Tor and the Dark Art of Anonymity: How to Be Invisible from NSA Spying

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The NSA hates Tor. So does the FBI. Even Google wants it gone, as do Facebook and Yahoo and every other soul-draining, identity-tracking vampiric media cartel that scans your emails and spies on your private browsing sessions to better target you. But there's hope. This manual will give you the incognito tools that will make you a master of anonymity! Other books tell you to install Tor and then encrypt your hard drive… and leave it at that. I go much deeper, delving into the very engine of ultimate network security, taking it to an art form where you'll receive a new darknet persona – how to be anonymous online without looking like you're trying to be anonymous online. Covered in Tor: – Browse the Internet Anonymously – Darkcoins, Darknet Marketplaces & Opsec Requirements – Tor Hidden Servers – How to Not Get Caught – Counter-Forensics the FBI Doesn't Want You to Know About – Windows vs. Linux – Which Offers Stronger Network Security? – Cryptocurrency (Real Bitcoin Anonymity) – Supercookies & Encryption – Preventing Marketers and Debt Collectors From Finding You – How to Protect Your Assets – i.e., How to Be Invisible and even Hide from the Internet itself! – How to Hide Anything Scroll back up and click "Look Inside" and Take Back Your Life Today!

Creeping Failure: How We Broke the Internet and What We Can Do to Fix It

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The Internet is often called a superhighway, but it may be more analogous to a city: an immense tangle of streets, highways, and interchanges, lined with homes and businesses, playgrounds and theatres. We may not physically live in this city, but most of us spend a lot of time there, and even pay rents and fees to hold property in it.

But the Internet is not a city of the 21st century. Jeffrey Hunker, an internationally known expert in cyber-security and counter-terrorism policy, argues that the Internet of today is, in many ways, equivalent to the burgeoning cities of the early Industrial Revolution: teeming with energy but also with new and previously unimagined dangers, and lacking the technical and political infrastructures to deal with these problems. In a world where change of our own making has led to unexpected consequences, why have we failed, at our own peril, to address these consequences?
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Mitigating DoS and DDoS: with Special Emphasis on Application Layer Attacks

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Denial of Service (DoS) and Distributed Denial of Service (DDoS) are among the most common threats to IT security. As it does not require advanced resources, such attacks can be carried out by private individuals as well as organized groups, so-called “hacktivists”. This book gives an overview and detailed description of the different kinds of attacks commonly used by hackers and it shows the challenges for IT security experts. In a practical application exercise, a DoS attack simulation is created by running the tool Low Orbit Ion Canon (LOIC) on the attacker side and a victim running an Apache 2 server. A Wireshark network utility tool is used to capture and analyze the difference between the traffic sent from the LOIC client and the normal user. In addition, to simulate a DDoS attack, a MeTuS Delphi 2.8 tool is used to create the botnet. The configurations required to run the MeTuS Delphi tool such as PortForwarding and setting up a Dynamic DNS Update Client are shown in detail. A SSYN attack is also carried out by using the tool itself. Finally, the different mitigation techniques such as Iptables, ModSecurity, and Mod Evasive are discussed and shown in practice.

Cyber Attack

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There are an estimated 8.7 billion devices currently connected to the Internet – and each one is a threat to its owner. Computers and computer systems rule our lives, and it is impossible to imagine life without them. But as society has become evermore dependent, both economically and politically, on the electronic flow of information, it has made us vulnerable to the real and destabilizing threat of cyber attack – the extremes of which could see us having to exist without power, vital resources and communications. Confronting this terrifying reality, Cyber Attack explores the digital dangers we face and examines the extremes they could reach. The book also investigates who is responsible and what can be done to protect us. Cyber Attack is written by bestselling author Paul Day, a former hacker turned leading computer security expert, and covers all areas of digital menace. What you learn in this book will make you think again next time you make an online transaction or send sensitive information from your smart phone.

Mining the Web: Discovering Knowledge from Hypertext Data (The Morgan Kaufmann Series in Data Management Systems)

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Mining the Web: Discovering Knowledge from Hypertext Data is the first book devoted entirely to techniques for producing knowledge from the vast body of unstructured Web data. Building on an initial survey of infrastructural issues-including Web crawling and indexing-Chakrabarti examines low-level machine learning techniques as they relate specifically to the challenges of Web mining. He then devotes the final part of the book to applications that unite infrastructure and analysis to bring machine learning to bear on systematically acquired and stored data. Here the focus is on results: the strengths and weaknesses of these applications, along with their potential as foundations for further progress. From Chakrabarti's work-painstaking, critical, and forward-looking-readers will gain the theoretical and practical understanding they need to contribute to the Web mining effort.

* A comprehensive, critical exploration of statistics-based attempts to make sense of Web Mining.
* Details the special challenges associated with analyzing unstructured and semi-structured data.
* Looks at how classical Information Retrieval techniques have been modified for use with Web data.
* Focuses on today's dominant learning methods: clustering and classification, hyperlink analysis, and supervised and semi-supervised learning.
* Analyzes current applications for resource discovery and social network analysis.
* An excellent way to introduce students to especially vital applications of data mining and machine learning technology.