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Automated Software Diversity (Synthesis Lectures on Information Security, Privacy, and Trust) - Softcover

 
9781627057349: Automated Software Diversity (Synthesis Lectures on Information Security, Privacy, and Trust)

Inhaltsangabe

Whereas user-facing applications are often written in modern languages, the firmware, operating system, support libraries, and virtual machines that underpin just about any modern computer system are still written in low-level languages that value flexibility and performance over convenience and safety. Programming errors in low-level code are often exploitable and can, in the worst case, give adversaries unfettered access to the compromised host system. This book provides an introduction to and overview of automatic software diversity techniques that, in one way or another, use randomization to greatly increase the difficulty of exploiting the vast amounts of low-level code in existence. Diversity-based defenses are motivated by the observation that a single attack will fail against multiple targets with unique attack surfaces. We introduce the many, often complementary, ways that one can diversify attack surfaces and provide an accessible guide to more than two decades worth of research on the topic. We also discuss techniques used in conjunction with diversity to prevent accidental disclosure of randomized program aspects and present an in-depth case study of one of our own diversification solutions.

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Reseña del editor

Whereas user-facing applications are often written in modern languages, the firmware, operating system, support libraries, and virtual machines that underpin just about any modern computer system are still written in low-level languages that value flexibility and performance over convenience and safety. Programming errors in low-level code are often exploitable and can, in the worst case, give adversaries unfettered access to the compromised host system. This book provides an introduction to and overview of automatic software diversity techniques that, in one way or another, use randomization to greatly increase the difficulty of exploiting the vast amounts of low-level code in existence. Diversity-based defenses are motivated by the observation that a single attack will fail against multiple targets with unique attack surfaces. We introduce the many, often complementary, ways that one can diversify attack surfaces and provide an accessible guide to more than two decades worth of research on the topic. We also discuss techniques used in conjunction with diversity to prevent accidental disclosure of randomized program aspects and present an in-depth case study of one of our own diversification solutions.

Biografía del autor

Per Larsen recently decided to try his luck as an entrepreneur and currently leads an information security startup: Immunant, Inc. Previously, he worked four years as a postdoctoral scholar at the University of California, Irvine. He graduated with a Ph.D. from the Technical University of Denmark in 2011. He enjoys caffeinated beverages and staying up very late. Stefan Brunthaler received a Dr.techn. with distinction from TU Vienna in 2011 and spent the next four years as postdoctoral scholar at the University of California, Irvine. Currently, he is a key researcher at SBA Research in Vienna, Austria, working on various topics in language-based security. Lucas Davi is a researcher at the Intel Collaborative Research Institute for Secure Computing (ICRI-SC) at Technische Universit t Darmstadt, Germany. He received his Ph.D. from Technische Universit t Darmstadt, Germany, in computer science, focusing on code-reuse attacks and defenses. His research focuses on exploits such as return-oriented programming (ROP) for diverse processor architectures. He is working on new attack methods and countermeasures against exploits such as control-flow integrity and software diversity. Ahmad-Reza Sadeghi is a full professor of Computer Science at Technische Universit t Darmstadt, Germany. He is the head of the System Security Lab at the Center for Advanced Security Research Darmstadt (CASED) and the Director of the Intel Collaborative Research Institute for Secure Computing (ICRI-SC) at TU Darmstadt. He holds a Ph.D. in Computer Science from the University of Saarland in Saarbr cken, Germany. Prior to academia, he worked in Research and Development of Telecommunications enterprises, amongst others Ericsson Telecommunications.

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9783031012181: Automated Software Diversity (Synthesis Lectures on Information Security, Privacy, and Trust)

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ISBN 10:  3031012186 ISBN 13:  9783031012181
Verlag: Springer, 2015
Softcover

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Per Larsen (author), Stefan Brunthaler (author), Lucas Davi (author) & Ahmad-Reza Sadeghi (author)
ISBN 10: 162705734X ISBN 13: 9781627057349
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