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Botnets and Distributed Denial of Service Attacks

, 2019
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Mimicking attack by botnet and detection at gateway

Peer-to-Peer Networking and Applications, 2020
In cyber world Botnets becoming more popular and great challenge to security. Attacker by using bot net taking legacy attacks towards new dimension. Existing Intrusion Prevention / Intrusion Detection (IPS/IDS) systems can detect botnets attacks by using anomaly detection methods (or) signature. To fly the radar of IDS/IPS systems Bot master creates an
V. Rama Krishna, R. Subhashini
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Botnet identification in randomized DDoS attacks

2016 24th European Signal Processing Conference (EUSIPCO), 2016
Recent variants of Distributed Denial-of-Service (DDoS) attacks leverage the flexibility of application-layer protocols to disguise malicious activities as normal traffic patterns, while concurrently overwhelming the target destination with a large request rate.
MATTA, Vincenzo, DI MAURO, MARIO, LONGO, Maurizio   +2 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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A Survey on Latest Botnet Attack and Defense

2011IEEE 10th International Conference on Trust, Security and Privacy in Computing and Communications, 2011
A botnet is a group of compromised computers, which are remotely controlled by hackers to launch various network attacks, such as DDoS attack and information phishing. Botnet has become a popular and productive tool behind many cyber attacks. Recently, the owners of some botnets, such as storm worm, torpig and conflicker, are employing fluxing ...
Lei Zhang, Shui Yu 0001, Di Wu 0050, Paul A. Watters   +3 more
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Heuristics for Detecting Botnet Coordinated Attacks

2010 International Conference on Availability, Reliability and Security, 2010
This paper studies the analysis on the Cyber Clean Center (CCC) Data Set 2009, consisting of raw packets captured more than 90 independent honeypots, in order for detecting behavior of downloads and the port-scans. The analyses show that some new features of the coordinated attacks performed by Botnet, e.g., some particular strings contained in packets
Kazuya Kuwabara, Hiroaki Kikuchi, Masato Terada, Masashi Fujiwara   +3 more
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Botnet Identification in DDoS Attacks With Multiple Emulation Dictionaries

IEEE Transactions on Information Forensics and Security, 2021
In a Distributed Denial of Service (DDoS) attack, a network ( botnet ) of dispersed agents ( bots ) sends requests to a website to saturate its resources. Since the requests are sent by automata, the typical way to detect them is to look for some repetition pattern or commonalities between requests of the same user or from different users.
Michele Cirillo, Mario Di Mauro, Vincenzo Matta, Marco Tambasco   +3 more
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Botnet Attack Detection using Machine Learning

2020 14th International Conference on Innovations in Information Technology (IIT), 2020
With the advancement of computers and technology, security threats are also evolving at a fast pace. Botnets are one such security threat which requires a high level of research and focus in order to be eliminated. In this paper, we use machine learning to detect Botnet attacks.
Mustafa Alshamkhany, Wisam Alshamkhany, Mohamed Mansour, Mueez Khan, Salam Dhou, Fadi A. Aloul   +5 more
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Android botnets for multi-targeted attacks

Journal of Computer Virology and Hacking Techniques, 2014
Today, mobile Botnets are well known in the IT security field. Whenever we talk about Botnets on mobile phones, we mostly deal with denial of service attacks (Kifayat and Wilson http://www.cms.livjm.ac.uk/pgnet2012/Proceedings/Papers/1569607737.pdf , 2012).
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A discovery of sequential attack patterns of malware in botnets

2010 IEEE International Conference on Systems, Man and Cybernetics, 2010
More than 90 independent honeypots have observed malware traffic at the Japanese tier-1 backbone. Typical attacks were made by multiple servers, coordinating to send many kinds of malware. This paper aims to discover some frequent new sequential attack patterns of malware.
Nur Rohman Rosyid, Masayuki Ohrui, Hiroaki Kikuchi, Pitikhate Sooraksa, Masato Terada   +4 more
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