TY - BOOK ID - 8360586 TI - Software Similarity and Classification AU - Cesare, Silvio. AU - Xiang, Yang. PY - 2012 SN - 1447129083 9786613703422 1280793031 1447129091 PB - London : Springer London : Imprint: Springer, DB - UniCat KW - Data protection. KW - Malware (Computer software). KW - Software engineering. KW - Software protection. KW - Engineering & Applied Sciences KW - Computer Science KW - Malware (Computer software) KW - Computer software engineering KW - Computer code, Malicious KW - Malevolent software KW - Malicious computer code KW - Malicious software KW - Software, Malevolent KW - Software, Malicious KW - Computer software protection KW - Protection of software KW - Computer science. KW - Computer security. KW - Computers. KW - Law and legislation. KW - Computer Science. KW - Systems and Data Security. KW - Legal Aspects of Computing. KW - Engineering KW - Computer software KW - Computers KW - Access control KW - Cyberspace KW - Computer privacy KW - Computer system security KW - Computer systems KW - Cyber security KW - Cybersecurity KW - Electronic digital computers KW - Protection of computer systems KW - Security of computer systems KW - Data protection KW - Security systems KW - Hacking KW - Law and legislation KW - Protection KW - Security measures KW - Automatic computers KW - Automatic data processors KW - Computer hardware KW - Computing machines (Computers) KW - Electronic brains KW - Electronic calculating-machines KW - Electronic computers KW - Hardware, Computer KW - Cybernetics KW - Machine theory KW - Calculators UR - https://www.unicat.be/uniCat?func=search&query=sysid:8360586 AB - Software similarity and classification is an emerging topic with wide applications. It is applicable to the areas of malware detection, software theft detection, plagiarism detection, and software clone detection. Extracting program features, processing those features into suitable representations, and constructing distance metrics to define similarity and dissimilarity are the key methods to identify software variants, clones, derivatives, and classes of software. Software Similarity and Classification reviews the literature of those core concepts, in addition to relevant literature in each application and demonstrates that considering these applied problems as a similarity and classification problem enables techniques to be shared between areas. Additionally, the authors present in-depth case studies using the software similarity and classification techniques developed throughout the book. ER -