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Cognitive Electronic Warfare : An Artificial Intelligence Approach, by Haigh, Karen, and Julia AndrusenkoThis comprehensive book gives an overview of how cognitive systems and artificial intelligence (AI) can be used in electronic warfare (EW). Readers will learn how EW systems respond more quickly and effectively to battlefield conditions where sophisticated radars and spectrum congestion put a high priority on EW systems that can characterize and classify novel waveforms, discern intent, and devise and test countermeasures. Specific techniques are covered for optimizing a cognitive EW system as well as evaluating its ability to learn new information in real time.The book presents AI for electronic support (ES), including characterization, classification, patterns of life, and intent recognition. Optimization techniques, including temporal tradeoffs and distributed optimization challenges are also discussed. The issues concerning real-time in-mission machine learning and suggests some approaches to address this important challenge are presented and described. The book covers electronic battle management, data management, and knowledge sharing. Evaluation approaches, including how to show that a machine learning system can learn how to handle novel environments, are also discussed. Written by experts with first-hand experience in AI-based EW, this is the first book on in-mission real-time learning and optimization.
ISBN: 9781630818128
Publication Date: 2021-07-31
Cyber Breach Response That Actually Works by Andrew GoreckiYou will be breached--the only question is whether you'll be ready A cyber breach could cost your organization millions of dollars--in 2019, the average cost of a cyber breach for companies was $3.9M, a figure that is increasing 20-30% annually. But effective planning can lessen the impact and duration of an inevitable cyberattack. Cyber Breach Response That Actually Works provides a business-focused methodology that will allow you to address the aftermath of a cyber breach and reduce its impact to your enterprise. This book goes beyond step-by-step instructions for technical staff, focusing on big-picture planning and strategy that makes the most business impact. Inside, you'll learn what drives cyber incident response and how to build effective incident response capabilities. Expert author Andrew Gorecki delivers a vendor-agnostic approach based on his experience with Fortune 500 organizations. Understand the evolving threat landscape and learn how to address tactical and strategic challenges to build a comprehensive and cohesive cyber breach response program Discover how incident response fits within your overall information security program, including a look at risk management Build a capable incident response team and create an actionable incident response plan to prepare for cyberattacks and minimize their impact to your organization Effectively investigate small and large-scale incidents and recover faster by leveraging proven industry practices Navigate legal issues impacting incident response, including laws and regulations, criminal cases and civil litigation, and types of evidence and their admissibility in court In addition to its valuable breadth of discussion on incident response from a business strategy perspective, Cyber Breach Response That Actually Works offers information on key technology considerations to aid you in building an effective capability and accelerating investigations to ensure your organization can continue business operations during significant cyber events.
ISBN: 9781119679318
Publication Date: 2020-06-09
Empirical Cloud Security by Aditya K. SoodThis book is designed for security and risk assessment professionals, DevOps engineers, penetration testers, cloud security engineers, and cloud software developers who are interested in learning practical approaches to cloud security. It covers practical strategies for assessing the security and privacy of your cloud infrastructure and applications and shows how to make your cloud infrastructure secure to combat threats, attacks, and prevent data breaches. The chapters are designed with a granular framework, starting with the security concepts, followed by hand-on assessment techniques based on real-world studies, and concluding with recommendations including best practices. FEATURES: Includes practical strategies for assessing the security and privacy of your cloud infrastructure and applications Covers topics such as cloud architecture and security fundamentals, database and storage security, data privacy, security and risk assessments, controls related to continuous monitoring, and more Presents several case studies revealing how threat actors abuse and exploit cloud environments to spread malware
ISBN: 9781683926849
Publication Date: 2021-04-15
Industrial Cybersecurity by Pascal AckermanYour one-step guide to understanding industrial cyber security, its control systems, and its operations.About This Book* Learn about endpoint protection such as anti-malware implementation, updating, monitoring, and sanitizing user workloads and mobile devices* Filled with practical examples to help you secure critical infrastructure systems efficiently* A step-by-step guide that will teach you the techniques and methodologies of building robust infrastructure systemsWho This Book Is ForIf you are a security professional and want to ensure a robust environment for critical infrastructure systems, this book is for you. IT professionals interested in getting into the cyber security domain or who are looking at gaining industrial cyber security certifications will also find this book useful. What You Will Learn* Understand industrial cybersecurity, its control systems and operations* Design security-oriented architectures, network segmentation, and security support services* Configure event monitoring systems, anti-malware applications, and endpoint security* Gain knowledge of ICS risks, threat detection, and access management* Learn about patch management and life cycle management* Secure your industrial control systems from design through retirementIn DetailWith industries expanding, cyber attacks have increased significantly. Understanding your control system's vulnerabilities and learning techniques to defend critical infrastructure systems from cyber threats is increasingly important. With the help of real-world use cases, this book will teach you the methodologies and security measures necessary to protect critical infrastructure systems and will get you up to speed with identifying unique challenges.Industrial cybersecurity begins by introducing Industrial Control System (ICS) technology, including ICS architectures, communication media, and protocols. This is followed by a presentation on ICS (in) security. After presenting an ICS-related attack scenario, securing of the ICS is discussed, including topics such as network segmentation, defense-in-depth strategies, and protective solutions. Along with practical examples for protecting industrial control systems, this book details security assessments, risk management, and security program development. It also covers essential cybersecurity aspects, such as threat detection and access management. Topics related to endpoint hardening such as monitoring, updating, and anti-malware implementations are also discussed.Style and approachA step-by-step guide to implement Industrial Cyber Security effectively.
ISBN: 9781788395151
Publication Date: 2017-10-18
Machine Learning for Cybersecurity Cookbook by Emmanuel TsukermanLearn how to apply modern AI to create powerful cybersecurity solutions for malware, pentesting, social engineering, data privacy, and intrusion detection Key Features Manage data of varying complexity to protect your system using the Python ecosystem Apply ML to pentesting, malware, data privacy, intrusion detection system(IDS) and social engineering Automate your daily workflow by addressing various security challenges using the recipes covered in the book Book 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 learn Learn how to build malware classifiers to detect suspicious activities Apply ML to generate custom malware to pentest your security Use ML algorithms with complex datasets to implement cybersecurity concepts Create neural networks to identify fake videos and images Secure your organization from one of the most popular threats - insider threats Defend against zero-day threats by constructing an anomaly detection system Detect web vulnerabilities effectively by combining Metasploit and ML Understand how to train a model without exposing the training data Who 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.
ISBN: 9781789614671
Publication Date: 2019-11-25
Malware Data Science by Joshua Saxe; Hillary SandersSecurity has become a 'big data' problem. The growth rate of malware has accelerated to tens of millions of new files per year while our networks generate an ever-larger flood of security-relevant data each day. In order to defend against these advanced attacks, you'll need to know how to think like a data scientist. In Malware Data Science, security data scientist Joshua Saxe introduces machine learning, statistics, social network analysis, and data visualisation, and shows you how to apply these methods to malware detection and analysis.
The State of CybersecurityPackt PublishingJuly 2022
The State of Cybersecurity
This video explains the state of cybersecurity.
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