Machine Learning for Authorship Attribution and Cyber Forensics

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Author :
Publisher : Springer Nature
ISBN 13 : 3030616754
Total Pages : 158 pages
Book Rating : 4.55/5 ( download)

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Book Synopsis Machine Learning for Authorship Attribution and Cyber Forensics by : Farkhund Iqbal

Download or read book Machine Learning for Authorship Attribution and Cyber Forensics written by Farkhund Iqbal and published by Springer Nature. This book was released on 2020-12-04 with total page 158 pages. Available in PDF, EPUB and Kindle. Book excerpt: The book first explores the cybersecurity’s landscape and the inherent susceptibility of online communication system such as e-mail, chat conversation and social media in cybercrimes. Common sources and resources of digital crimes, their causes and effects together with the emerging threats for society are illustrated in this book. This book not only explores the growing needs of cybersecurity and digital forensics but also investigates relevant technologies and methods to meet the said needs. Knowledge discovery, machine learning and data analytics are explored for collecting cyber-intelligence and forensics evidence on cybercrimes. Online communication documents, which are the main source of cybercrimes are investigated from two perspectives: the crime and the criminal. AI and machine learning methods are applied to detect illegal and criminal activities such as bot distribution, drug trafficking and child pornography. Authorship analysis is applied to identify the potential suspects and their social linguistics characteristics. Deep learning together with frequent pattern mining and link mining techniques are applied to trace the potential collaborators of the identified criminals. Finally, the aim of the book is not only to investigate the crimes and identify the potential suspects but, as well, to collect solid and precise forensics evidence to prosecute the suspects in the court of law.

Intelligence and Security Informatics

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Author :
Publisher : Lecture Notes in Computer Science
ISBN 13 :
Total Pages : 418 pages
Book Rating : 4.19/5 ( download)

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Book Synopsis Intelligence and Security Informatics by : Hsinchun Chen

Download or read book Intelligence and Security Informatics written by Hsinchun Chen and published by Lecture Notes in Computer Science. This book was released on 2003-05-20 with total page 418 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book constitutes the refereed proceedings of the First NSF/NIJ Symposium on Intelligence and Security Informatics, ISI 2003, held in Tucson, AZ, USA in June 2003. The 24 revised full papers and 16 revised short papers presented were carefully reviewed and selected for inclusion in the book. The papers are organized in topical sections on data management and data mining, deception detection, analytical techniques, for crime detection, visualization, knowledge management and adoption, collaborative systems and methodologies, and monitoring and surveillance.

Authorship Attribution

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Author :
Publisher : Now Publishers Inc
ISBN 13 : 160198118X
Total Pages : 116 pages
Book Rating : 4.89/5 ( download)

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Book Synopsis Authorship Attribution by : Patrick Juola

Download or read book Authorship Attribution written by Patrick Juola and published by Now Publishers Inc. This book was released on 2008 with total page 116 pages. Available in PDF, EPUB and Kindle. Book excerpt: Authorship Attribution surveys the history and present state of the discipline, presenting some comparative results where available. It also provides a theoretical and empirically-tested basis for further work. Many modern techniques are described and evaluated, along with some insights for application for novices and experts alike.

Confluence of AI, Machine, and Deep Learning in Cyber Forensics

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Publisher : IGI Global
ISBN 13 : 1799849015
Total Pages : 248 pages
Book Rating : 4.18/5 ( download)

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Book Synopsis Confluence of AI, Machine, and Deep Learning in Cyber Forensics by : Misra, Sanjay

Download or read book Confluence of AI, Machine, and Deep Learning in Cyber Forensics written by Misra, Sanjay and published by IGI Global. This book was released on 2020-12-18 with total page 248 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.

Social Network Analytics for Contemporary Business Organizations

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Publisher : IGI Global
ISBN 13 : 1522550984
Total Pages : 321 pages
Book Rating : 4.83/5 ( download)

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Book Synopsis Social Network Analytics for Contemporary Business Organizations by : Bansal, Himani

Download or read book Social Network Analytics for Contemporary Business Organizations written by Bansal, Himani and published by IGI Global. This book was released on 2018-03-23 with total page 321 pages. Available in PDF, EPUB and Kindle. Book excerpt: Social technology is quickly becoming a vital tool in our personal, educational, and professional lives. Its use must be further examined in order to determine the role of social media technology in organizational settings to promote business development and growth. Social Network Analytics for Contemporary Business Organizations is a critical scholarly resource that analyzes the application of social media in business applications. Featuring coverage on a broad range of topics, such as business management, dynamic networks, and online interaction, this book is geared towards professionals, researchers, academics, students, managers, and practitioners actively involved in the business industry.

Security and Artificial Intelligence

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Publisher : Springer Nature
ISBN 13 : 3030987957
Total Pages : 365 pages
Book Rating : 4.54/5 ( download)

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Book Synopsis Security and Artificial Intelligence by : Lejla Batina

Download or read book Security and Artificial Intelligence written by Lejla Batina and published by Springer Nature. This book was released on 2022-04-07 with total page 365 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.

Artificial Intelligence Tools for Cyber Attribution

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Author :
Publisher : Springer
ISBN 13 : 3319737880
Total Pages : 91 pages
Book Rating : 4.81/5 ( download)

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Book Synopsis Artificial Intelligence Tools for Cyber Attribution by : Eric Nunes

Download or read book Artificial Intelligence Tools for Cyber Attribution written by Eric Nunes and published by Springer. This book was released on 2018-02-16 with total page 91 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.

Advances in Digital Forensics X

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Publisher : Springer
ISBN 13 : 3662449528
Total Pages : 336 pages
Book Rating : 4.23/5 ( download)

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Book Synopsis Advances in Digital Forensics X by : Gilbert Peterson

Download or read book Advances in Digital Forensics X written by Gilbert Peterson and published by Springer. This book was released on 2014-10-09 with total page 336 pages. Available in PDF, EPUB and Kindle. Book excerpt: Digital forensics deals with the acquisition, preservation, examination, analysis and presentation of electronic evidence. Networked computing, wireless communications and portable electronic devices have expanded the role of digital forensics beyond traditional computer crime investigations. Practically every crime now involves some aspect of digital evidence; digital forensics provides the techniques and tools to articulate this evidence. Digital forensics also has myriad intelligence applications. Furthermore, it has a vital role in information assurance -- investigations of security breaches yield valuable information that can be used to design more secure systems. Advances in Digital Forensics X describes original research results and innovative applications in the discipline of digital forensics. In addition, it highlights some of the major technical and legal issues related to digital evidence and electronic crime investigations. The areas of coverage include: - Internet Crime Investigations; - Forensic Techniques; - Mobile Device Forensics; - Forensic Tools and Training. This book is the 10th volume in the annual series produced by the International Federation for Information Processing (IFIP) Working Group 11.9 on Digital Forensics, an international community of scientists, engineers and practitioners dedicated to advancing the state of the art of research and practice in digital forensics. The book contains a selection of twenty-two edited papers from the 10th Annual IFIP WG 11.9 International Conference on Digital Forensics, held in Vienna, Austria in the winter of 2014. Advances in Digital Forensics X is an important resource for researchers, faculty members and graduate students, as well as for practitioners and individuals engaged in research and development efforts for the law enforcement and intelligence communities.

Advances in Digital Forensics IX

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Publisher : Springer
ISBN 13 : 3642411487
Total Pages : 398 pages
Book Rating : 4.89/5 ( download)

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Book Synopsis Advances in Digital Forensics IX by : Gilbert Peterson

Download or read book Advances in Digital Forensics IX written by Gilbert Peterson and published by Springer. This book was released on 2013-10-09 with total page 398 pages. Available in PDF, EPUB and Kindle. Book excerpt: Digital forensics deals with the acquisition, preservation, examination, analysis and presentation of electronic evidence. Networked computing, wireless communications and portable electronic devices have expanded the role of digital forensics beyond traditional computer crime investigations. Practically every crime now involves some aspect of digital evidence; digital forensics provides the techniques and tools to articulate this evidence. Digital forensics also has myriad intelligence applications. Furthermore, it has a vital role in information assurance - investigations of security breaches yield valuable information that can be used to design more secure systems. Advances in Digital Forensics IX describe original research results and innovative applications in the discipline of digital forensics. In addition, it highlights some of the major technical and legal issues related to digital evidence and electronic crime investigations. The areas of coverage include: Themes and Issues, Forensic Models, Forensic Techniques, File system Forensics, Network Forensics, Cloud Forensics, Forensic Tools, and Advanced Forensic Techniques. This book is the ninth volume in the annual series produced by the International Federation for Information Processing (IFIP) Working Group 11.9 on Digital Forensics, an international community of scientists, engineers and practitioners dedicated to advancing the state of the art of research and practice in digital forensics. The book contains a selection of twenty-five edited papers from the Ninth Annual IFIP WG 11.9 International Conference on Digital Forensics, held in Orlando, Florida, USA in the winter of 2013. Advances in Digital Forensics IX is an important resource for researchers, faculty members and graduate students, as well as for practitioners and individuals engaged in research and development efforts for the law enforcement and intelligence communities. Gilbert Peterson is an Associate Professor of Computer Engineering at the Air Force Institute of Technology, Wright-Patterson Air Force Base, Ohio, USA. Sujeet Shenoi is the F.P. Walter Professor of Computer Science and a Professor of Chemical Engineering at the University of Tulsa, Tulsa, Oklahoma, USA.

Applied Soft Computing

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Author :
Publisher : CRC Press
ISBN 13 : 1000406636
Total Pages : 286 pages
Book Rating : 4.34/5 ( download)

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Book Synopsis Applied Soft Computing by : Samarjeet Borah

Download or read book Applied Soft Computing written by Samarjeet Borah and published by CRC Press. This book was released on 2022-02-03 with total page 286 pages. Available in PDF, EPUB and Kindle. Book excerpt: This new volume explores a variety of modern techniques that deal with estimated models and give resolutions to complex real-life issues. Soft computing has played a crucial role not only with theoretical paradigms but is also popular for its pivotal role for designing a large variety of expert systems and artificial intelligence-based applications. Involving the concepts and practices of soft computing in conjunction with other frontier research domains, this book begins with the basics and goes on to explore a variety of modern applications of soft computing in areas such as approximate reasoning, artificial neural networks, Bayesian networks, big data analytics, bioinformatics, cloud computing, control systems, data mining, functional approximation, fuzzy logic, genetic and evolutionary algorithms, hybrid models, machine learning, metaheuristics, neuro fuzzy system, optimization, randomized searches, and swarm intelligence. This book will be helpful to a wide range of readers who wish to learn applications of soft computing approaches. It will be useful for academicians, researchers, students, and machine learning experts who use soft computing techniques and algorithms to develop cutting-edge artificial intelligence-based applications.