Hands On Dark Web Analysis
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Hands-On Dark Web Analysis
Understanding the concept Dark Web and Dark Net to utilize it for effective cybersecurity Key FeaturesUnderstand the concept of Dark Net and Deep WebUse Tor to extract data and maintain anonymityDevelop a security framework using Deep web evidences Book Description The overall world wide web is divided into three main areas - the Surface Web, the Deep Web, and the Dark Web. The Deep Web and Dark Web are the two areas which are not accessible through standard search engines or browsers. It becomes extremely important for security professionals to have control over these areas to analyze the security of your organization. This book will initially introduce you to the concept of the Deep Web and the Dark Web and their significance in the security sector. Then we will deep dive into installing operating systems and Tor Browser for privacy, security and anonymity while accessing them. During the course of the book, we will also share some best practices which will be useful in using the tools for best effect. By the end of this book, you will have hands-on experience working with the Deep Web and the Dark Web for security analysis What you will learnAccess the Deep Web and the Dark WebLearn to search and find information in the Dark WebProtect yourself while browsing the Dark WebUnderstand what the Deep Web and Dark Web areLearn what information you can gather, and howWho this book is for This book is targeted towards security professionals, security analyst, or any stakeholder interested in learning the concept of deep web and dark net. No prior knowledge on Deep Web and Dark Net is required
Dark Web Pattern Recognition and Crime Analysis Using Machine Intelligence
Data stealing is a major concern on the internet as hackers and criminals have begun using simple tricks to hack social networks and violate privacy. Cyber-attack methods are progressively modern, and obstructing the attack is increasingly troublesome, regardless of whether countermeasures are taken. The Dark Web especially presents challenges to information privacy and security due to anonymous behaviors and the unavailability of data. To better understand and prevent cyberattacks, it is vital to have a forecast of cyberattacks, proper safety measures, and viable use of cyber-intelligence that empowers these activities. Dark Web Pattern Recognition and Crime Analysis Using Machine Intelligence discusses cyberattacks, security, and safety measures to protect data and presents the shortcomings faced by researchers and practitioners due to the unavailability of information about the Dark Web. Attacker techniques in these Dark Web environments are highlighted, along with intrusion detection practices and crawling of hidden content. Covering a range of topics such as malware and fog computing, this reference work is ideal for researchers, academicians, practitioners, industry professionals, computer scientists, scholars, instructors, and students.
Dark World
Discover the hidden depths of the digital underworld in this comprehensive, interdisciplinary exploration of the dark web. Ideal for security agencies, professionals, counter-terrorism experts, and policymakers alike, this work offers invaluable insights that will enhance understanding and fortify strategies. By shedding particular light on the nuances of the ‘dark market,’ this book provides readers with a detailed understanding of the dark web, encompassing both its sinister underbelly and unexpected potential. This book also uncovers the latest trends and cutting-edge mitigation techniques. From illicit transactions to thriving business ventures, it examines the key domains and sectors that thrive within this clandestine environment. This book consolidates myriad perspectives on security and threats on the dark web.