-fall-2014/papers/confused-deputy.pdf 2 Confused Deputy Problem • Who is to blame? • Compiler? • Should the compiler check if for the directory / output file name and prevent access to it? (No, the name SYSX was not invented at the Hme of wriHng the code; BILL is not the only sensiHve file in SYSX) FIXING THE PROBLEM – SWITCH HATS • The compiler wears two hats One hat when sensiHve informaon like the file BILL was wri8en into Other hat was based on user’s privileges to write user file (However this approach cannot be easily generalized – a program may require mulHple hats) hp://people.csail.mit.edu/alinush/6.858-fall-2014/papers/confused-deputy.pdf 3 DiscreHonary Access Control • By Butler Lampson, 1971 (Earliest Form) • Subjects : acHve elements requesHng informaon • Objects : passive elements storing informaon objects – Subjects can also be objects subjects rights Other acHons : ownership (property of objects by a subject), control (father-children relaonships between processes) Butler Lampson, “ProtecHon”, 1971 4 Unix Processes Every procedure called by a program executes within the address space defined by the process.
    [Show full text]
  • Secure Capability Systems
    141 CHAPTER 10 Secure Capability Systems A capability system [181] is an operating system that represents its access control policy from the subjects’ perspectives. Recall from Chapter 2 that Lampson’s access ma- trix [176] identified two views of an access control policy: (1) an object-centric view, called access control lists, where the policy is defined in terms of which subjects can access a particular object (the columns of the matrix) and (2) a subject-centric view, called capabilities, where the policy is defined in terms of which objects can be accessed by a particular subject (the rows in the matrix). Although the access control decisions made by capability and access control list systems are the same, the capability perspective provides some opportunities to build more secure systems, but this perspective also introduces some challenges that must be overcome to ensure enforcement of security goals. In this chapter, we identify these opportunities and challenges, and describe capability system designs that can leverage the opportunities while mitigating the challenges. 10.1 CAPABILITY SYSTEM FUNDAMENTALS A capability is a reference to an object and a set of operations that the capability enti- tles the holder, first formalized by Dennis and van Horn [72]. Such capability references are extended memory references in that they not only provide location or naming in- formation, but they may also provide access rights for that reference [333]. This form of addressing is known as capability-based addressing [89]. Thus, a capability is like a house key [128] in that it permits the holder the access associated with the key.
    [Show full text]
  • Language-Based Security
    Language-Based Security Scribe: Sam Kumar In this lecture, we discuss the design of programming languages as it relates to security, and in particular to access control. To motivate this discussion, we begin by reviewing traditional approaches to access control. 1 Motivation for Language-Based Security Access-control lists (ACLs) are a traditional way to enforce permissions for access control. A trusted entity (e.g., operating system) knows which principals (e.g., users, programs) have access to which resources (e.g., files). One problem with ACLs is that they do not keep track of why each principal was granted a certain set of permissions. This allows a malicious entity to misuse permissions, i.e., use permissions for purposes other than those for which they were intended. For example, consider the following scenario. The owner of a server o↵ers the server as a computation resource to many users. The system has a compiler installed, and the owner of the system wants to bill users according to how much they are using the compiler. To this end, the compiler appends an entry to a log file, /var/billing.log, every time a user compiles a file. At the end of every month, the owner of the system bills users according to the entries in /var/billing.log. To protect against malicious users, the system owner does not give users direct access to /var/billing.log. Instead, the system owner gives the compiler program, cc, permission to open and write to /var/billing.log. The idea is that users can only open the file /var/billing.log through the compiler—which is trusted to only modify the file in a correct way.
    [Show full text]
  • Protecting Commodity Operating Systems Through Strong Kernel Isolation
    Protecting Commodity Operating Systems through Strong Kernel Isolation Vasileios P. Kemerlis Submitted in partial fulfillment of the requirements for the degree of Doctor of Philosophy in the Graduate School of Arts and Sciences COLUMBIA UNIVERSITY 2015 c 2015 Vasileios P. Kemerlis All Rights Reserved ABSTRACT Protecting Commodity Operating Systems through Strong Kernel Isolation Vasileios P. Kemerlis Today’s operating systems are large, complex, and plagued with vulnerabilities that allow perpetrators to exploit them for profit. The constant rise in the number of software weak- nesses, coupled with the sophistication of modern adversaries, make the need for effective and adaptive defenses more critical than ever. In this dissertation, we develop a set of novel protection mechanisms, and introduce new concepts and techniques to secure commodity operating systems against attacks that exploit vulnerabilities in kernel code. Modern OSes opt for a shared process/kernel model to minimize the overhead of opera- tions that cross protection domains. However, this design choice provides a unique vantage point to local attackers, as it allows them to control—both in terms of permissions and contents—part of the memory that is accessible by the kernel, easily circumventing protec- tions like kernel-space ASLR and WˆX. Attacks that leverage the weak separation between user and kernel space, characterized as return-to-user (ret2usr) attacks, have been the de facto kernel exploitation technique in virtually every major OS, while they are not limited to the x86 platform, but have also targeted ARM and others. Given the multi-OS and cross-architecture nature of ret2usr threats, we propose kGuard: a kernel protection mechanism, realized as a cross-platform compiler extension, which can safeguard any 32- or 64-bit OS kernel from ret2usr attacks.
    [Show full text]
  • Access Control Policies and Companies Data Transmission Management Yoann Bertrand
    Access control policies and companies data transmission management Yoann Bertrand To cite this version: Yoann Bertrand. Access control policies and companies data transmission management. Other [cs.OH]. Université Côte d’Azur, 2017. English. NNT : 2017AZUR4012. tel-01544855 HAL Id: tel-01544855 https://tel.archives-ouvertes.fr/tel-01544855 Submitted on 22 Jun 2017 HAL is a multi-disciplinary open access L’archive ouverte pluridisciplinaire HAL, est archive for the deposit and dissemination of sci- destinée au dépôt et à la diffusion de documents entific research documents, whether they are pub- scientifiques de niveau recherche, publiés ou non, lished or not. The documents may come from émanant des établissements d’enseignement et de teaching and research institutions in France or recherche français ou étrangers, des laboratoires abroad, or from public or private research centers. publics ou privés. UNIVERSITÉ CÔTE-D’AZUR ÉCOLE DOCTORALE STIC SCIENCES ET TECHNOLOGIES DE L’INFORMATION ET DE LA COMMUNICATION THÈSE pour obtenir le titre de Docteur en Sciences de l’Université Côte d’Azur Mention : Informatique Présentée et soutenue par Yoann Bertrand Access control policies and companies data transmission management Thèse dirigée par Michel Riveill préparée au laboratoire I3S de Sophia Antipolis soutenue le 22 mars 2017 Jury : Rapporteurs : Romain LABORDE - Maitre de conférences HDR, Université Toulouse III Maryline LAURENT - Professeur, Telecom SudParis Examinateurs : Isabelle CHRISMENT - Professeur, Université Nancy I Laurent GOMEZ - Docteur, SAP Research France Président : Frédéric PRECIOSO - Professeur, Université Côte-d’Azur Directeur : Michel RIVEILL - Professeur, Université Côte-d’Azur Co-Encadrant : Karima BOUDAOUD - Maitre de conférences, Université Côte-d’Azur Informations Institutionnelles Cette these a été effectuée au sein du laboratoire I3S (Informatique, Signaux et Systèmes de Sophia Antipolis1), une Unité Mixte de Recherche CNRS/Université Côte d’Azur (UMR 7271), sous la direction de Michel Riveill et Karima Boudaoud.
    [Show full text]
  • Capability Hardware Enhanced RISC Instructions: CHERI Instruction-Set Architecture (Version 6)
    UCAM-CL-TR-907 Technical Report ISSN 1476-2986 Number 907 Computer Laboratory Capability Hardware Enhanced RISC Instructions: CHERI Instruction-Set Architecture (Version 6) Robert N. M. Watson, Peter G. Neumann, Jonathan Woodruff, Michael Roe, Jonathan Anderson, John Baldwin, David Chisnall, Brooks Davis, Alexandre Joannou, Ben Laurie, Simon W. Moore, Steven J. Murdoch, Robert Norton, Stacey Son, Hongyan Xia April 2017 15 JJ Thomson Avenue Cambridge CB3 0FD United Kingdom phone +44 1223 763500 http://www.cl.cam.ac.uk/ c 2017 Robert N. M. Watson, Peter G. Neumann, Jonathan Woodruff, Michael Roe, Jonathan Anderson, John Baldwin, David Chisnall, Brooks Davis, Alexandre Joannou, Ben Laurie, Simon W. Moore, Steven J. Murdoch, Robert Norton, Stacey Son, Hongyan Xia, SRI International Approved for public release; distribution is unlimited. Sponsored by the Defense Advanced Research Projects Agency (DARPA) and the Air Force Research Laboratory (AFRL), under contracts FA8750-10-C-0237 (“CTSRD”) and FA8750-11-C-0249 (“MRC2”) as part of the DARPA CRASH and DARPA MRC research programs. The views, opinions, and/or findings contained in this report are those of the authors and should not be interpreted as representing the official views or policies, either expressed or implied, of the Department of Defense or the U.S. Government. Additional support was received from St John’s College Cambridge, the Google SOAAP Focused Research Award, the RCUK’s Horizon Digital Economy Research Hub Grant (EP/G065802/1), the EPSRC REMS Programme Grant (EP/K008528/1), the EPSRC Impact Acceleration Account (EP/K503757/1), the Isaac Newton Trust, the UK Higher Education Innovation Fund (HEIF), Thales E-Security, ARM Ltd, and HP Enterprise.
    [Show full text]