Honeypots: A New Paradigm to Information Security

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A well-rounded, accessible exposition of honeypots in wired and wireless networks, this book addresses the topic from a variety of perspectives. Following a strong theoretical foundation, case studies enhance the practical understanding of the subject. The book covers the latest technology in information security and honeypots, including honeytokens, honeynets, and honeyfarms. Additional topics include denial of service, viruses, worms, phishing, and virtual honeypots and forensics. The book also discusses practical implementations and the current state of research.

Absolute Beginner’s Guide to Security, Spam, Spyware & Viruses

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Amazon Price: $26.99 $25.52 You save: $1.47 (5%). (as of April 22, 2019 23:29 – Details). Product prices and availability are accurate as of the date/time indicated and are subject to change. Any price and availability information displayed on the Amazon site at the time of purchase will apply to the purchase of this product.

Batten down the hatches! Hackers, spammers and thieves (oh my!) are after you! The mere act of turning on an Internet-connected computer can put you, your family, and your personal finances at risk by exposing you to viruses, scam artists, hackers, identity thieves, and spammers. How do you fight back? Absolute Beginner's Guide to Security, Spam, Spyware and Viruses is your first line of defense.

Clear, easy-to-understand definitions of viruses, spyware, and hackers will help you understand what you're up against everytime you go online. Then, you'll learn about other threats, such as identity theft, phishing, and other potential dangers you'll face in your everyday computing. Find out how to search out and destroy spyware, malware and other viscious programs that could potentially harm your computer. Then find out how to lock out hackers, spammers, and theives for good.
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Principles of Computer Security Lab Manual, Fourth Edition

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Practice the Computer Security Skills You Need to Succeed! 40+ lab exercises challenge you to solve problems based on realistic case studies Step-by-step scenarios require you to think critically Lab analysis tests measure your understanding of lab results Lab analysis tests measure your understanding of lab results Key term quizzes help build your vocabulary
In this Lab Manual, you'll practice Configuring workstation network connectivity Analyzing network communication Establishing secure network application communication using TCP/IP protocols Penetration testing with Nmap, metasploit, password cracking, Cobalt Strike, and other tools Defending against network application attacks, including SQL injection, web browser exploits, and email attacks Combatting Trojans, man-in-the-middle attacks, and steganography Hardening a host computer, using antivirus applications, and configuring firewalls Securing network communications with encryption, secure shell (SSH), secure copy (SCP), certificates, SSL, and IPsec Preparing for and detecting attacks Backing up and restoring data Handling digital forensics and incident response

Kingpin: How One Hacker Took Over the Billion-Dollar Cybercrime Underground

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Former hacker Kevin Poulsen has, over the past decade, built a reputation as one of the top investigative reporters on the cybercrime beat. In Kingpin, he pours his unmatched access and expertise into book form for the first time, delivering a gripping cat-and-mouse narrative—and an unprecedented view into the twenty-first century’s signature form of organized crime.

The word spread through the hacking underground like some unstoppable new virus: Someone—some brilliant, audacious crook—had just staged a hostile takeover of an online criminal network that siphoned billions of dollars from the US economy.
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Proactive Botnet Detection: Through Characterization of Distributed Denial of Service Attacks

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In this quantitative quasi-experimental study two distributed denial of service attacks were captured and the characteristics of the attacks were used to detect botnets by identifying egressing distributed denial of service attack packets at the source of the attack. A sample Dark DDoSer botnet was constructed and used to launch a distributed denial of service attack. The characteristics of the distributed denial of service attacks were used as the independent variables in a quasi-experiment where network traffic was monitored with Snort to detect DDoS packets. The dependent variable for the experiment was false positive alerts for the DDoS packets. The findings showed that the characteristics of a distributed denial of service attack can be used to pro-actively detect botnets through egress monitoring.