A Analytical Survey on Botnet and Detection Methods

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HASANI AHANGAR M.R.; Jalaei R.

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Journal Paper

Paper Information

Journal: JOURNAL OF ELECTRONIC AND CYBER DEFENCE Year:2017 | Volume:4 | Issue:4 (16) Page(s): 25-46

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Information Journal Paper

Title

A Analytical Survey on Botnet and Detection Methods

Author(s)

HASANI AHANGAR M.R. | Jalaei R. | Issue Writer Certificate

Keywords

BotnetQ1

BotmasterQ1

Communication ProtocolsQ1

AttacksQ1

Honey NetQ1

IDSQ1

Abstract

Botnets have recently been identified as one of the most important and emerging threats to the security with hundreds of millions of computers compromised and infected in cyber space. Botnets are a network of compromised hosts or bots that are under the control of an attacker. They are considered as a primary root-cause for most of the Attacks and fraudulent activities on the Internet, such as distributed denial of service (DDoS) Attacks, phishing, spamming, information theft, and so on. Some studies show that about between 16 to 25 percent of computers which are connected to the internet all over the world are infected by bots and controlled by attackers. This pape, discusses in detail about Botnet and related research including Botnet evolution, life-cycle, command and control models, Communication Protocols, Botnet detection methods, Botnet mechanisms and their models, possible Attacks performed by various types of Botnet. This paper also discusses the prominent research problems that have remained open and could be continued by researches.

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APA: Copy

HASANI AHANGAR, M.R., & Jalaei, R.. (2017). A Analytical Survey on Botnet and Detection Methods. JOURNAL OF ELECTRONIC AND CYBER DEFENCE, 4(4 (16) ), 25-46. SID. https://sid.ir/paper/243167/en

Vancouver: Copy

HASANI AHANGAR M.R., Jalaei R.. A Analytical Survey on Botnet and Detection Methods. JOURNAL OF ELECTRONIC AND CYBER DEFENCE[Internet]. 2017;4(4 (16) ):25-46. Available from: https://sid.ir/paper/243167/en

IEEE: Copy

M.R. HASANI AHANGAR, and R. Jalaei, “A Analytical Survey on Botnet and Detection Methods,” JOURNAL OF ELECTRONIC AND CYBER DEFENCE, vol. 4, no. 4 (16) , pp. 25–46, 2017, [Online]. Available: https://sid.ir/paper/243167/en

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