A Data-Driven Computer Security Defense

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Release : 2017-09-26
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Book Rating : 534/5 ( reviews)

A Data-Driven Computer Security Defense - read free eBook in online reader or directly download on the web page. Select files or add your book in reader. Download and read online ebook A Data-Driven Computer Security Defense write by Roger Grimes. This book was released on 2017-09-26. A Data-Driven Computer Security Defense available in PDF, EPUB and Kindle. 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.

A Data-Driven Computer Defense

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Release : 2019-04-02
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Book Rating : 845/5 ( reviews)

A Data-Driven Computer Defense - read free eBook in online reader or directly download on the web page. Select files or add your book in reader. Download and read online ebook A Data-Driven Computer Defense write by Roger Grimes. This book was released on 2019-04-02. A Data-Driven Computer Defense available in PDF, EPUB and Kindle. 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.

Practical Threat Intelligence and Data-Driven Threat Hunting

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Release : 2021-02-12
Genre : Computers
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Book Rating : 638/5 ( reviews)

Practical Threat Intelligence and Data-Driven Threat Hunting - read free eBook in online reader or directly download on the web page. Select files or add your book in reader. Download and read online ebook Practical Threat Intelligence and Data-Driven Threat Hunting write by Valentina Costa-Gazcón. This book was released on 2021-02-12. Practical Threat Intelligence and Data-Driven Threat Hunting available in PDF, EPUB and Kindle. 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.

Data-Driven Security

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Release : 2014-01-24
Genre : Computers
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Book Rating : 82X/5 ( reviews)

Data-Driven Security - read free eBook in online reader or directly download on the web page. Select files or add your book in reader. Download and read online ebook Data-Driven Security write by Jay Jacobs. This book was released on 2014-01-24. Data-Driven Security available in PDF, EPUB and Kindle. 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.

Cybersecurity in Intelligent Networking Systems

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Release : 2023-01-24
Genre : Computers
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Book Rating : 917/5 ( reviews)

Cybersecurity in Intelligent Networking Systems - read free eBook in online reader or directly download on the web page. Select files or add your book in reader. Download and read online ebook Cybersecurity in Intelligent Networking Systems write by Shengjie Xu. This book was released on 2023-01-24. Cybersecurity in Intelligent Networking Systems available in PDF, EPUB and Kindle. 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.