Choose an application

• Reference Manager
• EndNote
• RefWorks (Direct export to RefWorks)

Computer science --- Programming --- Computer architecture. Operating systems --- Information systems --- Computer. Automation --- ICT (informatie- en communicatietechnieken) --- embedded systems --- DES (data encryption standard) --- computerbesturingssystemen --- programmeren (informatica) --- informatiesystemen --- Java (informatica) --- OS (operating system)

Choose an application

• Reference Manager
• EndNote
• RefWorks (Direct export to RefWorks)

Verification and validation represents an important process used for the quality assessment of engineered systems and their compliance with the requirements established at the beginning of or during the development cycle. Debbabi and his coauthors investigate methodologies and techniques that can be employed for the automatic verification and validation of systems engineering design models expressed in standardized modeling languages. Their presentation includes a bird’s eye view of the most prominent modeling languages for software and systems engineering, namely the Unified Modeling Language (UML) and the more recent Systems Modeling Language (SysML). Moreover, it elaborates on a number of quantitative and qualitative techniques that synergistically combine automatic verification techniques, program analysis, and software engineering quantitative methods applicable to design models described in these modeling languages. Each of these techniques is additionally explained using a case study highlighting the process, its results, and resulting changes in the system design. Researchers in academia and industry as well as students specializing in software and systems engineering will find here an overview of state-of-the-art validation and verification techniques. Due to their close association with the UML standard, the presented approaches are also applicable to industrial software development.

Computer science --- Programming --- Computer architecture. Operating systems --- Computer. Automation --- MIS (management informatie systeem) --- computers --- informatica --- computerbesturingssystemen --- programmeren (informatica) --- software engineering --- informatica management --- computerkunde

Choose an application

• Reference Manager
• EndNote
• RefWorks (Direct export to RefWorks)

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.

Mathematical statistics --- Programming --- Computer architecture. Operating systems --- Computer. Automation --- patroonherkenning --- veiligheid (technologie) --- GSM (global system for mobile communications) --- factoranalyse --- programmeren (informatica) --- netwerken (informatica) --- mobiele communicatie

Choose an application

• Reference Manager
• EndNote
• RefWorks (Direct export to RefWorks)

This book addresses automated software fingerprinting in binary code, especially for cybersecurity applications. The reader will gain a thorough understanding of binary code analysis and several software fingerprinting techniques for cybersecurity applications, such as malware detection, vulnerability analysis, and digital forensics. More specifically, it starts with an overview of binary code analysis and its challenges, and then discusses the existing state-of-the-art approaches and their cybersecurity applications. Furthermore, it discusses and details a set of practical techniques for compiler provenance extraction, library function identification, function fingerprinting, code reuse detection, free open-source software identification, vulnerability search, and authorship attribution. It also illustrates several case studies to demonstrate the efficiency, scalability and accuracy of the above-mentioned proposed techniques and tools. This book also introduces several innovative quantitative and qualitative techniques that synergistically leverage machine learning, program analysis, and software engineering methods to solve binary code fingerprinting problems, which are highly relevant to cybersecurity and digital forensics applications. The above-mentioned techniques are cautiously designed to gain satisfactory levels of efficiency and accuracy. Researchers working in academia, industry and governmental agencies focusing on Cybersecurity will want to purchase this book. Software engineers and advanced-level students studying computer science, computer engineering and software engineering will also want to purchase this book.

Criminal law. Criminal procedure --- Biomathematics. Biometry. Biostatistics --- Computer. Automation --- biomathematica --- computerbeveiliging --- computercriminaliteit