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Scalable Detection Of Similar Code
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Book Synopsis Scalable Detection of Similar Code by : Lingxiao Jiang
Download or read book Scalable Detection of Similar Code written by Lingxiao Jiang and published by . This book was released on 2009 with total page 362 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Book Synopsis Computer Security -- ESORICS 2013 by : Jason Crampton
Download or read book Computer Security -- ESORICS 2013 written by Jason Crampton and published by Springer. This book was released on 2013-08-15 with total page 810 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book constitutes the refereed proceedings of the 18th European Symposium on Computer Security, ESORICS 2013, held in Egham, UK, in September 2013. The 43 papers included in the book were carefully reviewed and selected from 242 papers. The aim of ESORICS is to further the progress of research in computer security by establishing a European forum for bringing together researchers in this area, by promoting the exchange of ideas with system developers and by encouraging links with researchers in related areas. The papers cover all topics related to security, privacy and trust in computer systems and networks.
Book Synopsis Detection of Intrusions and Malware, and Vulnerability Assessment by : Ulrich Flegel
Download or read book Detection of Intrusions and Malware, and Vulnerability Assessment written by Ulrich Flegel and published by Springer. This book was released on 2013-03-15 with total page 251 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book constitutes the refereed post-proceedings of the 9th International Conference on Detection of Intrusions and Malware, and Vulnerability Assessment, DIMVA 2012, held in Heraklion, Crete, Greece, in July 2012. The 10 revised full papers presented together with 4 short papers were carefully reviewed and selected from 44 submissions. The papers are organized in topical sections on malware, mobile security, secure design, and intrusion detection systems (IDS).
Book Synopsis Scalable Dynamic Analysis of Binary Code by : Ulf Kargén
Download or read book Scalable Dynamic Analysis of Binary Code written by Ulf Kargén and published by Linköping University Electronic Press. This book was released on 2019-08-22 with total page 73 pages. Available in PDF, EPUB and Kindle. Book excerpt: In recent years, binary code analysis, i.e., applying program analysis directly at the machine code level, has become an increasingly important topic of study. This is driven to a large extent by the information security community, where security auditing of closed-source software and analysis of malware are important applications. Since most of the high-level semantics of the original source code are lost upon compilation to executable code, static analysis is intractable for, e.g., fine-grained information flow analysis of binary code. Dynamic analysis, however, does not suffer in the same way from reduced accuracy in the absence of high-level semantics, and is therefore also more readily applicable to binary code. Since fine-grained dynamic analysis often requires recording detailed information about every instruction execution, scalability can become a significant challenge. In this thesis, we address the scalability challenges of two powerful dynamic analysis methods whose widespread use has, so far, been impeded by their lack of scalability: dynamic slicing and instruction trace alignment. Dynamic slicing provides fine-grained information about dependencies between individual instructions, and can be used both as a powerful debugging aid and as a foundation for other dynamic analysis techniques. Instruction trace alignment provides a means for comparing executions of two similar programs and has important applications in, e.g., malware analysis, security auditing, and plagiarism detection. We also apply our work on scalable dynamic analysis in two novel approaches to improve fuzzing — a popular random testing technique that is widely used in industry to discover security vulnerabilities. To use dynamic slicing, detailed information about a program execution must first be recorded. Since the amount of information is often too large to fit in main memory, existing dynamic slicing methods apply various time-versus-space trade-offs to reduce memory requirements. However, these trade-offs result in very high time overheads, limiting the usefulness of dynamic slicing in practice. In this thesis, we show that the speed of dynamic slicing can be greatly improved by carefully designing data structures and algorithms to exploit temporal locality of programs. This allows avoidance of the expensive trade-offs used in earlier methods by accessing recorded runtime information directly from secondary storage without significant random-access overhead. In addition to being a standalone contribution, scalable dynamic slicing also forms integral parts of our contributions to fuzzing. Our first contribution uses dynamic slicing and binary code mutation to automatically turn an existing executable into a test generator. In our experiments, this new approach to fuzzing achieved about an order of magnitude better code coverage than traditional mutational fuzzing and found several bugs in popular Linux software. The second work on fuzzing presented in this thesis uses dynamic slicing to accelerate the state-of-the-art fuzzer AFL by focusing the fuzzing effort on previously unexplored parts of the input space. For the second dynamic analysis technique whose scalability we sought to improve — instruction trace alignment — we employed techniques used in speech recognition and information retrieval to design what is, to the best of our knowledge, the first general approach to aligning realistically long program traces. We show in our experiments that this method is capable of producing meaningful alignments even in the presence of significant syntactic differences stemming from, for example, the use of different compilers or optimization levels.
Book Synopsis Scalable Detection of Semantically Similar Mobile Applications by :
Download or read book Scalable Detection of Semantically Similar Mobile Applications written by and published by . This book was released on 2012 with total page 9 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Book Synopsis Data and Applications Security and Privacy XXVIII by : Vijay Atluri
Download or read book Data and Applications Security and Privacy XXVIII written by Vijay Atluri and published by Springer. This book was released on 2014-06-27 with total page 404 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book constitutes the refereed proceedings of the 28th IFIP WG 11.3 International Working Conference on Data and Applications Security and Privacy, DBSec 2014, held in Vienna, Austria, in July 2014. The 22 revised full papers and 4 short papers presented were carefully reviewed and selected from 63 submissions. The papers are organized in topical sections on access control, privacy, networked and mobile environments, data access, cloud databases, and private retrieval.
Book Synopsis Scalable Semantics-based Detection of Similar Android Apps by : Jonathan Crussell
Download or read book Scalable Semantics-based Detection of Similar Android Apps written by Jonathan Crussell and published by . This book was released on 2014 with total page pages. Available in PDF, EPUB and Kindle. Book excerpt: Smart phones are rapidly becoming a fixture of modern day life. Their popularity and market penetration have given rise to a flourishing ecosystem of mobile apps that provide users with a wide range of useful functionality. Android users may download apps from Google's official Android Market or from a number of third-party markets. To ensure a healthy mobile app environment, users should have access to high quality apps and developers should be financially compensated for their efforts. However, apps may be copied, or "cloned," by a dishonest developer and released as her own, subverting revenue from the original developer or possibly including additional malicious functionality. I present two approaches to detect similar Android apps based on semantic information. I implement the first approach in a tool called DNADroid which robustly computes the similarity between two apps by comparing program dependency graphs between methods in candidiate apps. The second approach, implemented in a tool called AnDarwin, is capable of detecting similar apps on an unprecedented scale. In contrast to earlier approaches, AnDarwin has four advantages: it avoids comparing apps pairwise, thus greatly improving its scalability; it analyzes only the app code and does not rely on other information -- such as the app's market, signature, or description -- thus greatly increasing its reliability; it can detect both full and partial app similarity; and it can automatically detect library code and remove it from the similarity analysis. I evaluate DNADroid and AnDarwin on many Android apps crawled from multiple Android markets including the official Android Market. My evaluation demonstrates these tools' ability to accurately detect similar apps. Finally, I show how DNADroid and AnDarwin can be used in conjunction with other tools to gain insights into the app ecosystem such as the prevelance of malware families that commit ad fraud.
Book Synopsis Detection of Intrusions and Malware, and Vulnerability Assessment by : Michalis Polychronakis
Download or read book Detection of Intrusions and Malware, and Vulnerability Assessment written by Michalis Polychronakis and published by Springer. This book was released on 2017-06-27 with total page 414 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book constitutes the refereed proceedings of the 14th International Conference on Detection of Intrusions and Malware, and Vulnerability Assessment, DIMVA 2017, held in Bonn, Germany, in July 2017. The 18 revised full papers included in this book were carefully reviewed and selected from 67 submissions. They present topics such as enclaves and isolation; malware analysis; cyber-physical systems; detection and protection; code analysis; and web security.
Book Synopsis Parallel and Distributed Computing, Applications and Technologies by : Hong Shen
Download or read book Parallel and Distributed Computing, Applications and Technologies written by Hong Shen and published by Springer Nature. This book was released on 2022-03-15 with total page 643 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book constitutes the proceedings of the 22nd International Conference on Parallel and Distributed Computing, Applications, and Technologies, PDCAT 2021, which took place in Guangzhou, China, during December 17-19, 2021. The 24 full papers and 34 short papers included in this volume were carefully reviewed and selected from 97 submissions. The papers are categorized into the following topical sub-headings: networking and architectures, software systems and technologies, algorithms and applications, and security and privacy.
Book Synopsis Automated Technology for Verification and Analysis by : Yu-Fang Chen
Download or read book Automated Technology for Verification and Analysis written by Yu-Fang Chen and published by Springer Nature. This book was released on 2019-10-21 with total page 552 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book constitutes the refereed proceedings of the 17th International Symposium on Automated Technology for Verification and Analysis, ATVA 2019, held in Taipei, Taiwan in October 2019. The 24 regular papers presented together with 3 tool papers were carefully reviewed and selected from 65 submissions. The symposium is dedicated to the promotion of research on theoretical and practical aspects of automated analysis, verification and synthesis by providing a forum for interaction between the regional and the international research communities and industry in the field. The papers focus on cyber-physical systems; runtime techniques; testing; automata; synthesis; stochastic systems and model checking.
Book Synopsis Software Quality as a Foundation for Security by : Peter Bludau
Download or read book Software Quality as a Foundation for Security written by Peter Bludau and published by Springer Nature. This book was released on with total page 171 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Book Synopsis Software Systems Safety by : O. Grumberg
Download or read book Software Systems Safety written by O. Grumberg and published by IOS Press. This book was released on 2014-05-30 with total page 396 pages. Available in PDF, EPUB and Kindle. Book excerpt: Until quite recently, the correctness and security of software systems was a largely theoretical problem relevant only for a small group of computer specialists. Today it is a fundamental problem for society at large, with security breaches in banking software, malware attacks and bugs in programs affecting millions of people and making the headlines almost daily. The computer science community is developing verification and synthesis tools which will mechanize ever more tasks in the design of secure programs. This book presents the papers delivered at the NATO Advanced Study Institute (ASI) Summer School Marktoberdorf 2013 – Software Systems Safety. The participants represented research groups from both industry and academia, and the subjects covered included: software model checking via systematic testing, program synthesis, E voting systems, probabilistic model checking in biology, infinite state model checking, Boolean satisfiability, interactive proof, and software security by information flow control. The Marktoberdorf Summer School is one of the most renowned international computer science summer schools, and this book, with its detailed overview of current research results with special emphasis on the solving of software systems security problems, will be of interest to all those whose work involves systems security.
Book Synopsis Facing the Multicore-Challenge III by : Rainer Keller
Download or read book Facing the Multicore-Challenge III written by Rainer Keller and published by Springer. This book was released on 2013-01-11 with total page 156 pages. Available in PDF, EPUB and Kindle. Book excerpt: This state-of-the-art survey features topics related to the impact of multicore, manycore, and coprocessor technologies in science and large-scale applications in an interdisciplinary environment. The papers included in this survey cover research in mathematical modeling, design of parallel algorithms, aspects of microprocessor architecture, parallel programming languages, hardware-aware computing, heterogeneous platforms, manycore technologies, performance tuning, and requirements for large-scale applications. The contributions presented in this volume are an outcome of an inspiring conference conceived and organized by the editors at the University of Applied Sciences (HfT) in Stuttgart, Germany, in September 2012. The 10 revised full papers selected from 21 submissions are presented together with the twelve poster abstracts and focus on combination of new aspects of microprocessor technologies, parallel applications, numerical simulation, and software development; thus they clearly show the potential of emerging technologies in the area of multicore and manycore processors that are paving the way towards personal supercomputing and very likely towards exascale computing.
Book Synopsis Android Malware Detection using Machine Learning by : ElMouatez Billah Karbab
Download or read book Android Malware Detection using Machine Learning written by ElMouatez Billah Karbab and published by Springer Nature. This book was released on 2021-07-10 with total page 212 pages. Available in PDF, EPUB and Kindle. Book excerpt: The authors develop a malware fingerprinting framework to cover accurate android malware detection and family attribution in this book. The authors emphasize the following: (1) the scalability over a large malware corpus; (2) the resiliency to common obfuscation techniques; (3) the portability over different platforms and architectures. First, the authors propose an approximate fingerprinting technique for android packaging that captures the underlying static structure of the android applications in the context of bulk and offline detection at the app-market level. This book proposes a malware clustering framework to perform malware clustering by building and partitioning the similarity network of malicious applications on top of this fingerprinting technique. Second, the authors propose an approximate fingerprinting technique that leverages dynamic analysis and natural language processing techniques to generate Android malware behavior reports. Based on this fingerprinting technique, the authors propose a portable malware detection framework employing machine learning classification. Third, the authors design an automatic framework to produce intelligence about the underlying malicious cyber-infrastructures of Android malware. The authors then leverage graph analysis techniques to generate relevant intelligence to identify the threat effects of malicious Internet activity associated with android malware. The authors elaborate on an effective android malware detection system, in the online detection context at the mobile device level. It is suitable for deployment on mobile devices, using machine learning classification on method call sequences. Also, it is resilient to common code obfuscation techniques and adaptive to operating systems and malware change overtime, using natural language processing and deep learning techniques. Researchers working in mobile and network security, machine learning and pattern recognition will find this book useful as a reference. Advanced-level students studying computer science within these topic areas will purchase this book as well.
Book Synopsis Intrusion Detection and Prevention for Mobile Ecosystems by : Georgios Kambourakis
Download or read book Intrusion Detection and Prevention for Mobile Ecosystems written by Georgios Kambourakis and published by CRC Press. This book was released on 2017-09-06 with total page 477 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book presents state-of-the-art contributions from both scientists and practitioners working in intrusion detection and prevention for mobile networks, services, and devices. It covers fundamental theory, techniques, applications, as well as practical experiences concerning intrusion detection and prevention for the mobile ecosystem. It also includes surveys, simulations, practical results and case studies.
Book Synopsis Theoretical Aspects of Software Engineering by : Cristina David
Download or read book Theoretical Aspects of Software Engineering written by Cristina David and published by Springer Nature. This book was released on 2023-06-26 with total page 375 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book constitutes the proceedings of the 17th International Conference on Theoretical Aspects of Software Engineering, TASE 2023, held in Bristol, UK, July 4–6, 2023. The 19 full papers and 2 short papers included in this book were carefully reviewed and selected from 49 submissions. They cover the following areas: distributed and concurrent systems; cyber-physical systems; embedded and real-time systems; object-oriented systems; quantum computing; formal verification and program semantics; static analysis; formal methods; verification and testing for AI systems; and AI for formal methods.
Book Synopsis ICT Systems Security and Privacy Protection by : Audun Jøsang
Download or read book ICT Systems Security and Privacy Protection written by Audun Jøsang and published by Springer Nature. This book was released on 2021-06-17 with total page 448 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book constitutes the refereed proceedings of the 36th IFIP TC 11 International Conference on Information Security and Privacy Protection, SEC 2021, held in Oslo, Norway, in June 2021.* The 28 full papers presented were carefully reviewed and selected from 112 submissions. The papers present novel research on theoretical and practical aspects of security and privacy protection in ICT systems. They are organized in topical sections on digital signatures; vulnerability management; covert channels and cryptography; application and system security; privacy; network security; machine learning for security; and security management. *The conference was held virtually.