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Cybersecurity Analytics
Cybersecurity Analytics is for the cybersecurity student and professional who wants to learn data science techniques critical for tackling cybersecurity challenges, and for the data science student and professional who wants to learn about cybersecurity adaptations. Trying to build a malware detector, a phishing email detector, or just interested in finding patterns in your datasets? This book can let you do it on your own. Numerous examples and datasets links are included so that the reader can "learn by doing." Anyone with a basic college-level calculus course and some probability knowledge can easily understand most of the material. The book includes chapters containing: unsupervised learning, semi-supervised learning, supervised learning, text mining, natural language processing, and more. It also includes background on security, statistics, and linear algebra. The website for the book contains a listing of datasets, updates, and other resources for serious practitioners.
Cybersecurity Analytics
Cybersecurity Analytics is for the cybersecurity student and professional who wants to learn data science techniques critical for tackling cybersecurity challenges, and for the data science student and professional who wants to learn about cybersecurity adaptations. Trying to build a malware detector, a phishing email detector, or just interested in finding patterns in your datasets? This book can let you do it on your own. Numerous examples and datasets links are included so that the reader can "learn by doing." Anyone with a basic college-level calculus course and some probability knowledge can easily understand most of the material. The book includes chapters containing: unsupervised learning, semi-supervised learning, supervised learning, text mining, natural language processing, and more. It also includes background on security, statistics, and linear algebra. The website for the book contains a listing of datasets, updates, and other resources for serious practitioners.
Rewriting Techniques and Applications
This volume contains the proceedings of RTA-93, the fifth International Conference on Rewriting Techniques and Applications, held in Montreal, Canada, in June 1993. The volume includes three invited lectures, "Rewrite techniques in theorem proving" (L. Bachmair), "Proving properties of typed lambda terms: realizability, covers, and sheaves" (J. Gallier), and "On some algorithmic problems for groups and monoids" (S.J. Adian), together with 29 selected papers, 6 system descriptions, and a list of open problems in the field. The papers covermany topics: term rewriting; termination; graph rewriting; constraint solving; semantic unification, disunification and combination; higher-order logics; and theorem proving, with several papers on distributed theorem proving, theorem proving with constraints and completion.
Rewriting Techniques and Applications
This book constitutes the refereed proceedings of the 10th International Conference on Rewriting Techniques and Applications, RTA-99, held in Trento, Italy in July 1999 as part of FLoC'99. The 23 revised full papers presented were carefully selected from a total of 53 submissions. Also included are four system descriptions as well as three invited contributions. Among the topics covered are constraint solving, termination, deduction and higher order rewriting, graphs, complexity, tree automata, context-sensitive rewriting, string rewriting and numeration systems, etc.
Information Systems Security
This book constitutes the refereed proceedings of the 5th International Conference on Information Systems Security, ICISS 2009, held in Kolkata, India, in December 2009. The 17 revised full papers and 4 short papers, presented together with 4 keynote talks were carefully reviewed and selected from 85 initial submissions. The papers are organized in topical sections on authentication, verification, systems security, behavior analysis, database security, and cryptography.
9th International Conference on Automated Deduction
This volume contains the papers presented at the Ninth International Conference on Automated Deduction (CADE-9) held May 23-26 at Argonne National Laboratory, Argonne, Illinois. The conference commemorates the twenty-fifth anniversary of the discovery of the resolution principle, which took place during the summer of 1963. The CADE conferences are a forum for reporting on research on all aspects of automated deduction, including theorem proving, logic programming, unification, deductive databases, term rewriting, ATP for non-standard logics, and program verification. All papers submitted to the conference were refereed by at least two referees, and the program committee accepted the 52 that appear here. Also included in this volume are abstracts of 21 implementations of automated deduction systems.
Innovation Through Information Systems
This book presents the current state of research in information systems and digital transformation. Due to the global trend of digitalization and the impact of the Covid 19 pandemic, the need for innovative, high-quality research on information systems is higher than ever. In this context, the book covers a wide range of topics, such as digital innovation, business analytics, artificial intelligence, and IT strategy, which affect companies, individuals, and societies. This volume gathers the revised and peer-reviewed papers on the topic "Technology" presented at the International Conference on Information Systems, held at the University of Duisburg-Essen in 2021.
Tools and Algorithms for the Construction and Analysis of Systems
ETAPS'99 is the second instance of the European Joint Conferences on Theory and Practice of Software. ETAPS is an annual federated conference that was established in 1998 by combining a number of existing and new conferences. This year it comprises ve conferences (FOSSACS, FASE, ESOP, CC, TACAS), four satellite workshops (CMCS, AS, WAGA, CoFI), seven invited lectures, two invited tutorials, and six contributed tutorials. The events that comprise ETAPS address various aspects of the system - velopment process, including speci cation, design, implementation, analysis and improvement. The languages, methodologies and tools which support these - tivities are all well within its scope. Dieren t blends of theory and practice are represented, with an inclination towards theory with a practical motivation on one hand and soundly-based practice on the other. Many of the issues involved in software design apply to systems in general, including hardware systems, and the emphasis on software is not intended to be exclusive.
Information Systems Security
This book constitutes the refereed proceedings of the 4th International Conference on Information Systems Security, ICISS 2008, held in Hyderabad, India, in December 2008. The 15 revised full papers, 4 short papers, and 2 research reports presented together with 4 keynote talks were carefully reviewed and selected from 81 submissions. The papers span a wide range of topics including access control, cryptography, forensics, formal methods and language-based security, intrusion detection, malware defense, network and Web security, operating system security, and privacy, and are organized in topical sections on languages and formal methods, protocols, ongoing research, intrusion detection, biometrics, forensics and steganography, and practical applications.
Adversary-Aware Learning Techniques and Trends in Cybersecurity
This book is intended to give researchers and practitioners in the cross-cutting fields of artificial intelligence, machine learning (AI/ML) and cyber security up-to-date and in-depth knowledge of recent techniques for improving the vulnerabilities of AI/ML systems against attacks from malicious adversaries. The ten chapters in this book, written by eminent researchers in AI/ML and cyber-security, span diverse, yet inter-related topics including game playing AI and game theory as defenses against attacks on AI/ML systems, methods for effectively addressing vulnerabilities of AI/ML operating in large, distributed environments like Internet of Things (IoT) with diverse data modalities, and, techniques to enable AI/ML systems to intelligently interact with humans that could be malicious adversaries and/or benign teammates. Readers of this book will be equipped with definitive information on recent developments suitable for countering adversarial threats in AI/ML systems towards making them operate in a safe, reliable and seamless manner.
