Download Free A Data Driven Computer Defense Book in PDF and EPUB Free Download. You can read online A Data Driven Computer Defense and write the review.

Most companies are using inefficient computer security defenses which allow hackers to break in at will. It's so bad that most companies have to assume that it is already or can easily be breached. It doesn't have to be this way! A data-driven computer security defense will help any entity better focus on the right threats and defenses. It will create an environment which will help you recognize emerging threats sooner, communicate those threats faster, and defend far more efficiently. What is taught in this book...better aligning defenses to the very threats they are supposed to defend against, will seem commonsense after you read them, but for reasons explained in the book, aren't applied by most companies. The lessons learned come from a 30-year computer security veteran who consulted with hundreds of companies, large and small, who figured out what did and didn't work when defending against hackers and malware. Roger A. Grimes is the author of nine previous books and over 1000 national magazine articles on computer security. Reading A Data-Driven Computer Security Defense will change the way you look at and use computer security for now on.
Most organizations are using inefficient computer security defenses which allow hackers to break in at will. It's so bad that most companies have to assume that it is already or can easily be breached. It doesn't have to be this way! A data-driven defense will help any entity better focus on the right threats and defenses. It will create an environment which will help you recognize emerging threats sooner, communicate those threats faster, and defend far more efficiently. What is taught in this book...better aligning defenses to the very threats they are supposed to defend against, will seem commonsense after you read them, but for reasons explained in the book, aren't applied by most companies. The lessons learned come from a 30-year computer security veteran who consulted with hundreds of companies, large and small, who figured out what did and didn't work when defending against hackers and malware. Roger A. Grimes is the author of nine previous books and over 1000 national magazine articles on computer security. Reading A Data-Driven Computer Defense will change the way you look at and use computer security for now on. This is the revised 2nd Edition, which contains new, expanded chapters, operational advice, and many more examples you can use to craft your own data-driven defense.
Get to grips with cyber threat intelligence and data-driven threat hunting while exploring expert tips and techniques Key Features Set up an environment to centralize all data in an Elasticsearch, Logstash, and Kibana (ELK) server that enables threat hunting Carry out atomic hunts to start the threat hunting process and understand the environment Perform advanced hunting using MITRE ATT&CK Evals emulations and Mordor datasets Book DescriptionThreat hunting (TH) provides cybersecurity analysts and enterprises with the opportunity to proactively defend themselves by getting ahead of threats before they can cause major damage to their business. This book is not only an introduction for those who don’t know much about the cyber threat intelligence (CTI) and TH world, but also a guide for those with more advanced knowledge of other cybersecurity fields who are looking to implement a TH program from scratch. You will start by exploring what threat intelligence is and how it can be used to detect and prevent cyber threats. As you progress, you’ll learn how to collect data, along with understanding it by developing data models. The book will also show you how to set up an environment for TH using open source tools. Later, you will focus on how to plan a hunt with practical examples, before going on to explore the MITRE ATT&CK framework. By the end of this book, you’ll have the skills you need to be able to carry out effective hunts in your own environment.What you will learn Understand what CTI is, its key concepts, and how it is useful for preventing threats and protecting your organization Explore the different stages of the TH process Model the data collected and understand how to document the findings Simulate threat actor activity in a lab environment Use the information collected to detect breaches and validate the results of your queries Use documentation and strategies to communicate processes to senior management and the wider business Who this book is for If you are looking to start out in the cyber intelligence and threat hunting domains and want to know more about how to implement a threat hunting division with open-source tools, then this cyber threat intelligence book is for you.
"This book describes some of the recent notable advances in threat-detection using machine-learning and artificial-intelligence with a focus on malwares, covering the current trends in ML/statistical approaches to detecting, clustering or classification of cyber-threats extensively"--
This book provides a new perspective on modeling cyber-physical systems (CPS), using a data-driven approach. The authors cover the use of state-of-the-art machine learning and artificial intelligence algorithms for modeling various aspect of the CPS. This book provides insight on how a data-driven modeling approach can be utilized to take advantage of the relation between the cyber and the physical domain of the CPS to aid the first-principle approach in capturing the stochastic phenomena affecting the CPS. The authors provide practical use cases of the data-driven modeling approach for securing the CPS, presenting novel attack models, building and maintaining the digital twin of the physical system. The book also presents novel, data-driven algorithms to handle non- Euclidean data. In summary, this book presents a novel perspective for modeling the CPS.
This Festschrift is in honor of Sushil Jajodia, Professor in the George Mason University, USA, on the occasion of his 70th birthday. This book contains papers written in honor of Sushil Jajodia, of his vision and his achievements. Sushil has sustained a highly active research agenda spanning several important areas in computer security and privacy, and established himself as a leader in the security research community through unique scholarship and service. He has extraordinarily impacted the scientific and academic community, opening and pioneering new directions of research, and significantly influencing the research and development of security solutions worldwide. Also, his excellent record of research funding shows his commitment to sponsored research and the practical impact of his work. The research areas presented in this Festschrift include membrane computing, spiking neural networks, phylogenetic networks, ant colonies optimization, work bench for bio-computing, reaction systems, entropy of computation, rewriting systems, and insertion-deletion systems.
CYBERSECURITY IN INTELLIGENT NETWORKING SYSTEMS Help protect your network system with this important reference work on cybersecurity Cybersecurity and privacy are critical to modern network systems. As various malicious threats have been launched that target critical online services—such as e-commerce, e-health, social networks, and other major cyber applications—it has become more critical to protect important information from being accessed. Data-driven network intelligence is a crucial development in protecting the security of modern network systems and ensuring information privacy. Cybersecurity in Intelligent Networking Systems provides a background introduction to data-driven cybersecurity, privacy preservation, and adversarial machine learning. It offers a comprehensive introduction to exploring technologies, applications, and issues in data-driven cyber infrastructure. It describes a proposed novel, data-driven network intelligence system that helps provide robust and trustworthy safeguards with edge-enabled cyber infrastructure, edge-enabled artificial intelligence (AI) engines, and threat intelligence. Focusing on encryption-based security protocol, this book also highlights the capability of a network intelligence system in helping target and identify unauthorized access, malicious interactions, and the destruction of critical information and communication technology. Cybersecurity in Intelligent Networking Systems readers will also find: Fundamentals in AI for cybersecurity, including artificial intelligence, machine learning, and security threats Latest technologies in data-driven privacy preservation, including differential privacy, federated learning, and homomorphic encryption Key areas in adversarial machine learning, from both offense and defense perspectives Descriptions of network anomalies and cyber threats Background information on data-driven network intelligence for cybersecurity Robust and secure edge intelligence for network anomaly detection against cyber intrusions Detailed descriptions of the design of privacy-preserving security protocols Cybersecurity in Intelligent Networking Systems is an essential reference for all professional computer engineers and researchers in cybersecurity and artificial intelligence, as well as graduate students in these fields.
Hacked Again details the ins and outs of cybersecurity expert and CEO of a top wireless security tech firm Scott Schober, as he struggles to understand: the motives and mayhem behind his being hacked. As a small business owner, family man and tech pundit, Scott finds himself leading a compromised life. By day, he runs a successful security company and reports on the latest cyber breaches in the hopes of offering solace and security tips to millions of viewers. But by night, Scott begins to realize his worst fears are only a hack away as he falls prey to an invisible enemy. When a mysterious hacker begins to steal thousands from his bank account, go through his trash and rake over his social media identity; Scott stands to lose everything he worked so hard for. But his precarious situation only fortifies Scott's position as a cybersecurity expert and also as a harbinger for the fragile security we all cherish in this digital life. Amidst the backdrop of major breaches such as Target and Sony, Scott shares tips and best practices for all consumers concerning email scams, password protection and social media overload: Most importantly, Scott shares his own story of being hacked repeatedly and bow he has come to realize that the only thing as important as his own cybersecurity is that of his readers and viewers. Part cautionary tale and part cyber self-help guide, Hacked Again probes deep into the dark web for truths and surfaces to offer best practices and share stories from an expert who has lived as both an enforcer and a victim in the world of cybersecurity. Book jacket.
Every day approximately three-hundred thousand to four-hundred thousand new malware are registered, many of them being adware and variants of previously known malware. Anti-virus companies and researchers cannot deal with such a deluge of malware – to analyze and build patches. The only way to scale the efforts is to build algorithms to enable machines to analyze malware and classify and cluster them to such a level of granularity that it will enable humans (or machines) to gain critical insights about them and build solutions that are specific enough to detect and thwart existing malware and generic-enough to thwart future variants. Advances in Malware and Data-Driven Network Security comprehensively covers data-driven malware security with an emphasis on using statistical, machine learning, and AI as well as the current trends in ML/statistical approaches to detecting, clustering, and classification of cyber-threats. Providing information on advances in malware and data-driven network security as well as future research directions, it is ideal for graduate students, academicians, faculty members, scientists, software developers, security analysts, computer engineers, programmers, IT specialists, and researchers who are seeking to learn and carry out research in the area of malware and data-driven network security.
Uncover hidden patterns of data and respond with countermeasures Security professionals need all the tools at their disposal to increase their visibility in order to prevent security breaches and attacks. This careful guide explores two of the most powerful data analysis and visualization. You'll soon understand how to harness and wield data, from collection and storage to management and analysis as well as visualization and presentation. Using a hands-on approach with real-world examples, this book shows you how to gather feedback, measure the effectiveness of your security methods, and make better decisions. Everything in this book will have practical application for information security professionals. Helps IT and security professionals understand and use data, so they can thwart attacks and understand and visualize vulnerabilities in their networks Includes more than a dozen real-world examples and hands-on exercises that demonstrate how to analyze security data and intelligence and translate that information into visualizations that make plain how to prevent attacks Covers topics such as how to acquire and prepare security data, use simple statistical methods to detect malware, predict rogue behavior, correlate security events, and more Written by a team of well-known experts in the field of security and data analysis Lock down your networks, prevent hacks, and thwart malware by improving visibility into the environment, all through the power of data and Security Using Data Analysis, Visualization, and Dashboards.