Effective introduction to cyber threat intelligence, supplemented with detailed case studies and after action reports of intelligence on real attacks Cyber Threat Intelligence introduces the history, terminology, and techniques to be applied within cyber security, offering an overview of the current state of cyberattacks and stimulating readers to consider their own issues from a threat intelligence point of view. The highly qualified author takes a systematic, system-agnostic, and holistic view to generating, collecting, and applying threat intelligence. The text covers the threat environment, malicious attacks, collecting, generating, and applying intelligence and attribution, as well as legal and ethical considerations. It ensures readers know what to look out for when looking for a potential cyber attack and imparts how to prevent attacks early on, explaining how threat actors can exploit a system’s vulnerabilities. It also includes analysis of large scale attacks such as WannaCry, NotPetya, Solar Winds, VPNFilter, and the Target breach, looking at the real intelligence that was available before and after the attack. Sample topics covered in Cyber Threat Intelligence include: The constant change of the threat environment as capabilities, intent, opportunities, and defenses change and evolve. Different business models of threat actors, and how these dictate the choice of victims and the nature of their attacks. Planning and executing a threat intelligence programme to improve an organisation’s cyber security posture. Techniques for attributing attacks and holding perpetrators to account for their actions. Cyber Threat Intelligence describes the intelligence techniques and models used in cyber threat intelligence. It provides a survey of ideas, views and concepts, rather than offering a hands-on practical guide. It is intended for anyone who wishes to learn more about the domain, particularly if they wish to develop a career in intelligence, and as a reference for those already working in the area.

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

This book describes techniques and results in cyber threat intelligence from the center of the malicious hacking underworld - the dark web.

This book reviews IoT-centric vulnerabilities from a multidimensional perspective by elaborating on IoT attack vectors, their impacts on well-known security objectives, attacks which exploit such vulnerabilities, coupled with their corresponding remediation methodologies. This book further highlights the severity of the IoT problem at large, through disclosing incidents of Internet-scale IoT exploitations, while putting forward a preliminary prototype and associated results to aid in the IoT mitigation objective. Moreover, this book summarizes and discloses findings, inferences, and open challenges to inspire future research addressing theoretical and empirical aspects related to the imperative topic of IoT security. At least 20 billion devices will be connected to the Internet in the next few years. Many of these devices transmit critical and sensitive system and personal data in real-time. Collectively known as “the Internet of Things” (IoT), this market represents a $267 billion per year industry. As valuable as this market is, security spending on the sector barely breaks 1%. Indeed, while IoT vendors continue to push more IoT devices to market, the security of these devices has often fallen in priority, making them easier to exploit. This drastically threatens the privacy of the consumers and the safety of mission-critical systems. This book is intended for cybersecurity researchers and advanced-level students in computer science. Developers and operators working in this field, who are eager to comprehend the vulnerabilities of the Internet of Things (IoT) paradigm and understand the severity of accompanied security issues will also be interested in this book.

Intelligence-Led Security: How to Understand, Justify and Implement a New Approach to Security is a concise review of the concept of Intelligence-Led Security. Protecting a business, including its information and intellectual property, physical infrastructure, employees, and reputation, has become increasingly difficult. Online threats come from all sides: internal leaks and external adversaries; domestic hacktivists and overseas cybercrime syndicates; targeted threats and mass attacks. And these threats run the gamut from targeted to indiscriminate to entirely accidental. Among thought leaders and advanced organizations, the consensus is now clear. Defensive security measures: antivirus software, firewalls, and other technical controls and post-attack mitigation strategies are no longer sufficient. To adequately protect company assets and ensure business continuity, organizations must be more proactive. Increasingly, this proactive stance is being summarized by the phrase Intelligence-Led Security: the use of data to gain insight into what can happen, who is likely to be involved, how they are likely to attack and, if possible, to predict when attacks are likely to come. In this book, the authors review the current threat-scape and why it requires this new approach, offer a clarifying definition of what Cyber Threat Intelligence is, describe how to communicate its value to business, and lay out concrete steps toward implementing Intelligence-Led Security. - Learn how to create a proactive strategy for digital security - Use data analysis and threat forecasting to predict and prevent attacks before they start - Understand the fundamentals of today's threatscape and how best to organize your defenses

In recent years, a considerable amount of effort has been devoted to cyber-threat protection of computer systems which is one of the most critical cybersecurity tasks for single users and businesses since even a single attack can result in compromised data and sufficient losses. Massive losses and frequent attacks dictate the need for accurate and timely detection methods. Current static and dynamic methods do not provide efficient detection, especially when dealing with zero-day attacks. For this reason, big data analytics and machine intelligencebased techniques can be used. This book brings together researchers in the field of big data analytics and intelligent systems for cyber threat intelligence CTI and key data to advance the mission of anticipating, prohibiting, preventing, preparing, and responding to internal security. The wide variety of topics it presents offers readers multiple perspectives on various disciplines related to big data analytics and intelligent systems for cyber threat intelligence applications. Technical topics discussed in the book include: • Big data analytics for cyber threat intelligence and detection • Artificial intelligence analytics techniques • Real-time situational awareness • Machine learning techniques for CTI • Deep learning techniques for CTI • Malware detection and prevention techniques • Intrusion and cybersecurity threat detection and analysis • Blockchain and machine learning techniques for CTI

The 11thInternational Conference on Cyber Warfare and Security (ICCWS 2016) is being held at Boston University, Boston, USA on the 17-18th March 2016. The Conference Chair is Dr Tanya Zlateva and the Programme Chair is Professor Virginia Greiman, both from Boston University. ICCWS is a recognised Cyber Security event on the International research conferences calendar and provides a valuable platform for individuals to present their research findings, display their work in progress and discuss conceptual and empirical advances in the area of Cyber Warfare and Cyber Security. It provides an important opportunity for researchers and managers to come together with peers to share their experiences of using the varied and expanding range of Cyberwar and Cyber Security research available to them. The keynote speakers for the conference are Daryl Haegley from the Department of Defense (DoD), who will address the topic Control Systems Networks...What's in Your Building? and Neal Ziring from the National Security Agency who will be providing some insight to the issue of Is Security Achievable? A Practical Perspective. ICCWS received 125 abstract submissions this year. After the double blind, peer review process there are 43 Academic Research Papers 8 PhD papers Research papers, 7 Masters and 1 work-in-progress papers published in these Conference Proceedings. These papers represent work from around the world, including: Australia, Canada, China, Czech Republic, District of Columbia, Finland, France, Israel, Japan, Lebanon, Netherlands, Pakistan, Russian Federation, Saudi Arabia, South Africa, Turkey, United Arab Emirates, UK, USA.

This book constitutes the proceedings of the 16th International Conference on Information Systems Security, ICISS 2020, held in Jammu, India, during December 16-20, 2020. The 11 regular papers, 2 short papers and 3 work-in-progress papers included in this volume were carefully reviewed and selected from a total of 53 submissions. The papers were organized in topical sections named: access control; AI/ML in security; privacy and Web security; cryptography; and systems security.

This book discusses artificial intelligence (AI) and cybersecurity from multiple points of view. The diverse chapters reveal modern trends and challenges related to the use of artificial intelligence when considering privacy, cyber-attacks and defense as well as applications from malware detection to radio signal intelligence. The chapters are contributed by an international team of renown researchers and professionals in the field of AI and cybersecurity. During the last few decades the rise of modern AI solutions that surpass humans in specific tasks has occurred. Moreover, these new technologies provide new methods of automating cybersecurity tasks. In addition to the privacy, ethics and cybersecurity concerns, the readers learn several new cutting edge applications of AI technologies. Researchers working in AI and cybersecurity as well as advanced level students studying computer science and electrical engineering with a focus on AI and Cybersecurity will find this book useful as a reference. Professionals working within these related fields will also want to purchase this book as a reference.