Collaborative Security With Cyber Threat Intelligence

Threat intelligence is a surprisingly complex topic that goes far beyond the obvious technical challenges of collecting, modelling and sharing technical indicators. Most books in this area focus mainly on technical measures to harden a system based on threat intel data and limit their scope to single organizations only. This book provides a unique angle on the topic of national cyber threat intelligence and security information sharing. It also provides a clear view on ongoing works in research laboratories world-wide in order to address current security concerns at national level. It allows practitioners to learn about upcoming trends, researchers to share current results, and decision makers to prepare for future developments.

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

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

"Scalable Framework for Cyber Threat Situational Awareness" is a comprehensive and practical guide that explores the development and implementation of a scalable framework for achieving effective cyber threat situational awareness. Authored by cybersecurity experts and researchers, this book serves as a valuable resource for security professionals, analysts, and decision-makers seeking to enhance their understanding of cyber threats and improve their response capabilities. In this book, the authors address the critical need for organizations to establish robust situational awareness capabilities to detect, analyze, and respond to cyber threats in real-time. They present a scalable framework that integrates various data sources, analysis techniques, and visualization tools to provide a holistic view of the evolving threat landscape. Key topics covered in this book include: Introduction to cyber threat situational awareness: The authors provide an overview of the concept of cyber threat situational awareness, its importance in modern cybersecurity, and the challenges faced in achieving comprehensive awareness in dynamic and complex environments. Scalable framework architecture: The book presents the architecture of a scalable framework for cyber threat situational awareness. It covers the integration of diverse data sources, including network logs, intrusion detection systems, threat intelligence feeds, and user behavior data. The authors discuss the design principles and components necessary for building a scalable and adaptable framework. Data collection and aggregation: The authors delve into the process of collecting and aggregating data from various sources within the organization and external feeds. They explore techniques for data normalization, filtering, and enrichment to ensure the availability of high-quality data for analysis. Threat detection and analysis: The book covers advanced analytics techniques and algorithms for detecting and analyzing cyber threats. It explores anomaly detection, machine learning, and behavioral analysis approaches to identify patterns, indicators, and potential threats within the data. Visualization and reporting: The authors discuss visualization tools and techniques for presenting cyber threat information in a meaningful and intuitive manner. They highlight the importance of visualizing complex data to aid in decision-making, incident response, and collaboration among security teams. Incident response and mitigation: The book explores strategies for incident response and mitigation based on the insights gained from the cyber threat situational awareness framework. It covers incident triage, prioritization, and response coordination to ensure timely and effective actions against identified threats. Scalability and adaptability: The authors address the scalability and adaptability considerations of the framework, enabling organizations to handle large volumes of data, accommodate evolving threats, and integrate new data sources and analysis techniques. Integration with existing security systems: The book provides guidance on integrating the cyber threat situational awareness framework with existing security systems, such as security information and event management (SIEM) platforms, intrusion detection systems (IDS), and security orchestration, automation, and response (SOAR) tools. Emerging trends and future directions: The authors discuss emerging trends and technologies in cyber threat situational awareness, including threat intelligence sharing, collaborative defense, and leveraging artificial intelligence (AI) and machine learning (ML) for automated threat analysis.

This book constitutes the refereed proceedings of the First International Workshop on Cyber-Physical Security for Critical Infrastructures Protection, CPS4CIP 2020, which was organized in conjunction with the European Symposium on Research in Computer Security, ESORICS 2020, and held online on September 2020. The 14 full papers presented in this volume were carefully reviewed and selected from 24 submissions. They were organized in topical sections named: security threat intelligence; data anomaly detection: predict and prevent; computer vision and dataset for security; security management and governance; and impact propagation and power traffic analysis. The book contains 6 chapters which are available open access under a CC-BY license.

These proceedings represent the work of contributors to the 19th European Conference on Cyber Warfare and Security (ECCWS 2020), supported by University of Chester, UK on 25-26 June 2020. The Conference Co-chairs are Dr Thaddeus Eze and Dr Lee Speakman, both from University of Chester and the Programme Chair is Dr Cyril Onwubiko from IEEE and Director, Cyber Security Intelligence at Research Series Limited. ECCWS is a well-established event on the academic research calendar and now in its 19th year the key aim remains the opportunity for participants to share ideas and meet. The conference was due to be held at University of Chester, UK, but due to the global Covid-19 pandemic it was moved online to be held as a virtual event. The scope of papers will ensure an interesting conference. The subjects covered illustrate the wide range of topics that fall into this important and ever-growing area of research.

This book provides readers with up-to-date research of emerging cyber threats and defensive mechanisms, which are timely and essential. It covers cyber threat intelligence concepts against a range of threat actors and threat tools (i.e. ransomware) in cutting-edge technologies, i.e., Internet of Things (IoT), Cloud computing and mobile devices. This book also provides the technical information on cyber-threat detection methods required for the researcher and digital forensics experts, in order to build intelligent automated systems to fight against advanced cybercrimes. The ever increasing number of cyber-attacks requires the cyber security and forensic specialists to detect, analyze and defend against the cyber threats in almost real-time, and with such a large number of attacks is not possible without deeply perusing the attack features and taking corresponding intelligent defensive actions – this in essence defines cyber threat intelligence notion. However, such intelligence would not be possible without the aid of artificial intelligence, machine learning and advanced data mining techniques to collect, analyze, and interpret cyber-attack campaigns which is covered in this book. This book will focus on cutting-edge research from both academia and industry, with a particular emphasis on providing wider knowledge of the field, novelty of approaches, combination of tools and so forth to perceive reason, learn and act on a wide range of data collected from different cyber security and forensics solutions. This book introduces the notion of cyber threat intelligence and analytics and presents different attempts in utilizing machine learning and data mining techniques to create threat feeds for a range of consumers. Moreover, this book sheds light on existing and emerging trends in the field which could pave the way for future works. The inter-disciplinary nature of this book, makes it suitable for a wide range of audiences with backgrounds in artificial intelligence, cyber security, forensics, big data and data mining, distributed systems and computer networks. This would include industry professionals, advanced-level students and researchers that work within these related fields.

This is a monumental reference for the theory and practice of computer security. Comprehensive in scope, this text covers applied and practical elements, theory, and the reasons for the design of applications and security techniques. It covers both the management and the engineering issues of computer security. It provides excellent examples of ideas and mechanisms that demonstrate how disparate techniques and principles are combined in widely-used systems. This book is acclaimed for its scope, clear and lucid writing, and its combination of formal and theoretical aspects with real systems, technologies, techniques, and policies.