Data Science in Cybersecurity and Cyberthreat Intelligence
Data Science in Cybersecurity and Cyberthreat Intelligence

Author: Leslie F. Sikos

Publisher: Springer Nature

Published: 2020-02-05

Total Pages: 140

ISBN-13: 3030387887

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This book presents a collection of state-of-the-art approaches to utilizing machine learning, formal knowledge bases and rule sets, and semantic reasoning to detect attacks on communication networks, including IoT infrastructures, to automate malicious code detection, to efficiently predict cyberattacks in enterprises, to identify malicious URLs and DGA-generated domain names, and to improve the security of mHealth wearables. This book details how analyzing the likelihood of vulnerability exploitation using machine learning classifiers can offer an alternative to traditional penetration testing solutions. In addition, the book describes a range of techniques that support data aggregation and data fusion to automate data-driven analytics in cyberthreat intelligence, allowing complex and previously unknown cyberthreats to be identified and classified, and countermeasures to be incorporated in novel incident response and intrusion detection mechanisms.

Artificial Intelligence for Cybersecurity
Artificial Intelligence for Cybersecurity

Author: Mark Stamp

Publisher: Springer Nature

Published: 2022-07-15

Total Pages: 388

ISBN-13: 3030970876

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This book explores new and novel applications of machine learning, deep learning, and artificial intelligence that are related to major challenges in the field of cybersecurity. The provided research goes beyond simply applying AI techniques to datasets and instead delves into deeper issues that arise at the interface between deep learning and cybersecurity. This book also provides insight into the difficult "how" and "why" questions that arise in AI within the security domain. For example, this book includes chapters covering "explainable AI", "adversarial learning", "resilient AI", and a wide variety of related topics. It’s not limited to any specific cybersecurity subtopics and the chapters touch upon a wide range of cybersecurity domains, ranging from malware to biometrics and more. Researchers and advanced level students working and studying in the fields of cybersecurity (equivalently, information security) or artificial intelligence (including deep learning, machine learning, big data, and related fields) will want to purchase this book as a reference. Practitioners working within these fields will also be interested in purchasing this book.

Advances in Computer Communication and Computational Sciences
Advances in Computer Communication and Computational Sciences

Author: Sanjiv K. Bhatia

Publisher: Springer

Published: 2019-05-21

Total Pages: 741

ISBN-13: 9811368619

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This book includes key insights that reflect ‘Advances in Computer and Computational Sciences’ from upcoming researchers and leading academics around the globe. It gathers high-quality, peer-reviewed papers presented at the International Conference on Computer, Communication and Computational Sciences (IC4S 2018), which was held on 20-21 October, 2018 in Bangkok. The book covers a broad range of topics, including intelligent hardware and software design, advanced communications, intelligent computing techniques, intelligent image processing, and web and informatics. Its goal is to familiarize readers from the computer industry and academia with the latest advances in next-generation computer and communication technology, which they can subsequently integrate into real-world applications.

Malware Detection
Malware Detection

Author: Mihai Christodorescu

Publisher: Springer Science & Business Media

Published: 2007-03-06

Total Pages: 307

ISBN-13: 0387445994

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This book captures the state of the art research in the area of malicious code detection, prevention and mitigation. It contains cutting-edge behavior-based techniques to analyze and detect obfuscated malware. The book analyzes current trends in malware activity online, including botnets and malicious code for profit, and it proposes effective models for detection and prevention of attacks using. Furthermore, the book introduces novel techniques for creating services that protect their own integrity and safety, plus the data they manage.

Proceedings of SAI Intelligent Systems Conference (IntelliSys) 2016
Proceedings of SAI Intelligent Systems Conference (IntelliSys) 2016

Author: Yaxin Bi

Publisher: Springer

Published: 2017-08-22

Total Pages: 1084

ISBN-13: 3319569910

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These proceedings of the SAI Intelligent Systems Conference 2016 (IntelliSys 2016) offer a remarkable collection of papers on a wide range of topics in intelligent systems, and their applications to the real world. Authors hailing from 56 countries on 5 continents submitted 404 papers to the conference, attesting to the global importance of the conference’s themes. After being reviewed, 222 papers were accepted for presentation, and 168 were ultimately selected for these proceedings. Each has been reviewed on the basis of its originality, novelty and rigorousness. The papers not only present state-of-the-art methods and valuable experience from researchers in the related research areas; they also outline the field’s future development.

Information and Communications Security
Information and Communications Security

Author: Weizhi Meng

Publisher: Springer Nature

Published: 2020-11-28

Total Pages: 608

ISBN-13: 3030610780

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This book constitutes the refereed proceedings of the 22nd International Conference on Information and Communications Security, ICICS 2020, held in Copenhagen, Denmark*, in August 2020. The 33 revised full papers were carefully selected from 139 submissions. The papers focus in topics about computer and communication security, and are organized in topics of security and cryptography. *The conference was held virtually due to the COVID-19 pandemic.

Distributed Applications and Interoperable Systems
Distributed Applications and Interoperable Systems

Author: Anne Remke

Publisher: Springer Nature

Published: 2020-06-08

Total Pages: 209

ISBN-13: 3030503232

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This book constitutes the proceedings of the 20th IFIP International Conference on Distributed Applications and Interoperable Systems, DAIS 2020, which was supposed to be held in Valletta, Malta, in June 2020, as part of the 15th International Federated Conference on Distributed Computing Techniques, DisCoTec 2020. The conference was held virtually due to the COVID-19 pandemic. The 10 full papers presented together with 1 short paper and 1 invited paper were carefully reviewed and selected from 17 submissions. The papers addressed challenges in multiple application areas, such as privacy and security, cloud and systems, fault-tolerance and reproducibility, machine learning for systems, and distributed algorithms.

Frontiers in Cyber Security
Frontiers in Cyber Security

Author: Guangquan Xu

Publisher: Springer Nature

Published: 2020-11-05

Total Pages: 680

ISBN-13: 9811597391

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This book constitutes the proceedings of the Third International Conference on Frontiers in Cyber Security, FCS 2020, held in Tianjin, China*, in November 2020. The 39 full papers along with the 10 short papers presented were carefully reviewed and selected from 143 submissions. The papers are organized in topical sections on: IoT security; artificial intelligence; blockchain; cyber-physical systems security; cryptography; database security; depth estimation; mobile security; network security; privacy; program analysis; quantum cryptography; steganography; web security. *The conference was held virtually due to the COVID-19 pandemic.

Heterogeneous Computing with OpenCL 2.0
Heterogeneous Computing with OpenCL 2.0

Author: David R. Kaeli

Publisher: Morgan Kaufmann

Published: 2015-06-18

Total Pages: 330

ISBN-13: 0128016493

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Heterogeneous Computing with OpenCL 2.0 teaches OpenCL and parallel programming for complex systems that may include a variety of device architectures: multi-core CPUs, GPUs, and fully-integrated Accelerated Processing Units (APUs). This fully-revised edition includes the latest enhancements in OpenCL 2.0 including: • Shared virtual memory to increase programming flexibility and reduce data transfers that consume resources • Dynamic parallelism which reduces processor load and avoids bottlenecks • Improved imaging support and integration with OpenGL Designed to work on multiple platforms, OpenCL will help you more effectively program for a heterogeneous future. Written by leaders in the parallel computing and OpenCL communities, this book explores memory spaces, optimization techniques, extensions, debugging and profiling. Multiple case studies and examples illustrate high-performance algorithms, distributing work across heterogeneous systems, embedded domain-specific languages, and will give you hands-on OpenCL experience to address a range of fundamental parallel algorithms. Updated content to cover the latest developments in OpenCL 2.0, including improvements in memory handling, parallelism, and imaging support Explanations of principles and strategies to learn parallel programming with OpenCL, from understanding the abstraction models to thoroughly testing and debugging complete applications Example code covering image analytics, web plugins, particle simulations, video editing, performance optimization, and more