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Category :
Languages : en
Pages :
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Botnets, which are networks of compromised machines that are controlled by one or a group of attackers, have emerged as one of the most serious security threats on the Internet. With an army of bots at the scale of tens of thousands of hosts or even as large as 1.5 million PCs, the computational power of botnets can be leveraged to launch large-scale DDoS (Distributed Denial of Service) attacks, sending spamming emails, stealing identities and financial information, etc. As detection and mitigation techniques against botnets have been stepped up in recent years, attackers are also constantly improving their strategies to operate these botnets. The first generation of botnets typically employ IRC (Internet Relay Chat) channels as their command and control (C & C) centers. Though simple and easy to deploy, the centralized C & C mechanism of such botnets has made them prone to being detected and disabled. Against this backdrop, peer-to-peer (P2P) based botnets have emerged as a new generation of botnets which can conceal their C & C communication. Recently, P2P networks have emerged as a covert communication platform for malicious programs known as bots. As popular distributed systems, they allow bots to communicate easily while protecting the botmaster from being discovered. Existing work on P2P-based hotnets mainly focuses on measurement of botnet sizes. In this work, through simulation, we study extensively the structure of P2P networks running Kademlia, one of a few widely used P2P protocols in practice. Our simulation testbed incorporates the actual code of a real Kademlia client software to achieve great realism, and distributed event-driven simulation techniques to achieve high scalability. Using this testbed, we analyze the scaling, reachability, clustering, and centrality properties of P2P-based botnets from a graph-theoretical perspective. We further demonstrate experimentally and theoretically that monitoring bot activities in a P2P network is difficult, suggesting that the P2P mechanism indeed helps botnets hide their communication effectively. Finally, we evaluate the effectiveness of some potential mitigation techniques, such as content poisoning, Sybil-based and Eclipse-based mitigation. Conclusions drawn from this work shed light on the structure of P2P botnets, how to monitor bot activities in P2P networks, and how to mitigate botnet operations effectively.
Author:
Publisher:
ISBN:
Category :
Languages : en
Pages :
Get Book Here
Book Description
Botnets, which are networks of compromised machines that are controlled by one or a group of attackers, have emerged as one of the most serious security threats on the Internet. With an army of bots at the scale of tens of thousands of hosts or even as large as 1.5 million PCs, the computational power of botnets can be leveraged to launch large-scale DDoS (Distributed Denial of Service) attacks, sending spamming emails, stealing identities and financial information, etc. As detection and mitigation techniques against botnets have been stepped up in recent years, attackers are also constantly improving their strategies to operate these botnets. The first generation of botnets typically employ IRC (Internet Relay Chat) channels as their command and control (C & C) centers. Though simple and easy to deploy, the centralized C & C mechanism of such botnets has made them prone to being detected and disabled. Against this backdrop, peer-to-peer (P2P) based botnets have emerged as a new generation of botnets which can conceal their C & C communication. Recently, P2P networks have emerged as a covert communication platform for malicious programs known as bots. As popular distributed systems, they allow bots to communicate easily while protecting the botmaster from being discovered. Existing work on P2P-based hotnets mainly focuses on measurement of botnet sizes. In this work, through simulation, we study extensively the structure of P2P networks running Kademlia, one of a few widely used P2P protocols in practice. Our simulation testbed incorporates the actual code of a real Kademlia client software to achieve great realism, and distributed event-driven simulation techniques to achieve high scalability. Using this testbed, we analyze the scaling, reachability, clustering, and centrality properties of P2P-based botnets from a graph-theoretical perspective. We further demonstrate experimentally and theoretically that monitoring bot activities in a P2P network is difficult, suggesting that the P2P mechanism indeed helps botnets hide their communication effectively. Finally, we evaluate the effectiveness of some potential mitigation techniques, such as content poisoning, Sybil-based and Eclipse-based mitigation. Conclusions drawn from this work shed light on the structure of P2P botnets, how to monitor bot activities in P2P networks, and how to mitigate botnet operations effectively.
Author: Shankar Karuppayah
Publisher: Springer
ISBN: 9811090505
Category : Computers
Languages : en
Pages : 105
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Book Description
This book presents current research in the area of advanced monitoring in P2P botnets, and uses a dual-perspective approach to discuss aspects of botnet monitoring in-depth. First, from the perspective of a defender, e.g. researchers, it introduces advanced approaches to successfully monitor botnets, taking the presence of current botnet anti-monitoring mechanisms into consideration. Then, adopting a botmaster perspective to anticipate the advances in future botnets, it introduces advanced measures to detect and prevent monitoring activities. All the proposed methods were evaluated either using real-world data or in a simulation scenario. In addition to providing readers with an in-depth understanding of P2P botnets, the book also analyzes the implications of the various design choices of recent botnets for effectively monitoring them. It serves as an excellent introduction to new researchers and provides a useful review for specialists in the field.
Author: Peter Stavroulakis
Publisher: Springer Science & Business Media
ISBN: 3642041175
Category : Technology & Engineering
Languages : en
Pages : 863
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Book Description
At its core, information security deals with the secure and accurate transfer of information. While information security has long been important, it was, perhaps, brought more clearly into mainstream focus with the so-called “Y2K” issue. Te Y2K scare was the fear that c- puter networks and the systems that are controlled or operated by sofware would fail with the turn of the millennium, since their clocks could lose synchronization by not recognizing a number (instruction) with three zeros. A positive outcome of this scare was the creation of several Computer Emergency Response Teams (CERTs) around the world that now work - operatively to exchange expertise and information, and to coordinate in case major problems should arise in the modern IT environment. Te terrorist attacks of 11 September 2001 raised security concerns to a new level. Te - ternational community responded on at least two fronts; one front being the transfer of reliable information via secure networks and the other being the collection of information about - tential terrorists. As a sign of this new emphasis on security, since 2001, all major academic publishers have started technical journals focused on security, and every major communi- tions conference (for example, Globecom and ICC) has organized workshops and sessions on security issues. In addition, the IEEE has created a technical committee on Communication and Information Security. Te ?rst editor was intimately involved with security for the Athens Olympic Games of 2004.
Author: Wenke Lee
Publisher: Springer Science & Business Media
ISBN: 0387687688
Category : Computers
Languages : en
Pages : 178
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Book Description
Botnets have become the platform of choice for launching attacks and committing fraud on the Internet. A better understanding of Botnets will help to coordinate and develop new technologies to counter this serious security threat. Botnet Detection: Countering the Largest Security Threat consists of chapters contributed by world-class leaders in this field, from the June 2006 ARO workshop on Botnets. This edited volume represents the state-of-the-art in research on Botnets.
Author: Shaojun Zhang
Publisher:
ISBN:
Category : Computer networks
Languages : en
Pages : 122
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Book Description
"Botnets have been identified as one of the most dangerous threats through the Internet. A botnet is a collection of compromised computers called zombies or bots controlled by malicious machines called botmasters through the command and control (C&C) channel. Botnets can be used for plenty of malicious behaviours, including DDOS, Spam, stealing sensitive information to name a few, all of which could be very serious threats to parts of the Internet. In this thesis, we propose a peer-to-peer (P2P) botnet detection approach based on 30-second conversation. To the best of our knowledge, this is the first time conversation-based features are used to detect P2P botnets. The features extracted from conversations can differentiate P2P botnet conversations from normal conversations by applying machine learning techniques. Also, feature selection processes are carried out in order to reduce the dimension of the feature vectors. Decision tree (DT) and support vector machine (SVM) are applied to classify the normal conversations and the P2P botnet conversations. Finally, the results from different classifiers are combined based on the probability models in order to get a better result."--Page ii.
Author: Heli Tiirmaa-Klaar
Publisher: Springer Science & Business Media
ISBN: 1447152166
Category : Computers
Languages : en
Pages : 105
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Book Description
Malware poses one of the major threats to all currently operated computer systems. The scale of the problem becomes obvious by looking at the global economic loss caused by different kinds of malware, which is estimated to be more than US$ 10 billion every year. Botnets, a special kind of malware, are used to reap economic gains by criminals as well as for politically motivated activities. In contrast to other kinds of malware, botnets utilize a hidden communication channel to receive commands from their operator and communicate their current status. The ability to execute almost arbitrary commands on the infected machines makes botnets a general-purpose tool to perform malicious cyber-activities. Botnets provides a comprehensive analysis of the topic, and comprises both technical and non-technical sections written by leading cybersecurity experts. The non-technical section addresses how botnet infrastructure could be exploited for national security and cybercrime purposes. It approaches the subject as a public policy issue and analyzes the phenomenon of botnets from national security, law enforcement and regulatory policy perspectives, and makes recommendations for policy-makers on different public policies, highlighting the need for international response mechanisms. The technical section provides insight into current botnet techniques and discusses state-of-the-art countermeasures to combat the botnet threat in detail. It includes new detection methods as well as different approaches to actively compromise running botnets.
Author: Craig Schiller
Publisher: Elsevier
ISBN: 0080500234
Category : Computers
Languages : en
Pages : 481
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Book Description
The book begins with real world cases of botnet attacks to underscore the need for action. Next the book will explain botnet fundamentals using real world examples. These chapters will cover what they are, how they operate, and the environment and technology that makes them possible. The following chapters will analyze botnets for opportunities to detect, track, and remove them. Then the book will describe intelligence gathering efforts and results obtained to date. Public domain tools like OurMon, developed by Jim Binkley of Portland State University, will be described in detail along with discussions of other tools and resources that are useful in the fight against Botnets. This is the first book to explain the newest internet threat - Botnets, zombie armies, bot herders, what is being done, and what you can do to protect your enterprise Botnets are the most complicated and difficult threat the hacker world has unleashed - read how to protect yourself
Author: Georgios Kambourakis
Publisher: CRC Press
ISBN: 1000639975
Category : Computers
Languages : en
Pages : 426
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Book Description
This book provides solid, state-of-the-art contributions from both scientists and practitioners working on botnet detection and analysis, including botnet economics. It presents original theoretical and empirical chapters dealing with both offensive and defensive aspects in this field. Chapters address fundamental theory, current trends and techniques for evading detection, as well as practical experiences concerning detection and defensive strategies for the botnet ecosystem, and include surveys, simulations, practical results, and case studies.
Author: Suyu Gu
Publisher:
ISBN:
Category : Computer networks
Languages : en
Pages : 174
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Book Description
A botnet, which is created to conduct large-scale illegal activities, has become a serious threat to the Internet. Recently, botnets started to utilize a decentralized structure in their command and control channel, which is a more robust and resilient communication infrastructure. P2P botnets, created based on a variety of P2P protocols, are the most representative decentralized botnets and have caused great loss to Internet users. Although a lot of botnet detection techniques have been developed, the existing P2P botnet detection methods are still limited. In this thesis, we present a novel P2P botnet detection system based on an analysis of network behavior. The proposed detection system consists of three main components: Network Packets Capturing, Node Feature Extraction, and Online Classifier. In this thesis, we explain the proposed algorithms and implementation methods for each component in detail. Moreover, in this thesis we also present two novel combined classifiers that integrate supervised machine learning and unsupervised machine learning techniques. One, called Sequential Combined Classifier aims at further enhancing the detection rate; the other one, called Parallel Combined Classifier aims at detecting unknown P2P botnet traffic. Based on three real-world network traffic trace sets (i.e. Storm trace, Waledac trace, and normal traffic trace), a series of evaluation experiments are conducted and their results are reported in this thesis. Several contributions from the evaluation results include (1) identification of an appropriate time window size that allows to provide a better detection performance when used in system's packets capturing module; (2) optimized configuration for system's online classifier in each time window size; and (3) evaluated the effectiveness of two proposed combined classifiers and verified their ability to improve detection rate or detect unknown botnet traffic. According experimental results, we obtain the detection accuracy of 99.0% and the false positive rate of 0.1%.
Author:
Publisher:
ISBN:
Category :
Languages : en
Pages : 40
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Book Description