Botnet Detection by Monitoring Common Network Behaviors: Botnet Detection by Monitoring Similar Communication Patterns

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Botnet is most widespread and occurs commonly in today‘s cyber attacks, resulting in serious threats to our network assets and organization’s properties. Botnets are collections of compromised computers (Bots) which are remotely controlled by its originator (BotMaster) under a common Command-and-Control (C&C) infrastructure. They are used to distribute commands to the Bots for malicious activities such as distributed denial-of-service (DDoS) attacks, spam and phishing. Most of the existing Botnet detection approaches concentrate only on particular Botnet command and control (C&C) protocols (e.g.,IRC,HTTP) and structures (e.g., centralized), and can become ineffective as Botnets change their structure and C&C techniques. In this book at first we provide taxonomy of Botnets C&C channels and evaluate well-known protocols which are being used in each of them. Then we proposed a new general detection framework which currently focuses on P2P based and IRC based Botnets. This proposed framework is based on definition of Botnets. Botnet has been defined as a group of bots that perform similar communication and malicious activity patterns within the same Botnet.

Data Reverse Engineering : Slaying the Legacy Dragon

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A straightforward guide to optimizing information assets in the networked enterprise, this book includes extended, unpublished case studies from major industry with thorough implementation guidance. The text is supported by many tables, flow charts and graphical models.

Illuminating Dark Networks: The Study of Clandestine Groups and Organizations (Structural Analysis in the Social Sciences)

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Some of the most important international security threats stem from terror groups, criminal enterprises, and other violent non-state actors (VNSAs). Because these groups are often structured as complex, dark networks, analysts have begun to use network science to study them. However, standard network tools were originally developed to examine companies, friendship groups, and other transparent networks. The inherently clandestine nature of dark networks dictates that conventional analytical tools do not always apply. Data on dark networks is incomplete, inaccurate, and often just difficult to find. Moreover, dark networks are often organized to undertake fundamentally different tasks than transparent networks, so resources and information may follow different paths through these two types of organizations. Given the distinctive characteristics of dark networks, unique tools and methods are needed to understand these structures. Illuminating Dark Networks explores the state of the art in methods to study and understand dark networks.

Cybercrime in Progress: Theory and prevention of technology-enabled offenses (Crime Science Series)

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The emergence of the World Wide Web, smartphones, and computers has transformed the world and enabled individuals to engage in crimes in a multitude of new ways. Criminological scholarship on these issues has increased dramatically over the last decade, as have studies on ways to prevent and police these offenses. This book is one of the first texts to provide a comprehensive review of research regarding cybercrime, policing and enforcing these offenses, and the prevention of various offenses as global change and technology adoption increases the risk of victimization around the world.

Drawing on a wide range of literature, Holt and Bossler offer an extensive synthesis of numerous contemporary topics such as theories used to account for cybercrime, policing in domestic and transnational contexts, cybercrime victimization and issues in cybercrime prevention. The findings provide a roadmap for future research in cybercrime, policing, and technology, and discuss key controversies in the existing research literature in a way that is otherwise absent from textbooks and general cybercrime readers.
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