Автор: Martin Ebers, Susana Navas Название: Algorithms and Law ISBN: 1108424821 ISBN-13(EAN): 9781108424820 Издательство: Cambridge Academ Рейтинг: Цена: 105600.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание: This collection is the first to comprehensively examine the implications of AI technology on legal and regulatory systems. Featuring experts from Europe and the US, this book will appeal to scholars of law, economics, and public policy, as well as readers generally interested in emerging legal questions related to algorithms.
Автор: Welsh Название: Ethics and Security Automata ISBN: 1138050229 ISBN-13(EAN): 9781138050228 Издательство: Taylor&Francis Рейтинг: Цена: 153120.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание: An accessible overview of the machine ethics technology likely to be installed in military and police robots and in civilian robots with security functions such as childcare. The author builds upon existing research to define the conditions under which robotic force can and should be used to preserve human security.
Автор: Giovanni Sartor; L. Karl Branting Название: Judicial Applications of Artificial Intelligence ISBN: 9048151368 ISBN-13(EAN): 9789048151363 Издательство: Springer Рейтинг: Цена: 130430.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание: The judiciary is in the early stages of a transformation in which AI (Artificial Intelligence) technology will help to make the judicial process faster, cheaper, and more predictable without compromising the integrity of judges` discretionary reasoning.
Автор: Gabriel Hallevy Название: Liability for Crimes Involving Artificial Intelligence Systems ISBN: 3319361767 ISBN-13(EAN): 9783319361765 Издательство: Springer Рейтинг: Цена: 111790.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание: The book develops a general legal theory concerning the liability for offenses involving artificial intelligence systems.
Автор: Micha? Araszkiewicz; Jarom?r ?avelka Название: Coherence: Insights from Philosophy, Jurisprudence and Artificial Intelligence ISBN: 940178325X ISBN-13(EAN): 9789401783255 Издательство: Springer Рейтинг: Цена: 130430.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание: This book thoroughly explores coherence and its significance in legal reasoning from the general philosophical perspective, the perspective of legal theory, and from the viewpoint of cognitive sciences, including research on artificial intelligence and law.
Автор: Xingming Sun; Zhaoqing Pan; Elisa Bertino Название: Artificial Intelligence and Security ISBN: 3030242676 ISBN-13(EAN): 9783030242671 Издательство: Springer Рейтинг: Цена: 83850.00 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: Wischmeyer Thomas, Rademacher Timo Название: Regulating Artificial Intelligence ISBN: 3030323609 ISBN-13(EAN): 9783030323608 Издательство: Springer Рейтинг: Цена: 130430.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание: This book assesses the normative and practical challenges for artificial intelligence (AI) regulation, offers comprehensive information on the laws that currently shape or restrict the design or use of AI, and develops policy recommendations for those areas in which regulation is most urgently needed.
Автор: Gabriel Hallevy Название: Liability for Crimes Involving Artificial Intelligence Systems ISBN: 3319101234 ISBN-13(EAN): 9783319101231 Издательство: Springer Рейтинг: Цена: 111790.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание: The book develops a general legal theory concerning the liability for offenses involving artificial intelligence systems.
Автор: Chamundeswari Arumugam, Sanjay Misra, Saraswathi S, Suresh Jaganathan Название: Confluence of AI, Machine, and Deep Learning in Cyber Forensics ISBN: 1799858383 ISBN-13(EAN): 9781799858386 Издательство: Mare Nostrum (Eurospan) Рейтинг: Цена: 152460.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание: Developing a knowledge model helps to formalize the difficult task of analyzing crime incidents in addition to preserving and presenting the digital evidence for legal processing. The use of data analytics techniques to collect evidence assists forensic investigators in following the standard set of forensic procedures, techniques, and methods used for evidence collection and extraction. Varieties of data sources and information can be uniquely identified, physically isolated from the crime scene, protected, stored, and transmitted for investigation using AI techniques. With such large volumes of forensic data being processed, different deep learning techniques may be employed.
Confluence of AI, Machine, and Deep Learning in Cyber Forensics contains cutting-edge research on the latest AI techniques being used to design and build solutions that address prevailing issues in cyber forensics and that will support efficient and effective investigations. This book seeks to understand the value of the deep learning algorithm to handle evidence data as well as the usage of neural networks to analyze investigation data. Other themes that are explored include machine learning algorithms that allow machines to interact with the evidence, deep learning algorithms that can handle evidence acquisition and preservation, and techniques in both fields that allow for the analysis of huge amounts of data collected during a forensic investigation. This book is ideally intended for forensics experts, forensic investigators, cyber forensic practitioners, researchers, academicians, and students interested in cyber forensics, computer science and engineering, information technology, and electronics and communication.
Автор: Chamundeswari Arumugam, Sanjay Misra, Saraswathi S, Suresh Jaganathan Название: Confluence of AI, Machine, and Deep Learning in Cyber Forensics ISBN: 1799849007 ISBN-13(EAN): 9781799849001 Издательство: Mare Nostrum (Eurospan) Рейтинг: Цена: 201430.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание: Developing a knowledge model helps to formalize the difficult task of analyzing crime incidents in addition to preserving and presenting the digital evidence for legal processing. The use of data analytics techniques to collect evidence assists forensic investigators in following the standard set of forensic procedures, techniques, and methods used for evidence collection and extraction. Varieties of data sources and information can be uniquely identified, physically isolated from the crime scene, protected, stored, and transmitted for investigation using AI techniques. With such large volumes of forensic data being processed, different deep learning techniques may be employed.
Confluence of AI, Machine, and Deep Learning in Cyber Forensics contains cutting-edge research on the latest AI techniques being used to design and build solutions that address prevailing issues in cyber forensics and that will support efficient and effective investigations. This book seeks to understand the value of the deep learning algorithm to handle evidence data as well as the usage of neural networks to analyze investigation data. Other themes that are explored include machine learning algorithms that allow machines to interact with the evidence, deep learning algorithms that can handle evidence acquisition and preservation, and techniques in both fields that allow for the analysis of huge amounts of data collected during a forensic investigation. This book is ideally intended for forensics experts, forensic investigators, cyber forensic practitioners, researchers, academicians, and students interested in cyber forensics, computer science and engineering, information technology, and electronics and communication.
The skills and tools for collecting, verifying and correlating information from different types of systems is an essential skill when tracking down hackers. This book explores Open Source Intelligence Gathering (OSINT) inside out from multiple perspectives, including those of hackers and seasoned intelligence experts. OSINT refers to the techniques and tools required to harvest publicly available data concerning a person or an organization. With several years of experience of tracking hackers with OSINT, the author whips up a classical plot-line involving a hunt for a threat actor. While taking the audience through the thrilling investigative drama, the author immerses the audience with in-depth knowledge of state-of-the-art OSINT tools and techniques. Technical users will want a basic understanding of the Linux command line in order to follow the examples. But a person with no Linux or programming experience can still gain a lot from this book through the commentaries.
This book's unique digital investigation proposition is a combination of story-telling, tutorials, and case studies. The book explores digital investigation from multiple angles:
Through the eyes of the author who has several years of experience in the subject.
Through the mind of the hacker who collects massive amounts of data from multiple online sources to identify targets as well as ways to hit the targets.
Through the eyes of industry leaders.
This book is ideal for:
Investigation professionals, forensic analysts, and CISO/CIO and other executives wanting to understand the mindset of a hacker and how seemingly harmless information can be used to target their organization.
Security analysts, forensic investigators, and SOC teams looking for new approaches on digital investigations from the perspective of collecting and parsing publicly available information.
CISOs and defense teams will find this book useful because it takes the perspective of infiltrating an organization from the mindset of a hacker. The commentary provided by outside experts will also provide them with ideas to further protect their organization's data.
Автор: Neil Quarmby Название: Intelligence in Regulation ISBN: 176002192X ISBN-13(EAN): 9781760021924 Издательство: Taylor&Francis Рейтинг: Цена: 51040.00 T Наличие на складе: Невозможна поставка. Описание: Written from a practitioner’s perspective, Intelligence in Regulation fills a void in international literature on regulation. The wide and largely disparate world of regulators is late to the idea of professionalising decision-making despite this need being well understood and ingrained in national security and, to a lesser extent, law enforcement. The book draws largely from the experience of the author as a former intelligence officer, as a builder of intelligence and decision-systems across many sectors, and as a user of intelligence in leading regulatory operations. The narrative leads the reader through the barriers to effective regulatory decision-making, then to case studies of regulatory failure, and concludes with practical guidance on building and improving intelligence systems. Theoretical references are drawn from a number of sources and, in particular, the book acts as a companion piece to Managing Intelligence: The Art of Influence (Quarmby and Young, 2010) which contains the fundamentals of contemporary intelligence craft.
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