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Machine Learning And Anomaly Detection For Insider Threat Detection
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Book Synopsis Insider Attack and Cyber Security by : Salvatore J. Stolfo
Download or read book Insider Attack and Cyber Security written by Salvatore J. Stolfo and published by Springer Science & Business Media. This book was released on 2008-08-29 with total page 228 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book defines the nature and scope of insider problems as viewed by the financial industry. This edited volume is based on the first workshop on Insider Attack and Cyber Security, IACS 2007. The workshop was a joint effort from the Information Security Departments of Columbia University and Dartmouth College. The book sets an agenda for an ongoing research initiative to solve one of the most vexing problems encountered in security, and a range of topics from critical IT infrastructure to insider threats. In some ways, the insider problem is the ultimate security problem.
Book Synopsis Advances in Digital Forensics XVI by : Gilbert Peterson
Download or read book Advances in Digital Forensics XVI written by Gilbert Peterson and published by Springer. This book was released on 2021-09-07 with total page 308 pages. Available in PDF, EPUB and Kindle. Book excerpt: Digital forensics deals with the acquisition, preservation, examination, analysis and presentation of electronic evidence. Computer networks, cloud computing, smartphones, embedded devices and the Internet of Things 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 in legal proceedings. Digital forensics also has myriad intelligence applications; furthermore, it has a vital role in cyber security -- investigations of security breaches yield valuable information that can be used to design more secure and resilient systems. Advances in Digital Forensics XVI 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: themes and issues, forensic techniques, filesystem forensics, cloud forensics, social media forensics, multimedia forensics, and novel applications. This book is the sixteenth 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 sixteen edited papers from the Sixteenth Annual IFIP WG 11.9 International Conference on Digital Forensics, held in New Delhi, India, in the winter of 2020. Advances in Digital Forensics XVI 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.
Book Synopsis Recent Advances in Intrusion Detection by : Somesh Jha
Download or read book Recent Advances in Intrusion Detection written by Somesh Jha and published by Springer Science & Business Media. This book was released on 2010-09-02 with total page 528 pages. Available in PDF, EPUB and Kindle. Book excerpt: On behalf of the Program Committee, it is our pleasure to present the p- ceedings of the 13th International Symposium on Recent Advances in Intrusion Detection Systems (RAID 2010), which took place in Ottawa, Ontario, Canada, during September 15-17, 2010. As in the past, the symposium brought together leading researchers and practitioners from academia, government, and industry to discuss intrusion detection research and practice. There were eight technical sessionspresentingfullresearchpapersonnetworkprotection,highperformance, malwaredetectionanddefense(2 sessions),evaluation,forensics,anomalydet- tion and access protection, and Web security. Furthermore, there was a poster session presenting emerging research areas and case studies. The RAID 2010 Program Committee received 102 full-paper submissions from all over the world. All submissions were carefully reviewed by independent reviewers on the basis of technical quality, topic, space, and overallbalance. The ?naldecisiontookplaceataProgramCommitteemeetingheldduringMay19-20 inOakland,California,where24paperswereeventuallyselectedforpresentation at the conference and publication in the proceedings. As a continued feature, the symposium later also accepted 15 poster presentations reporting early-stage research,demonstrationof applications,orcasestudies. The authorsof accepted posters were also o?ered the opportunity to have an extended abstract of their work included in the proceedings.
Book Synopsis The CERT Guide to Insider Threats by : Dawn M. Cappelli
Download or read book The CERT Guide to Insider Threats written by Dawn M. Cappelli and published by Addison-Wesley. This book was released on 2012-01-20 with total page 431 pages. Available in PDF, EPUB and Kindle. Book excerpt: Since 2001, the CERT® Insider Threat Center at Carnegie Mellon University’s Software Engineering Institute (SEI) has collected and analyzed information about more than seven hundred insider cyber crimes, ranging from national security espionage to theft of trade secrets. The CERT® Guide to Insider Threats describes CERT’s findings in practical terms, offering specific guidance and countermeasures that can be immediately applied by executives, managers, security officers, and operational staff within any private, government, or military organization. The authors systematically address attacks by all types of malicious insiders, including current and former employees, contractors, business partners, outsourcers, and even cloud-computing vendors. They cover all major types of insider cyber crime: IT sabotage, intellectual property theft, and fraud. For each, they present a crime profile describing how the crime tends to evolve over time, as well as motivations, attack methods, organizational issues, and precursor warnings that could have helped the organization prevent the incident or detect it earlier. Beyond identifying crucial patterns of suspicious behavior, the authors present concrete defensive measures for protecting both systems and data. This book also conveys the big picture of the insider threat problem over time: the complex interactions and unintended consequences of existing policies, practices, technology, insider mindsets, and organizational culture. Most important, it offers actionable recommendations for the entire organization, from executive management and board members to IT, data owners, HR, and legal departments. With this book, you will find out how to Identify hidden signs of insider IT sabotage, theft of sensitive information, and fraud Recognize insider threats throughout the software development life cycle Use advanced threat controls to resist attacks by both technical and nontechnical insiders Increase the effectiveness of existing technical security tools by enhancing rules, configurations, and associated business processes Prepare for unusual insider attacks, including attacks linked to organized crime or the Internet underground By implementing this book’s security practices, you will be incorporating protection mechanisms designed to resist the vast majority of malicious insider attacks.
Book Synopsis Machine Learning for Cybersecurity Cookbook by : Emmanuel Tsukerman
Download or read book Machine Learning for Cybersecurity Cookbook written by Emmanuel Tsukerman and published by Packt Publishing Ltd. This book was released on 2019-11-25 with total page 338 pages. Available in PDF, EPUB and Kindle. Book excerpt: Learn how to apply modern AI to create powerful cybersecurity solutions for malware, pentesting, social engineering, data privacy, and intrusion detection Key FeaturesManage data of varying complexity to protect your system using the Python ecosystemApply ML to pentesting, malware, data privacy, intrusion detection system(IDS) and social engineeringAutomate your daily workflow by addressing various security challenges using the recipes covered in the bookBook Description Organizations today face a major threat in terms of cybersecurity, from malicious URLs to credential reuse, and having robust security systems can make all the difference. With this book, you'll learn how to use Python libraries such as TensorFlow and scikit-learn to implement the latest artificial intelligence (AI) techniques and handle challenges faced by cybersecurity researchers. You'll begin by exploring various machine learning (ML) techniques and tips for setting up a secure lab environment. Next, you'll implement key ML algorithms such as clustering, gradient boosting, random forest, and XGBoost. The book will guide you through constructing classifiers and features for malware, which you'll train and test on real samples. As you progress, you'll build self-learning, reliant systems to handle cybersecurity tasks such as identifying malicious URLs, spam email detection, intrusion detection, network protection, and tracking user and process behavior. Later, you'll apply generative adversarial networks (GANs) and autoencoders to advanced security tasks. Finally, you'll delve into secure and private AI to protect the privacy rights of consumers using your ML models. By the end of this book, you'll have the skills you need to tackle real-world problems faced in the cybersecurity domain using a recipe-based approach. What you will learnLearn how to build malware classifiers to detect suspicious activitiesApply ML to generate custom malware to pentest your securityUse ML algorithms with complex datasets to implement cybersecurity conceptsCreate neural networks to identify fake videos and imagesSecure your organization from one of the most popular threats – insider threatsDefend against zero-day threats by constructing an anomaly detection systemDetect web vulnerabilities effectively by combining Metasploit and MLUnderstand how to train a model without exposing the training dataWho this book is for This book is for cybersecurity professionals and security researchers who are looking to implement the latest machine learning techniques to boost computer security, and gain insights into securing an organization using red and blue team ML. This recipe-based book will also be useful for data scientists and machine learning developers who want to experiment with smart techniques in the cybersecurity domain. Working knowledge of Python programming and familiarity with cybersecurity fundamentals will help you get the most out of this book.
Book Synopsis Computational Science – ICCS 2018 by : Yong Shi
Download or read book Computational Science – ICCS 2018 written by Yong Shi and published by Springer. This book was released on 2018-06-11 with total page 761 pages. Available in PDF, EPUB and Kindle. Book excerpt: The three-volume set LNCS 10860, 10861 + 10862 constitutes the proceedings of the 18th International Conference on Computational Science, ICCS 2018, held in Wuxi, China, in June 2018. The total of 155 full and 66 short papers presented in this book set was carefully reviewed and selected from 404 submissions. The papers were organized in topical sections named: Part I: ICCS Main Track Part II: Track of Advances in High-Performance Computational Earth Sciences: Applications and Frameworks; Track of Agent-Based Simulations, Adaptive Algorithms and Solvers; Track of Applications of Matrix Methods in Artificial Intelligence and Machine Learning; Track of Architecture, Languages, Compilation and Hardware Support for Emerging ManYcore Systems; Track of Biomedical and Bioinformatics Challenges for Computer Science; Track of Computational Finance and Business Intelligence; Track of Computational Optimization, Modelling and Simulation; Track of Data, Modeling, and Computation in IoT and Smart Systems; Track of Data-Driven Computational Sciences; Track of Mathematical-Methods-and-Algorithms for Extreme Scale; Track of Multiscale Modelling and Simulation Part III: Track of Simulations of Flow and Transport: Modeling, Algorithms and Computation; Track of Solving Problems with Uncertainties; Track of Teaching Computational Science; Poster Papers
Book Synopsis Data Science and Security by : Dharm Singh Jat
Download or read book Data Science and Security written by Dharm Singh Jat and published by Springer Nature. This book was released on 2020-07-31 with total page 321 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book presents best selected papers presented at the International Conference on Data Science for Computational Security (IDSCS 2020), organized by the Department of Data Science, CHRIST (Deemed to be University), Pune Lavasa Campus, India, during 13–14 March 2020. The proceeding will be targeting the current research works in the areas of data science, data security, data analytics, artificial intelligence, machine learning, computer vision, algorithms design, computer networking, data mining, big data, text mining, knowledge representation, soft computing and cloud computing.
Book Synopsis Big Data Analytics with Applications in Insider Threat Detection by : Bhavani Thuraisingham
Download or read book Big Data Analytics with Applications in Insider Threat Detection written by Bhavani Thuraisingham and published by CRC Press. This book was released on 2017-11-22 with total page 685 pages. Available in PDF, EPUB and Kindle. Book excerpt: Today's malware mutates randomly to avoid detection, but reactively adaptive malware is more intelligent, learning and adapting to new computer defenses on the fly. Using the same algorithms that antivirus software uses to detect viruses, reactively adaptive malware deploys those algorithms to outwit antivirus defenses and to go undetected. This book provides details of the tools, the types of malware the tools will detect, implementation of the tools in a cloud computing framework and the applications for insider threat detection.
Book Synopsis Modern Mathematical Methods for Physicists and Engineers by : Cyrus D. Cantrell
Download or read book Modern Mathematical Methods for Physicists and Engineers written by Cyrus D. Cantrell and published by Cambridge University Press. This book was released on 2000-10-09 with total page 790 pages. Available in PDF, EPUB and Kindle. Book excerpt: A mathematical and computational education for students, researchers, and practising engineers.
Book Synopsis Insider Threats in Cyber Security by : Christian W. Probst
Download or read book Insider Threats in Cyber Security written by Christian W. Probst and published by Springer Science & Business Media. This book was released on 2010-07-28 with total page 248 pages. Available in PDF, EPUB and Kindle. Book excerpt: Insider Threats in Cyber Security is a cutting edge text presenting IT and non-IT facets of insider threats together. This volume brings together a critical mass of well-established worldwide researchers, and provides a unique multidisciplinary overview. Monica van Huystee, Senior Policy Advisor at MCI, Ontario, Canada comments "The book will be a must read, so of course I’ll need a copy." Insider Threats in Cyber Security covers all aspects of insider threats, from motivation to mitigation. It includes how to monitor insider threats (and what to monitor for), how to mitigate insider threats, and related topics and case studies. Insider Threats in Cyber Security is intended for a professional audience composed of the military, government policy makers and banking; financing companies focusing on the Secure Cyberspace industry. This book is also suitable for advanced-level students and researchers in computer science as a secondary text or reference book.
Book Synopsis Adversarial Machine Learning by : Anthony D. Joseph
Download or read book Adversarial Machine Learning written by Anthony D. Joseph and published by Cambridge University Press. This book was released on 2019-02-21 with total page 341 pages. Available in PDF, EPUB and Kindle. Book excerpt: This study allows readers to get to grips with the conceptual tools and practical techniques for building robust machine learning in the face of adversaries.
Book Synopsis Data Analytics and Decision Support for Cybersecurity by : Iván Palomares Carrascosa
Download or read book Data Analytics and Decision Support for Cybersecurity written by Iván Palomares Carrascosa and published by Springer. This book was released on 2017-08-01 with total page 278 pages. Available in PDF, EPUB and Kindle. Book excerpt: The book illustrates the inter-relationship between several data management, analytics and decision support techniques and methods commonly adopted in Cybersecurity-oriented frameworks. The recent advent of Big Data paradigms and the use of data science methods, has resulted in a higher demand for effective data-driven models that support decision-making at a strategic level. This motivates the need for defining novel data analytics and decision support approaches in a myriad of real-life scenarios and problems, with Cybersecurity-related domains being no exception. This contributed volume comprises nine chapters, written by leading international researchers, covering a compilation of recent advances in Cybersecurity-related applications of data analytics and decision support approaches. In addition to theoretical studies and overviews of existing relevant literature, this book comprises a selection of application-oriented research contributions. The investigations undertaken across these chapters focus on diverse and critical Cybersecurity problems, such as Intrusion Detection, Insider Threats, Insider Threats, Collusion Detection, Run-Time Malware Detection, Intrusion Detection, E-Learning, Online Examinations, Cybersecurity noisy data removal, Secure Smart Power Systems, Security Visualization and Monitoring. Researchers and professionals alike will find the chapters an essential read for further research on the topic.
Book Synopsis Clustering Methods for Big Data Analytics by : Olfa Nasraoui
Download or read book Clustering Methods for Big Data Analytics written by Olfa Nasraoui and published by Springer. This book was released on 2018-10-27 with total page 192 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book highlights the state of the art and recent advances in Big Data clustering methods and their innovative applications in contemporary AI-driven systems. The book chapters discuss Deep Learning for Clustering, Blockchain data clustering, Cybersecurity applications such as insider threat detection, scalable distributed clustering methods for massive volumes of data; clustering Big Data Streams such as streams generated by the confluence of Internet of Things, digital and mobile health, human-robot interaction, and social networks; Spark-based Big Data clustering using Particle Swarm Optimization; and Tensor-based clustering for Web graphs, sensor streams, and social networks. The chapters in the book include a balanced coverage of big data clustering theory, methods, tools, frameworks, applications, representation, visualization, and clustering validation.
Book Synopsis Security, Privacy, and Forensics Issues in Big Data by : Joshi, Ramesh C.
Download or read book Security, Privacy, and Forensics Issues in Big Data written by Joshi, Ramesh C. and published by IGI Global. This book was released on 2019-08-30 with total page 474 pages. Available in PDF, EPUB and Kindle. Book excerpt: With the proliferation of devices connected to the internet and connected to each other, the volume of data collected, stored, and processed is increasing every day, which brings new challenges in terms of information security. As big data expands with the help of public clouds, traditional security solutions tailored to private computing infrastructures and confined to a well-defined security perimeter, such as firewalls and demilitarized zones (DMZs), are no longer effective. New security functions are required to work over the heterogenous composition of diverse hardware, operating systems, and network domains. Security, Privacy, and Forensics Issues in Big Data is an essential research book that examines recent advancements in big data and the impact that these advancements have on information security and privacy measures needed for these networks. Highlighting a range of topics including cryptography, data analytics, and threat detection, this is an excellent reference source for students, software developers and engineers, security analysts, IT consultants, academicians, researchers, and professionals.
Book Synopsis An Introduction to Variational Autoencoders by : Diederik P. Kingma
Download or read book An Introduction to Variational Autoencoders written by Diederik P. Kingma and published by . This book was released on 2019-11-12 with total page 102 pages. Available in PDF, EPUB and Kindle. Book excerpt: An Introduction to Variational Autoencoders provides a quick summary for the of a topic that has become an important tool in modern-day deep learning techniques.
Book Synopsis Dynamic Networks And Cyber-security by : Niall M Adams
Download or read book Dynamic Networks And Cyber-security written by Niall M Adams and published by World Scientific. This book was released on 2016-03-22 with total page 222 pages. Available in PDF, EPUB and Kindle. Book excerpt: As an under-studied area of academic research, the analysis of computer network traffic data is still in its infancy. However, the challenge of detecting and mitigating malicious or unauthorised behaviour through the lens of such data is becoming an increasingly prominent issue.This collection of papers by leading researchers and practitioners synthesises cutting-edge work in the analysis of dynamic networks and statistical aspects of cyber security. The book is structured in such a way as to keep security application at the forefront of discussions. It offers readers easy access into the area of data analysis for complex cyber-security applications, with a particular focus on temporal and network aspects.Chapters can be read as standalone sections and provide rich reviews of the latest research within the field of cyber-security. Academic readers will benefit from state-of-the-art descriptions of new methodologies and their extension to real practical problems while industry professionals will appreciate access to more advanced methodology than ever before.
Book Synopsis 2021 2nd International Conference on Secure Cyber Computing and Communications (ICSCCC) by : IEEE Staff
Download or read book 2021 2nd International Conference on Secure Cyber Computing and Communications (ICSCCC) written by IEEE Staff and published by . This book was released on 2021-05-21 with total page pages. Available in PDF, EPUB and Kindle. Book excerpt: The area of computing and communication has grown evidently since past two decades with wide ranging aspects Computing includes designing, developing and building hardware and software systems processing, structuring, and managing various kinds of information doing scientific research on and with computers making computer systems behave intelligently and creating and using communications and entertainment media The field of computing includes computer engineering, software engineering, computer science, information systems, information technology and the list is virtually endless, and the possibilities are vast Communication means to share, it is the act of conveying intended meanings from one entity or group to another through the use of mutually understood signs and semiotic rules It also has wide ranging applied areas which includes Network communication, Security etc
