Download or read book Cyber Threat Intelligence written by Ali Dehghantanha and published by Springer. This book was released on 2018-04-27 with total page 334 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.

Download or read book Cyber Security Intelligence and Analytics written by Zheng Xu and published by Springer Nature. This book was released on 2020-03-19 with total page 829 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book presents the outcomes of the 2020 International Conference on Cyber Security Intelligence and Analytics (CSIA 2020), which was dedicated to promoting novel theoretical and applied research advances in the interdisciplinary field of cyber security, particularly those focusing on threat intelligence, analytics, and preventing cyber crime. The conference provides a forum for presenting and discussing innovative ideas, cutting-edge research findings, and novel techniques, methods, and applications concerning all aspects of cyber security intelligence and analytics. CSIA 2020, which was held in Haikou, China on February 28–29, 2020, built on the previous conference in Wuhu, China (2019), and marks the series’ second successful installment.

Download or read book Hands On Artificial Intelligence for Cybersecurity written by Alessandro Parisi and published by Packt Publishing Ltd. This book was released on 2019-08-02 with total page 331 pages. Available in PDF, EPUB and Kindle. Book excerpt: Build smart cybersecurity systems with the power of machine learning and deep learning to protect your corporate assets Key FeaturesIdentify and predict security threats using artificial intelligenceDevelop intelligent systems that can detect unusual and suspicious patterns and attacksLearn how to test the effectiveness of your AI cybersecurity algorithms and toolsBook Description Today's organizations spend billions of dollars globally on cybersecurity. Artificial intelligence has emerged as a great solution for building smarter and safer security systems that allow you to predict and detect suspicious network activity, such as phishing or unauthorized intrusions. This cybersecurity book presents and demonstrates popular and successful AI approaches and models that you can adapt to detect potential attacks and protect your corporate systems. You'll learn about the role of machine learning and neural networks, as well as deep learning in cybersecurity, and you'll also learn how you can infuse AI capabilities into building smart defensive mechanisms. As you advance, you'll be able to apply these strategies across a variety of applications, including spam filters, network intrusion detection, botnet detection, and secure authentication. By the end of this book, you'll be ready to develop intelligent systems that can detect unusual and suspicious patterns and attacks, thereby developing strong network security defenses using AI. What you will learnDetect email threats such as spamming and phishing using AICategorize APT, zero-days, and polymorphic malware samplesOvercome antivirus limits in threat detectionPredict network intrusions and detect anomalies with machine learningVerify the strength of biometric authentication procedures with deep learningEvaluate cybersecurity strategies and learn how you can improve themWho this book is for If you’re a cybersecurity professional or ethical hacker who wants to build intelligent systems using the power of machine learning and AI, you’ll find this book useful. Familiarity with cybersecurity concepts and knowledge of Python programming is essential to get the most out of this book.

Download or read book Cyber Security Intelligence and Analytics written by Zheng Xu and published by Springer. This book was released on 2021-03-10 with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book presents the outcomes of the 2021 International Conference on Cyber Security Intelligence and Analytics (CSIA 2021), an international conference dedicated to promoting novel theoretical and applied research advances in the interdisciplinary field of cyber security, particularly focusing on threat intelligence, analytics, and countering cybercrime. The conference provides a forum for presenting and discussing innovative ideas, cutting-edge research findings and novel techniques, methods and applications on all aspects of cyber security intelligence and analytics. Due to COVID-19, Authors, Keynote Speakers and PC committees will attend the conference online.

Download or read book Collaborative Cyber Threat Intelligence written by Florian Skopik and published by CRC Press. This book was released on 2017-10-16 with total page 293 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.

Download or read book Artificial Intelligence Cybersecurity and Cyber Defence written by Daniel Ventre and published by John Wiley & Sons. This book was released on 2020-12-15 with total page 272 pages. Available in PDF, EPUB and Kindle. Book excerpt: The aim of the book is to analyse and understand the impacts of artificial intelligence in the fields of national security and defense; to identify the political, geopolitical, strategic issues of AI; to analyse its place in conflicts and cyberconflicts, and more generally in the various forms of violence; to explain the appropriation of artificial intelligence by military organizations, but also law enforcement agencies and the police; to discuss the questions that the development of artificial intelligence and its use raise in armies, police, intelligence agencies, at the tactical, operational and strategic levels.

Download or read book Cyber Intelligence Driven Risk written by Richard O. Moore, III and published by John Wiley & Sons. This book was released on 2020-12-10 with total page 192 pages. Available in PDF, EPUB and Kindle. Book excerpt: Turn cyber intelligence into meaningful business decisions and reduce losses from cyber events Cyber Intelligence-Driven Risk provides a solution to one of the most pressing issues that executives and risk managers face: How can we weave information security into our business decisions to minimize overall business risk? In today's complex digital landscape, business decisions and cyber event responses have implications for information security that high-level actors may be unable to foresee. What we need is a cybersecurity command center capable of delivering, not just data, but concise, meaningful interpretations that allow us to make informed decisions. Building, buying, or outsourcing a CI-DR™ program is the answer. In his work with executives at leading financial organizations and with the U.S. military, author Richard O. Moore III has tested and proven this next-level approach to Intelligence and Risk. This book is a guide to: Building, buying, or outsourcing a cyber intelligence–driven risk program Understanding the functional capabilities needed to sustain the program Using cyber intelligence to support Enterprise Risk Management Reducing loss from cyber events by building new organizational capacities Supporting mergers and acquisitions with predictive analytics Each function of a well-designed cyber intelligence-driven risk program can support informed business decisions in the era of increased complexity and emergent cyber threats.

Download or read book Collaborative Cyber Threat Intelligence written by Florian Skopik and published by CRC Press. This book was released on 2017-10-16 with total page 430 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.

Download or read book Big Data Analytics and Intelligent Systems for Cyber Threat Intelligence written by Yassine Maleh and published by CRC Press. This book was released on 2023-04-28 with total page 310 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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

Download or read book AI in Cybersecurity written by Leslie F. Sikos and published by Springer. This book was released on 2018-09-27 with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book presents a collection of state-of-the-art AI approaches to cybersecurity and cyberthreat intelligence, offering strategic defense mechanisms for malware, addressing cybercrime, and assessing vulnerabilities to yield proactive rather than reactive countermeasures. The current variety and scope of cybersecurity threats far exceed the capabilities of even the most skilled security professionals. In addition, analyzing yesterday’s security incidents no longer enables experts to predict and prevent tomorrow’s attacks, which necessitates approaches that go far beyond identifying known threats. Nevertheless, there are promising avenues: complex behavior matching can isolate threats based on the actions taken, while machine learning can help detect anomalies, prevent malware infections, discover signs of illicit activities, and protect assets from hackers. In turn, knowledge representation enables automated reasoning over network data, helping achieve cybersituational awareness. Bringing together contributions by high-caliber experts, this book suggests new research directions in this critical and rapidly growing field.

Download or read book Cybersecurity written by Daniel Reis and published by Archway Publishing. This book was released on 2016-09-08 with total page 224 pages. Available in PDF, EPUB and Kindle. Book excerpt: Organizations and security companies face tremendous obstacles to keep information safe yet available, regrettably the complexity of security impairs this goal. Almost every day, we read headlines about breaches that devastate organizations, causing damage and continually reinforcing how arduous it is to create and maintain a solid defense. Dan Reis, a cyber security professional with over 15 years in security discusses an array of issues, and explores topics organizations and security professional wrestle with to deploy and maintain a robust secure environment. Some views that hinder securitys efficacy: That users can protect themselves and their organization That IT security can see and make sense of everything happening in their network Security complexity will decrease over time using current tools and methodologies Its no longer viable to continually add new product or features and expecting improvement in defenders abilities against capable attackers. Instead of adding yet another layer, solutions need to better utilize and make sense of all the data and information already available, but too often is latent intelligence that is lost in all the noise. The book identifies some key issues as to why todays security has difficulties. As well, it discusses how an area such as better visibility into existing information can create threat intelligence, enabling security and IT staff in their heroic efforts to protect valued information.

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 How to Define and Build an Effective Cyber Threat Intelligence Capability written by Henry Dalziel and published by Syngress. This book was released on 2014-12-05 with total page 43 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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

Download or read book Current and Emerging Trends in Cyber Operations written by Frederic Lemieux and published by Springer. This book was released on 2015-08-27 with total page 254 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book explores current and emerging trends in policy, strategy, and practice related to cyber operations conducted by states and non-state actors. The book examines in depth the nature and dynamics of conflicts in the cyberspace, the geopolitics of cyber conflicts, defence strategy and practice, cyber intelligence and information security.

Download or read book Practical Cyber Intelligence written by Wilson Bautista and published by Packt Publishing Ltd. This book was released on 2018-03-29 with total page 304 pages. Available in PDF, EPUB and Kindle. Book excerpt: Your one stop solution to implement a Cyber Defense Intelligence program in to your organisation. Key Features Intelligence processes and procedures for response mechanisms Master F3EAD to drive processes based on intelligence Threat modeling and intelligent frameworks Case studies and how to go about building intelligent teams Book Description Cyber intelligence is the missing link between your cyber defense operation teams, threat intelligence, and IT operations to provide your organization with a full spectrum of defensive capabilities. This book kicks off with the need for cyber intelligence and why it is required in terms of a defensive framework. Moving forward, the book provides a practical explanation of the F3EAD protocol with the help of examples. Furthermore, we learn how to go about threat models and intelligence products/frameworks and apply them to real-life scenarios. Based on the discussion with the prospective author I would also love to explore the induction of a tool to enhance the marketing feature and functionality of the book. By the end of this book, you will be able to boot up an intelligence program in your organization based on the operation and tactical/strategic spheres of Cyber defense intelligence. What you will learn Learn about the Observe-Orient-Decide-Act (OODA) loop and it's applicability to security Understand tactical view of Active defense concepts and their application in today's threat landscape Get acquainted with an operational view of the F3EAD process to drive decision making within an organization Create a Framework and Capability Maturity Model that integrates inputs and outputs from key functions in an information security organization Understand the idea of communicating with the Potential for Exploitability based on cyber intelligence Who this book is for This book targets incident managers, malware analysts, reverse engineers, digital forensics specialists, and intelligence analysts; experience in, or knowledge of, security operations, incident responses or investigations is desirable so you can make the most of the subjects presented.

Download or read book Artificial Intelligence for Cyber Security Methods Issues and Possible Horizons or Opportunities written by Sanjay Misra and published by Springer Nature. This book was released on 2021-05-31 with total page 467 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book provides stepwise discussion, exhaustive literature review, detailed analysis and discussion, rigorous experimentation results (using several analytics tools), and an application-oriented approach that can be demonstrated with respect to data analytics using artificial intelligence to make systems stronger (i.e., impossible to breach). We can see many serious cyber breaches on Government databases or public profiles at online social networking in the recent decade. Today artificial intelligence or machine learning is redefining every aspect of cyber security. From improving organizations’ ability to anticipate and thwart breaches, protecting the proliferating number of threat surfaces with Zero Trust Security frameworks to making passwords obsolete, AI and machine learning are essential to securing the perimeters of any business. The book is useful for researchers, academics, industry players, data engineers, data scientists, governmental organizations, and non-governmental organizations.

Download or read book Cyber Threat Intelligence written by Ali Dehghantanha and published by . This book was released on 2018 with total page 334 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.