Results 181 to 190 of about 3,020 (212)

Encrypted Botnet Detection Scheme

2014 Ninth International Conference on P2P, Parallel, Grid, Cloud and Internet Computing, 2014
Botnets have started using Information obfuscation techniques include encryption to evade detection. In order to detect encrypted botnet traffic, in this paper we see detection of encrypted botnet traffic from normal network traffic as traffic classification problem.
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BotRevealer: Behavioral Detection of Botnets based on Botnet Life-cycle.

ISC Int. J. Inf. Secur., 2017
Nowadays, botnets are considered as essential tools for planning serious cyber attacks. Botnets are used to perform various malicious activities such as DDoS attacks and sending spam emails. Different approaches are presented to detect botnets; however most of them may be ineffective when there are only a few infected hosts in monitored network, as ...
Khoshhalpour, Ehsan, Shahriari, Hamid Reza   +1 more
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A Survey on P2P Botnet Detection

2011
Recently cyber-attacks in Internet using botnets have been increased. Also, crimes involved in monetary profits through cyber-attacks have been continuously increased. Attackers can use P2P botnets to launch various attacks such as Distributed Denial of Service (DDoS), malware propagation, and so on.
Kyoung-Soo Han, Eul Gyu Im
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Discovering the Botnet Detection Techniques

2010
Botnet is a network of compromised computers. It just fellow the master slave concept. Bots are comprised computers and do the tasks what ever their master orders them. Internet Relay Chat (IRC) is used for the communication between the master and bots. Information is also encrypted to avoid the effect of third party.
Aneel Rahim, Fahad Bin Muhaya
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Botnet Detection Based on Anomaly and Community Detection

IEEE Transactions on Control of Network Systems, 2017
We introduce a novel two-stage approach for the important cybersecurity problem of detecting the presence of a botnet and identifying the compromised nodes (the bots), ideally before the botnet becomes active. The first stage detects anomalies by leveraging large deviations of an empirical distribution. We propose two approaches to create the empirical
Jing Wang 0044, Ioannis Ch. Paschalidis
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Botnet Detection Approach for the Distributed Systems

2019 10th IEEE International Conference on Intelligent Data Acquisition and Advanced Computing Systems: Technology and Applications (IDAACS), 2019
This article presents the technique for botnet detection using the distributed systems in the local area network. Distributed system contains host and network levels. At the host level, the botnets detection is based on Bayes classification. In order to perform the classification, the classes and subclasses were constructed on the basis of botnets ...
Oleg Savenko, Anatoliy Sachenko, Sergii Lysenko, George Markowsky   +3 more
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Supervised detection of IoT botnet attacks

Proceedings of the Second International Conference on Data Science, E-Learning and Information Systems, 2019
Nowadays, more and more people start using IoT devices, which raise the threats of compromising these devices, since it's easily manipulated and hacked than desktop devices. This fact increased the number of cyberattacks that relay on IoT-based Botnet attacks.
Hadeel Alazzam, Abdulsalam Alsmady, Amaal R. Al Shorman   +2 more
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Lifelong Autonomous Botnet Detection

GLOBECOM 2022 - 2022 IEEE Global Communications Conference, 2022
Alex Medeiros de Araújo, Anderson Bergamini de Neira, Michele Nogueira   +2 more
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Detection DNS Tunneling Botnets

2021 11th IEEE International Conference on Intelligent Data Acquisition and Advanced Computing Systems: Technology and Applications (IDAACS), 2021
Bohdan Savenko, Sergii Lysenko, Kira Bobrovnikova, Oleg Savenko, George Markowsky   +4 more
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Automatically Generating Models for Botnet Detection

2009
A botnet is a network of compromised hosts that is under the control of a single, malicious entity, often called the botmaster. We present a system that aims to detect bots, independent of any prior information about the command and control channels or propagation vectors, and without requiring multiple infections for correlation.
Peter Wurzinger, Leyla Bilge, Thorsten Holz, Jan Goebel, Christopher Kruegel, Engin Kirda   +5 more
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