Artificial Intelligence Tools For Cyber Attribution PDF Download
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| Author | : Eric Nunes |
| Publisher | : Springer |
| Total Pages | : 97 |
| Release | : 2018-02-16 |
| Genre | : Computers |
| ISBN | : 3319737880 |
Download Artificial Intelligence Tools for Cyber Attribution Book in PDF, ePub and Kindle
This SpringerBrief discusses how to develop intelligent systems for cyber attribution regarding cyber-attacks. Specifically, the authors review the multiple facets of the cyber attribution problem that make it difficult for “out-of-the-box” artificial intelligence and machine learning techniques to handle. Attributing a cyber-operation through the use of multiple pieces of technical evidence (i.e., malware reverse-engineering and source tracking) and conventional intelligence sources (i.e., human or signals intelligence) is a difficult problem not only due to the effort required to obtain evidence, but the ease with which an adversary can plant false evidence. This SpringerBrief not only lays out the theoretical foundations for how to handle the unique aspects of cyber attribution – and how to update models used for this purpose – but it also describes a series of empirical results, as well as compares results of specially-designed frameworks for cyber attribution to standard machine learning approaches. Cyber attribution is not only a challenging problem, but there are also problems in performing such research, particularly in obtaining relevant data. This SpringerBrief describes how to use capture-the-flag for such research, and describes issues from organizing such data to running your own capture-the-flag specifically designed for cyber attribution. Datasets and software are also available on the companion website.
| Author | : National Academies of Sciences, Engineering, and Medicine |
| Publisher | : National Academies Press |
| Total Pages | : 99 |
| Release | : 2020-01-27 |
| Genre | : Computers |
| ISBN | : 0309494508 |
Download Implications of Artificial Intelligence for Cybersecurity Book in PDF, ePub and Kindle
In recent years, interest and progress in the area of artificial intelligence (AI) and machine learning (ML) have boomed, with new applications vigorously pursued across many sectors. At the same time, the computing and communications technologies on which we have come to rely present serious security concerns: cyberattacks have escalated in number, frequency, and impact, drawing increased attention to the vulnerabilities of cyber systems and the need to increase their security. In the face of this changing landscape, there is significant concern and interest among policymakers, security practitioners, technologists, researchers, and the public about the potential implications of AI and ML for cybersecurity. The National Academies of Sciences, Engineering, and Medicine convened a workshop on March 12-13, 2019 to discuss and explore these concerns. This publication summarizes the presentations and discussions from the workshop.
| Author | : Andrei Kucharavy |
| Publisher | : Springer Nature |
| Total Pages | : 249 |
| Release | : 2024 |
| Genre | : Computer security |
| ISBN | : 3031548272 |
Download Large Language Models in Cybersecurity Book in PDF, ePub and Kindle
This open access book provides cybersecurity practitioners with the knowledge needed to understand the risks of the increased availability of powerful large language models (LLMs) and how they can be mitigated. It attempts to outrun the malicious attackers by anticipating what they could do. It also alerts LLM developers to understand their work's risks for cybersecurity and provides them with tools to mitigate those risks. The book starts in Part I with a general introduction to LLMs and their main application areas. Part II collects a description of the most salient threats LLMs represent in cybersecurity, be they as tools for cybercriminals or as novel attack surfaces if integrated into existing software. Part III focuses on attempting to forecast the exposure and the development of technologies and science underpinning LLMs, as well as macro levers available to regulators to further cybersecurity in the age of LLMs. Eventually, in Part IV, mitigation techniques that should allowsafe and secure development and deployment of LLMs are presented. The book concludes with two final chapters in Part V, one speculating what a secure design and integration of LLMs from first principles would look like and the other presenting a summary of the duality of LLMs in cyber-security. This book represents the second in a series published by the Technology Monitoring (TM) team of the Cyber-Defence Campus. The first book entitled "Trends in Data Protection and Encryption Technologies" appeared in 2023. This book series provides technology and trend anticipation for government, industry, and academic decision-makers as well as technical experts.
| Author | : Mark Stamp |
| Publisher | : Springer Nature |
| Total Pages | : 651 |
| Release | : 2020-12-20 |
| Genre | : Computers |
| ISBN | : 3030625826 |
Download Malware Analysis Using Artificial Intelligence and Deep Learning Book in PDF, ePub and Kindle
This book is focused on the use of deep learning (DL) and artificial intelligence (AI) as tools to advance the fields of malware detection and analysis. The individual chapters of the book deal with a wide variety of state-of-the-art AI and DL techniques, which are applied to a number of challenging malware-related problems. DL and AI based approaches to malware detection and analysis are largely data driven and hence minimal expert domain knowledge of malware is needed. This book fills a gap between the emerging fields of DL/AI and malware analysis. It covers a broad range of modern and practical DL and AI techniques, including frameworks and development tools enabling the audience to innovate with cutting-edge research advancements in a multitude of malware (and closely related) use cases.
| Author | : Sanjay Misra |
| Publisher | : Springer Nature |
| Total Pages | : 467 |
| Release | : 2021-05-31 |
| Genre | : Technology & Engineering |
| ISBN | : 3030722368 |
Download Artificial Intelligence for Cyber Security: Methods, Issues and Possible Horizons or Opportunities Book in PDF, ePub and Kindle
This book provides stepwise discussion, exhaustive literature review, detailed analysis and discussion, rigorous experimentation results (using several analytics tools), and an application-oriented approach that can be demonstrated with respect to data analytics using artificial intelligence to make systems stronger (i.e., impossible to breach). We can see many serious cyber breaches on Government databases or public profiles at online social networking in the recent decade. Today artificial intelligence or machine learning is redefining every aspect of cyber security. From improving organizations’ ability to anticipate and thwart breaches, protecting the proliferating number of threat surfaces with Zero Trust Security frameworks to making passwords obsolete, AI and machine learning are essential to securing the perimeters of any business. The book is useful for researchers, academics, industry players, data engineers, data scientists, governmental organizations, and non-governmental organizations.
| Author | : Lewis, Eugene J. |
| Publisher | : IGI Global |
| Total Pages | : 497 |
| Release | : 2024-02-07 |
| Genre | : Computers |
| ISBN | : |
Download Evolution of Cross-Sector Cyber Intelligent Markets Book in PDF, ePub and Kindle
In today's digital age, cyber threats have become an ever-increasing risk to businesses, governments, and individuals worldwide. The deep integration of technology into every facet of modern life has given rise to a complex and interconnected web of vulnerabilities. As a result, traditional, sector-specific approaches to cybersecurity have proven insufficient in the face of these sophisticated and relentless adversaries. The need for a transformative solution that transcends organizational silos and fosters cross-sector collaboration, information sharing, and intelligence-driven defense strategies is now more critical than ever. Evolution of Cross-Sector Cyber Intelligent Markets explores the changes occurring within the field of intelligent markets, noting a significant paradigm shift that redefines cybersecurity. Through engaging narratives, real-world examples, and in-depth analysis, the book illuminates the key principles and objectives driving this evolution, shedding light on innovative solutions and collaborative efforts aimed at securing our digital future.
| Author | : Joshua Saxe |
| Publisher | : No Starch Press |
| Total Pages | : 274 |
| Release | : 2018-09-25 |
| Genre | : Computers |
| ISBN | : 1593278594 |
Download Malware Data Science Book in PDF, ePub and Kindle
Malware Data Science explains how to identify, analyze, and classify large-scale malware using machine learning and data visualization. Security has become a "big data" problem. The growth rate of malware has accelerated to tens of millions of new files per year while our networks generate an ever-larger flood of security-relevant data each day. In order to defend against these advanced attacks, you'll need to know how to think like a data scientist. In Malware Data Science, security data scientist Joshua Saxe introduces machine learning, statistics, social network analysis, and data visualization, and shows you how to apply these methods to malware detection and analysis. You'll learn how to: - Analyze malware using static analysis - Observe malware behavior using dynamic analysis - Identify adversary groups through shared code analysis - Catch 0-day vulnerabilities by building your own machine learning detector - Measure malware detector accuracy - Identify malware campaigns, trends, and relationships through data visualization Whether you're a malware analyst looking to add skills to your existing arsenal, or a data scientist interested in attack detection and threat intelligence, Malware Data Science will help you stay ahead of the curve.
| Author | : George Lucas |
| Publisher | : Taylor & Francis |
| Total Pages | : 187 |
| Release | : 2022-12-16 |
| Genre | : Philosophy |
| ISBN | : 1000806197 |
Download Law, Ethics and Emerging Military Technologies Book in PDF, ePub and Kindle
This book addresses issues of legal and moral governance arising in the development, deployment, and eventual uses of emerging technologies in military operations. Proverbial wisdom has it that law and morality always lag behind technological innovation. Hence, the book aims to identify, enumerate, and constructively address the problems of adequate governance for the development, deployment, and eventual uses of military technologies that have been newly introduced into military operations or which will be available in the near future. Proposals for modifications in governance, the book argues, closely track the anxieties of many critics of these technologies to the extent that they will proliferate, prove destructive in unanticipated ways, and partially or wholly escape regulation under current treaties and regulatory regimes. In addition to such concerns in domestic and especially in international law, the book addresses ethical norms in the professions involved in the design and eventual use of specific technologies, principally involving the professional norms of practice in engineering and the military (as well as biomedical and health care practice), which impose moral obligations on their members to avoid reckless endangerment or criminal negligence in the course of their activities. Thus, in addition to exploring the application of existing legal regimes and moral norms, the book examines how these professions might develop or improve the voluntary constraints on forms of malfeasance that are enshrined in their histories and codes of best practices. This book should prove of great interest to students of ethics, military studies, philosophy of war and peace, law, and international relations.
| Author | : Mark M. Lowenthal |
| Publisher | : John Wiley & Sons |
| Total Pages | : 160 |
| Release | : 2017-08-31 |
| Genre | : Political Science |
| ISBN | : 1509520325 |
Download The Future of Intelligence Book in PDF, ePub and Kindle
Intelligence is, by definition, a shadowy business. Yet many aspects of this secret world are now more openly analyzed and discussed, a trend which has inevitably prompted lively debate about intelligence gathering and analysis: what should be allowed? What boundaries, if any, should be drawn? And what changes and challenges lie ahead for intelligence activities and agencies? In this compelling book, leading intelligence scholar Mark Lowenthal explores the future of intelligence. There are, he argues, three broad areas – information technology and intelligence collection; analysis; and governance – that indicate the potential for rather dramatic change in the world of intelligence. But whether these important vectors for change will improve how intelligence works or make it more difficult remains to be seen. The only certainty is that intelligence will remain an essential feature of statecraft in our increasingly dangerous world. Drawing on the author's forty years' experience in U.S. intelligence, The Future of Intelligence offers a broad and authoritative starting point for the ongoing debate about what intelligence could be and how it may function in the years ahead.
| Author | : Cruz-Cunha, Maria Manuela |
| Publisher | : IGI Global |
| Total Pages | : 638 |
| Release | : 2014-07-31 |
| Genre | : Computers |
| ISBN | : 1466663251 |
Download Handbook of Research on Digital Crime, Cyberspace Security, and Information Assurance Book in PDF, ePub and Kindle
In our hyper-connected digital world, cybercrime prevails as a major threat to online security and safety. New developments in digital forensics tools and an understanding of current criminal activities can greatly assist in minimizing attacks on individuals, organizations, and society as a whole. The Handbook of Research on Digital Crime, Cyberspace Security, and Information Assurance combines the most recent developments in data protection and information communication technology (ICT) law with research surrounding current criminal behaviors in the digital sphere. Bridging research and practical application, this comprehensive reference source is ideally designed for use by investigators, computer forensics practitioners, and experts in ICT law, as well as academicians in the fields of information security and criminal science.
