Download or read book Adversary Aware Learning Techniques and Trends in Cybersecurity written by Prithviraj Dasgupta and published by Springer Nature. This book was released on 2021-01-22 with total page 229 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book is intended to give researchers and practitioners in the cross-cutting fields of artificial intelligence, machine learning (AI/ML) and cyber security up-to-date and in-depth knowledge of recent techniques for improving the vulnerabilities of AI/ML systems against attacks from malicious adversaries. The ten chapters in this book, written by eminent researchers in AI/ML and cyber-security, span diverse, yet inter-related topics including game playing AI and game theory as defenses against attacks on AI/ML systems, methods for effectively addressing vulnerabilities of AI/ML operating in large, distributed environments like Internet of Things (IoT) with diverse data modalities, and, techniques to enable AI/ML systems to intelligently interact with humans that could be malicious adversaries and/or benign teammates. Readers of this book will be equipped with definitive information on recent developments suitable for countering adversarial threats in AI/ML systems towards making them operate in a safe, reliable and seamless manner.

Download or read book Adversarial Machine Learning written by Aneesh Sreevallabh Chivukula and published by Springer Nature. This book was released on 2023-03-06 with total page 316 pages. Available in PDF, EPUB and Kindle. Book excerpt: A critical challenge in deep learning is the vulnerability of deep learning networks to security attacks from intelligent cyber adversaries. Even innocuous perturbations to the training data can be used to manipulate the behaviour of deep networks in unintended ways. In this book, we review the latest developments in adversarial attack technologies in computer vision; natural language processing; and cybersecurity with regard to multidimensional, textual and image data, sequence data, and temporal data. In turn, we assess the robustness properties of deep learning networks to produce a taxonomy of adversarial examples that characterises the security of learning systems using game theoretical adversarial deep learning algorithms. The state-of-the-art in adversarial perturbation-based privacy protection mechanisms is also reviewed. We propose new adversary types for game theoretical objectives in non-stationary computational learning environments. Proper quantification of the hypothesis set in the decision problems of our research leads to various functional problems, oracular problems, sampling tasks, and optimization problems. We also address the defence mechanisms currently available for deep learning models deployed in real-world environments. The learning theories used in these defence mechanisms concern data representations, feature manipulations, misclassifications costs, sensitivity landscapes, distributional robustness, and complexity classes of the adversarial deep learning algorithms and their applications. In closing, we propose future research directions in adversarial deep learning applications for resilient learning system design and review formalized learning assumptions concerning the attack surfaces and robustness characteristics of artificial intelligence applications so as to deconstruct the contemporary adversarial deep learning designs. Given its scope, the book will be of interest to Adversarial Machine Learning practitioners and Adversarial Artificial Intelligence researchers whose work involves the design and application of Adversarial Deep Learning.

Download or read book Computer Safety Reliability and Security SAFECOMP 2023 Workshops written by Jérémie Guiochet and published by Springer Nature. This book was released on 2023-10-15 with total page 448 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book constitutes the proceedings of the Workshops held in conjunction with SAFECOMP 2023, held in Toulouse, France, during September 19, 2023. The 35 full papers included in this volume were carefully reviewed and selected from 49 submissions. - - 8th International Workshop on Assurance Cases for Software-intensive Systems (ASSURE 2023) - - 18th International Workshop on Dependable Smart Embedded and Cyber-Physical Systems and Systems-of-Systems (DECSoS 2023) - - 10th International Workshop on Next Generation of System Assurance Approaches for Critical Systems (SASSUR 2023) - - Second International Workshop on Security and Safety Interactions (SENSEI 2023) - - First International Workshop on Safety/ Reliability/ Trustworthiness of Intelligent Transportation Systems (SRToITS 2023) - - 6th International Workshop on Artificial Intelligence Safety Engineering (WAISE 2023)

Download or read book Augmented Cognition written by Dylan D. Schmorrow and published by Springer Nature. This book was released on 2021-07-03 with total page 486 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book constitutes the refereed proceedings of the 15th International Conference on Augmented Cognition, AC 2021, held as part of the 23rd International Conference, HCI International 2021, held as a virtual event, in July 2021. The total of 1276 papers and 241 posters included in the 39 HCII 2021 proceedings volumes was carefully reviewed and selected from 5222 submissions. AC 2021 includes a total of 32 papers; they were organized in topical sections named: BCI and brain activity measurement physiological measuring and human performance; modelling human cognition; and augmented cognition in complex environments.​

Download or read book Network Security Empowered by Artificial Intelligence written by Yingying Chen and published by Springer Nature. This book was released on with total page 443 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Download or read book Adversarial and Uncertain Reasoning for Adaptive Cyber Defense written by Sushil Jajodia and published by Springer Nature. This book was released on 2019-08-30 with total page 270 pages. Available in PDF, EPUB and Kindle. Book excerpt: Today’s cyber defenses are largely static allowing adversaries to pre-plan their attacks. In response to this situation, researchers have started to investigate various methods that make networked information systems less homogeneous and less predictable by engineering systems that have homogeneous functionalities but randomized manifestations. The 10 papers included in this State-of-the Art Survey present recent advances made by a large team of researchers working on the same US Department of Defense Multidisciplinary University Research Initiative (MURI) project during 2013-2019. This project has developed a new class of technologies called Adaptive Cyber Defense (ACD) by building on two active but heretofore separate research areas: Adaptation Techniques (AT) and Adversarial Reasoning (AR). AT methods introduce diversity and uncertainty into networks, applications, and hosts. AR combines machine learning, behavioral science, operations research, control theory, and game theory to address the goal of computing effective strategies in dynamic, adversarial environments.

Download or read book Context Awareness for Adversarial and Defensive Machine Learning Methods in Cybersecurity written by Kyle Quintal and published by . This book was released on 2020 with total page pages. Available in PDF, EPUB and Kindle. Book excerpt: Machine Learning has shown great promise when combined with large volumes of historical data and produces great results when combined with contextual properties. In the world of the Internet of Things, the extraction of information regarding context, or contextual information, is increasingly prominent with scientific advances. Combining such advancements with artificial intelligence is one of the themes in this thesis. Particularly, there are two major areas of interest: context-aware attacker modelling and context-aware defensive methods. Both areas use authentication methods to either infiltrate or protect digital systems. After a brief introduction in chapter 1, chapter 2 discusses the current extracted contextual information within cybersecurity studies, and how machine learning accomplishes a variety of cybersecurity goals. Chapter 3 introduces an attacker injection model, championing the adversarial methods. Then, chapter 4 extracts contextual data and provides an intelligent machine learning technique to mitigate anomalous behaviours. Chapter 5 explores the feasibility of adopting a similar defensive methodology in the cyber-physical domain, and future directions are presented in chapter 6. Particularly, we begin this thesis by explaining the need for further improvements in cybersecurity using contextual information and discuss its feasibility, now that ubiquitous sensors exist in our everyday lives. These sensors often show a high correlation with user identity in surprising combinations. Our first contribution lay within the domain of Mobile CrowdSensing (MCS). Despite its benefits, MCS requires proper security solutions to prevent various attacks, notably injection attacks. Our smart-injection model, SINAM, monitors data traffic in an online-learning manner, simulating an injection model with undetection rates of 99%. SINAM leverages contextual similarities within a given sensing campaign to mimic anomalous injections. On the flip-side, we investigate how contextual features can be utilized to improve authentication methods in an enterprise context. Also motivated by the emergence of omnipresent mobile devices, we expand the Spatio-temporal features of unfolding contexts by introducing three contextual metrics: document shareability, document valuation, and user cooperation. These metrics are vetted against modern machine learning techniques and achieved an average of 87% successful authentication attempts. Our third contribution aims to further improve such results but introducing a Smart Enterprise Access Control (SEAC) technique. Combining the new contextual metrics with SEAC achieved an authenticity precision of 99% and a recall of 97%. Finally, the last contribution is an introductory study on risk analysis and mitigation using context. Here, cyber-physical coupling metrics are created to extract a precise representation of unfolding contexts in the medical field. The presented consensus algorithm achieves initial system conveniences and security ratings of 88% and 97% with these news metrics. Even as a feasibility study, physical context extraction shows good promise in improving cybersecurity decisions. In short, machine learning is a powerful tool when coupled with contextual data and is applicable across many industries. Our contributions show how the engineering of contextual features, adversarial and defensive methods can produce applicable solutions in cybersecurity, despite minor shortcomings.

Download or read book Intelligent Approaches to Cyber Security written by Narendra M Shekokar and published by CRC Press. This book was released on 2023-10-11 with total page 196 pages. Available in PDF, EPUB and Kindle. Book excerpt: Intelligent Approach to Cyber Security provides details on the important cyber security threats and its mitigation and the influence of Machine Learning, Deep Learning and Blockchain technologies in the realm of cyber security. Features: Role of Deep Learning and Machine Learning in the Field of Cyber Security Using ML to defend against cyber-attacks Using DL to defend against cyber-attacks Using blockchain to defend against cyber-attacks This reference text will be useful for students and researchers interested and working in future cyber security issues in the light of emerging technology in the cyber world.

Download or read book Advanced Network Security Techniques written by Cybellium and published by Cybellium . This book was released on with total page 227 pages. Available in PDF, EPUB and Kindle. Book excerpt: Welcome to the forefront of knowledge with Cybellium, your trusted partner in mastering the cutting-edge fields of IT, Artificial Intelligence, Cyber Security, Business, Economics and Science. Designed for professionals, students, and enthusiasts alike, our comprehensive books empower you to stay ahead in a rapidly evolving digital world. * Expert Insights: Our books provide deep, actionable insights that bridge the gap between theory and practical application. * Up-to-Date Content: Stay current with the latest advancements, trends, and best practices in IT, Al, Cybersecurity, Business, Economics and Science. Each guide is regularly updated to reflect the newest developments and challenges. * Comprehensive Coverage: Whether you're a beginner or an advanced learner, Cybellium books cover a wide range of topics, from foundational principles to specialized knowledge, tailored to your level of expertise. Become part of a global network of learners and professionals who trust Cybellium to guide their educational journey. www.cybellium.com

Download or read book Cyber Security and Adversarial Machine Learning written by Ferhat Ozgur Catak and published by . This book was released on 2021-10-30 with total page 300 pages. Available in PDF, EPUB and Kindle. Book excerpt: Focuses on learning vulnerabilities and cyber security. The book gives detail on the new threats and mitigation methods in the cyber security domain, and provides information on the new threats in new technologies such as vulnerabilities in deep learning, data privacy problems with GDPR, and new solutions.

Download or read book Practical Cyber Threat Intelligence written by Dr. Erdal Ozkaya and published by BPB Publications. This book was released on 2022-05-27 with total page 525 pages. Available in PDF, EPUB and Kindle. Book excerpt: Knowing your threat actors together with your weaknesses and the technology will master your defense KEY FEATURES ● Gain practical experience with cyber threat intelligence by using the book's lab sections. ● Improve your CTI skills by designing a threat intelligence system. ● Assisting you in bridging the gap between cybersecurity teams. ● Developing your knowledge of Cyber Intelligence tools and how to choose them. DESCRIPTION When your business assets are threatened or exposed to cyber risk, you want a high-quality threat hunting team armed with cutting-edge threat intelligence to build the shield. Unfortunately, regardless of how effective your cyber defense solutions are, if you are unfamiliar with the tools, strategies, and procedures used by threat actors, you will be unable to stop them. This book is intended to provide you with the practical exposure necessary to improve your cyber threat intelligence and hands-on experience with numerous CTI technologies. This book will teach you how to model threats by gathering adversarial data from various sources, pivoting on the adversarial data you have collected, developing the knowledge necessary to analyse them and discriminating between bad and good information. The book develops and hones the analytical abilities necessary for extracting, comprehending, and analyzing threats comprehensively. The readers will understand the most common indicators of vulnerability that security professionals can use to determine hacking attacks or threats in their systems quickly. In addition, the reader will investigate and illustrate ways to forecast the scope of attacks and assess the potential harm they can cause. WHAT YOU WILL LEARN ● Hands-on experience in developing a powerful and robust threat intelligence model. ● Acquire the ability to gather, exploit, and leverage adversary data. ● Recognize the difference between bad intelligence and good intelligence. ● Creating heatmaps and various visualization reports for better insights. ● Investigate the most typical indicators of security compromise. ● Strengthen your analytical skills to understand complicated threat scenarios better. WHO THIS BOOK IS FOR The book is designed for aspiring Cyber Threat Analysts, Security Analysts, Cybersecurity specialists, Security Consultants, and Network Security Professionals who wish to acquire and hone their analytical abilities to identify and counter threats quickly. TABLE OF CONTENTS 1. Basics of Threat Analysis and Modeling 2. Formulate a Threat Intelligence Model 3. Adversary Data Collection Sources & Methods 4. Pivot Off and Extracting Adversarial Data 5. Primary Indicators of Security Compromise 6. Identify & Build Indicators of Compromise 7. Conduct Threat Assessments In Depth 8. Produce Heat Maps, Infographics & Dashboards 9. Build Reliable & Robust Threat Intelligence System 10. Learn Statistical Approaches for Threat Intelligence 11. Develop Analytical Skills for Complex Threats 12. Planning for Disaster

Download or read book Theory and Models for Cyber Situation Awareness written by Peng Liu and published by Springer. This book was released on 2017-07-05 with total page 228 pages. Available in PDF, EPUB and Kindle. Book excerpt: Today, when a security incident happens, the top three questions a cyber operation center would ask are: What has happened? Why did it happen? What should I do? Answers to the first two questions form the core of Cyber Situation Awareness (SA). Whether the last question can be satisfactorily addressed is largely dependent upon the cyber situation awareness capability of an enterprise. The goal of this book is to present a summary of recent research advances in the development of highly desirable Cyber Situation Awareness capabilities. The 8 invited full papers presented in this volume are organized around the following topics: computer-aided human centric cyber situation awareness; computer and information science aspects of the recent advances in cyber situation awareness; learning and decision making aspects of the recent advances in cyber situation awareness; cognitive science aspects of the recent advances in cyber situation awareness

Download or read book Cybersecurity Strategies and Best Practices written by Milad Aslaner and published by Packt Publishing Ltd. This book was released on 2024-05-24 with total page 252 pages. Available in PDF, EPUB and Kindle. Book excerpt: Elevate your organization's cybersecurity posture by implementing proven strategies and best practices to stay ahead of emerging threats Key Features Benefit from a holistic approach and gain practical guidance to align security strategies with your business goals Derive actionable insights from real-world scenarios and case studies Demystify vendor claims and make informed decisions about cybersecurity solutions tailored to your needs Purchase of the print or Kindle book includes a free PDF eBook Book DescriptionIf you are a cybersecurity professional looking for practical and actionable guidance to strengthen your organization’s security, then this is the book for you. Cybersecurity Strategies and Best Practices is a comprehensive guide that offers pragmatic insights through real-world case studies. Written by a cybersecurity expert with extensive experience in advising global organizations, this guide will help you align security measures with business objectives while tackling the ever-changing threat landscape. You’ll understand the motives and methods of cyber adversaries and learn how to navigate the complexities of implementing defense measures. As you progress, you’ll delve into carefully selected real-life examples that can be applied in a multitude of security scenarios. You’ll also learn how to cut through the noise and make informed decisions when it comes to cybersecurity solutions by carefully assessing vendor claims and technology offerings. Highlighting the importance of a comprehensive approach, this book bridges the gap between technical solutions and business strategies to help you foster a secure organizational environment. By the end, you’ll have the knowledge and tools necessary to improve your organization's cybersecurity posture and navigate the rapidly changing threat landscape.What you will learn Adapt to the evolving threat landscape by staying up to date with emerging trends Identify and assess vulnerabilities and weaknesses within your organization's enterprise network and cloud environment Discover metrics to measure the effectiveness of security controls Explore key elements of a successful cybersecurity strategy, including risk management, digital forensics, incident response, and security awareness programs Get acquainted with various threat intelligence sharing platforms and frameworks Who this book is for This book is for security professionals and decision makers tasked with evaluating and selecting cybersecurity solutions to protect their organization from evolving threats. While a foundational understanding of cybersecurity is beneficial, it’s not a prerequisite.

Download or read book Cyber Adversary Characterization written by Marcus Sachs and published by Elsevier. This book was released on 2004-07-09 with total page 356 pages. Available in PDF, EPUB and Kindle. Book excerpt: The wonders and advantages of modern age electronics and the World Wide Web have also, unfortunately, ushered in a new age of terrorism. The growing connectivity among secure and insecure networks has created new opportunities for unauthorized intrusions into sensitive or proprietary computer systems. Some of these vulnerabilities are waiting to be exploited, while numerous others already have. Everyday that a vulnerability or threat goes unchecked greatly increases an attack and the damage it can cause. Who knows what the prospects for a cascade of failures across US infrastructures could lead to. What type of group or individual would exploit this vulnerability, and why would they do it? "Inside the Mind of a Criminal Hacker" sets the stage and cast of characters for examples and scenarios such as this, providing the security specialist a window into the enemy's mind - necessary in order to develop a well configured defense. Written by leading security and counter-terrorism experts, whose experience include first-hand exposure in working with government branches & agencies (such as the FBI, US Army, Department of Homeland Security), this book sets a standard for the fight against the cyber-terrorist. Proving, that at the heart of the very best defense is knowing and understanding your enemy.* This book will demonstrate the motives and motivations of criminal hackers through profiling attackers at post attack and forensic levels. * This book is essential to those who need to truly "know thy enemy" in order to prepare the best defense.* . The breadth of material in "Inside the Criminal Mind" will surprise every security specialist and cyber-terrorist buff of how much they do and (more importantly) don't know about the types of adversaries they stand to face.

Download or read book Handbook of Research on Current Trends in Cybersecurity and Educational Technology written by Jimenez, Remberto and published by IGI Global. This book was released on 2023-02-17 with total page 508 pages. Available in PDF, EPUB and Kindle. Book excerpt: There has been an increased use of technology in educational settings since the start of the COVID-19 pandemic. Despite the benefits of including such technologies to support education, there is still the need for vigilance to counter the inherent risk that comes with the use of such technologies as the protection of students and their information is paramount to the effective deployment of any technology in education. The Handbook of Research on Current Trends in Cybersecurity and Educational Technology explores the full spectrum of cybersecurity and educational technology today and brings awareness to the recent developments and use cases for emergent educational technology. Covering key topics such as artificial intelligence, gamification, robotics, and online learning, this premier reference source is ideal for computer scientists, industry professionals, policymakers, administrators, researchers, academicians, scholars, practitioners, instructors, and students.

Download or read book Effective Model Based Systems Engineering written by John M. Borky and published by Springer. This book was released on 2018-09-08 with total page 788 pages. Available in PDF, EPUB and Kindle. Book excerpt: This textbook presents a proven, mature Model-Based Systems Engineering (MBSE) methodology that has delivered success in a wide range of system and enterprise programs. The authors introduce MBSE as the state of the practice in the vital Systems Engineering discipline that manages complexity and integrates technologies and design approaches to achieve effective, affordable, and balanced system solutions to the needs of a customer organization and its personnel. The book begins with a summary of the background and nature of MBSE. It summarizes the theory behind Object-Oriented Design applied to complex system architectures. It then walks through the phases of the MBSE methodology, using system examples to illustrate key points. Subsequent chapters broaden the application of MBSE in Service-Oriented Architectures (SOA), real-time systems, cybersecurity, networked enterprises, system simulations, and prototyping. The vital subject of system and architecture governance completes the discussion. The book features exercises at the end of each chapter intended to help readers/students focus on key points, as well as extensive appendices that furnish additional detail in particular areas. The self-contained text is ideal for students in a range of courses in systems architecture and MBSE as well as for practitioners seeking a highly practical presentation of MBSE principles and techniques.

Download or read book Cybersecurity Chronicles Navigating the Digital World Safely Guardian of the Digital Realm Expert Tips for Data Protection Privacy and Cyber Resilience written by Dr. Lalit Gupta and published by StoryMirror Infotech Pvt Ltd. This book was released on 2023-12-09 with total page 310 pages. Available in PDF, EPUB and Kindle. Book excerpt: About the Book: Embark on an enthralling journey into the heart of the digital universe with "Cybersecurity Chronicles: Navigating the Digital World Safely." In a world where the boundaries between the digital and physical blur, this non-fiction gem immerses you in a narrative teeming with intrigue and revelation. · Explore the inner workings of cyber threats, from the crafty maneuvers of malicious hackers to the vulnerabilities lurking within interconnected systems. · Learn the art of safeguarding your personal information and data in an era of digital identity theft and relentless data breaches. · Peer into the future of cybersecurity, where AI-driven threats and the Internet of Things pose new challenges and opportunities. · Join a collective mission to create a safer digital world. Discover how teachers, students, professionals, and citizens come together to foster a culture of cybersecurity awareness and resilience. About the Author: Dr. Lalit Gupta is a distinguished luminary within the cybersecurity domain, celebrated for his exceptional technical prowess and remarkable communication abilities. He is widely acknowledged as an authoritative Subject Matter Expert (SME) in vital areas such as Information Security, Cyber Security, Audit, Risk Management, and Cloud Security. Over the course of his illustrious career, Dr. Gupta has traversed an array of industry sectors, including Government, FinTech, BFSI, IT/ITES, SaaS, Pharmaceutical, Automotive, Aviation, Manufacturing, Energy, and Telecom. Beyond the corporate arena, Dr. Lalit Gupta is revered as a trusted adviser and an esteemed mentor to UAE Federal Government teams and Indian defense Teams. His vast expertise and influential contributions underscore his substantial impact in the realm of cybersecurity. This book stands as a testament to his unwavering commitment to knowledge dissemination, empowering readers to navigate the digital landscape securely.