Research Anthology on Artificial Intelligence Applications in Security (4 Volumes),
Автор: Batina Lejla, Bдck Thomas, Buhan Ileana Название: Security and Artificial Intelligence: A Crossdisciplinary Approach ISBN: 3030987949 ISBN-13(EAN): 9783030987947 Издательство: Springer Рейтинг: Цена: 74530.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание: AI has become an emerging technology to assess security and privacy, with many challenges and potential solutions at the algorithm, architecture, and implementation levels. So far, research on AI and security has looked at subproblems in isolation but future solutions will require sharing of experience and best practice in these domains. The editors of this State-of-the-Art Survey invited a cross-disciplinary team of researchers to a Lorentz workshop in 2019 to improve collaboration in these areas. Some contributions were initiated at the event, others were developed since through further invitations, editing, and cross-reviewing. This contributed book contains 14 invited chapters that address side-channel attacks and fault injection, cryptographic primitives, adversarial machine learning, and intrusion detection. The chapters were evaluated based on their significance, technical quality, and relevance to the topics of security and AI, and each submission was reviewed in single-blind mode and revised.
Название: Handbook of research on cyber security intelligence and analytics ISBN: 1668439913 ISBN-13(EAN): 9781668439913 Издательство: Mare Nostrum (Eurospan) Рейтинг: Цена: 327090.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание: Discusses critical artificial intelligence technologies that are utilized in cyber security and considers various cyber security issues and their optimal solutions supported by artificial intelligence. Tehe book covers a wide range of topics, including malware, smart grid, data breachers, and machine learning.
Автор: Stamp Название: Cybersecurity for Artificial Intelligence ISBN: 3030970868 ISBN-13(EAN): 9783030970864 Издательство: Springer Рейтинг: Цена: 139750.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание: 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.
Автор: Sun Название: Advances in Artificial Intelligence and Security ISBN: 3031067630 ISBN-13(EAN): 9783031067631 Издательство: Springer Рейтинг: Цена: 121110.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание: The 3-volume set CCIS 1586, CCIS 1587 and CCIS 1588 constitutes the refereed proceedings of the 8th International Conference on Artificial Intelligence and Security, ICAIS 2022, which was held in Qinghai, China, in July 2022. The total of 115 full papers and 53 short papers presented in this 3-volume proceedings was carefully reviewed and selected from 1124 submissions. The papers were organized in topical sections as follows: Part I: artificial intelligence; Part II: artificial intelligence; big data; cloud computing and security; multimedia forensics; Part III: encryption and cybersecurity; information hiding; IoT security.
Автор: Zaman Название: Artificial Intelligence for Cyber Security: An IoT Perspective ISBN: 111976226X ISBN-13(EAN): 9781119762263 Издательство: Wiley Рейтинг: Цена: 198470.00 T Наличие на складе: Поставка под заказ. Описание: Ob zu Hause oder auf der Buhne: Diese Originalkompositionen fur zwei Floten aus Barock, Klassik, Romantik und Moderne machen einfach Spa! Als unterrichtsbegleitende Literatur schulen die Stucke auerdem das Stilgefuhl und die Interpretation der Musik der verschiedenen Epochen. Gefordert werden alle Aspekte des Duospiels wie die Sicherheit im Fuhren einer eigenen Stimme, die Vorstellung fur einen ausgewogenen Klang, die Intonation und der Aufbau der Kondition. Besetzung:2 flutes
Автор: Khalid Saeed; Jerzy Pejas; Romuald Mosdorf Название: Biometrics, Computer Security Systems and Artificial Intelligence Applications ISBN: 1441942122 ISBN-13(EAN): 9781441942128 Издательство: Springer Рейтинг: Цена: 194730.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание: This book presents the most recent achievements in some rapidly developing fields within Computer Science. This includes the very latest research in biometrics and computer security systems, and descriptions of the latest inroads in artificial intelligence applications. The book contains over 30 articles by well-known scientists and engineers.
Автор: Sun Xingming, Pan Zhaoqing, Bertino Elisa Название: Artificial Intelligence and Security: 5th International Conference, Icais 2019, New York, Ny, Usa, July 26-28, 2019, Proceedings, Part II ISBN: 3030242641 ISBN-13(EAN): 9783030242640 Издательство: Springer Рейтинг: Цена: 46570.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание: The 4-volume set LNCS 11632 until LNCS 11635 constitutes the refereed proceedings of the 5th International Conference on Artificial Intelligence and Security, ICAIS 2019, which was held in New York, USA, in July 2019. The conference was formerly called "International Conference on Cloud Computing and Security" with the acronym ICCCS.
The total of 230 full papers presented in this 4-volume proceedings was carefully reviewed and selected from 1529 submissions. The papers were organized in topical sections as follows:
Part I: cloud computing; Part II: artificial intelligence; big data; and cloud computing and security; Part III: cloud computing and security; information hiding; IoT security; multimedia forensics; and encryption and cybersecurity; Part IV: encryption and cybersecurity.
Автор: Danfeng (Daphne) Yao, Xiaokui Shu, Long Cheng, Salvatore J. Stolfo Название: Anomaly Detection as a Service: Challenges, Advances, and Opportunities ISBN: 1681732424 ISBN-13(EAN): 9781681732428 Издательство: Mare Nostrum (Eurospan) Цена: 97950.00 T Наличие на складе: Невозможна поставка. Описание: Anomaly detection has been a long-standing security approach with versatile applications, ranging from securing server programs in critical environments, to detecting insider threats in enterprises, to anti-abuse detection for online social networks. Despite the seemingly diverse application domains, anomaly detection solutions share similar technical challenges, such as how to accurately recognize various normal patterns, how to reduce false alarms, how to adapt to concept drifts, and how to minimize performance impact. They also share similar detection approaches and evaluation methods, such as feature extraction, dimension reduction, and experimental evaluation.The main purpose of this book is to help advance the real-world adoption and deployment anomaly detection technologies, by systematizing the body of existing knowledge on anomaly detection. This book is focused on data-driven anomaly detection for software, systems, and networks against advanced exploits and attacks, but also touches on a number of applications, including fraud detection and insider threats. We explain the key technical components in anomaly detection workflows, give in-depth description of the state-of-the-art data-driven anomaly-based security solutions, and more importantly, point out promising new research directions. This book emphasizes on the need and challenges for deploying service-oriented anomaly detection in practice, where clients can outsource the detection to dedicated security providers and enjoy the protection without tending to the intricate details.
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