BOTNET DETECTION FOR PEER TO PEER NETWORKS

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AZMI R.; GHOLINEZHAD M.; SABERI M.

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Journal Paper

Paper Information

Journal: JOURNAL OF ELECTRONIC AND CYBER DEFENCE Year:2016 | Volume:3 | Issue:4 (12) Page(s): 43-59

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Information Journal Paper

Title

BOTNET DETECTION FOR PEER TO PEER NETWORKS

Author(s)

AZMI R. | GHOLINEZHAD M. | SABERI M. | Issue Writer Certificate

Keywords

BOTNETQ1

BOTNET DETECTIONQ2

BOTQ2

PEER TO PEER BOTNETQ2

NETWORK FLOW ANALYSISQ2

Abstract

BOTNETs are the latest types of internet-scale malware in recent years that has been the greatest threats to the web servers. BOT is an infected computer by a malware that are controlled remotely by one or more human factors without the user’s knowledge. This controller agent called “bot master” and sometimes the infected system is called “victim”. Peer to peer BOTNET is one type of BOTNETs that use peer to peer protocols and detection of this type of BOTNET is more difficult than other types. Our suggested approach is a new method to detect such BOTNETs. This approach uses NETWORK FLOW ANALYSIS and clustering method in data mining to detect peer to peer BOTNETs. This approach is flow-based and compares the similarity between flows and K-Means clustering algorithm and eventually determines that the new traffic is an attack or not. This approach has good performance in detection of BOTNETs in flash crowd traffic and this characteristic is distinction of the suggested algorithm and similar algorithms. Finally, the suggested approach has been tested with different traffic.

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APA: Copy

AZMI, R., GHOLINEZHAD, M., & SABERI, M.. (2016). BOTNET DETECTION FOR PEER TO PEER NETWORKS. JOURNAL OF ELECTRONIC AND CYBER DEFENCE, 3(4 (12)), 43-59. SID. https://sid.ir/paper/243247/en

Vancouver: Copy

AZMI R., GHOLINEZHAD M., SABERI M.. BOTNET DETECTION FOR PEER TO PEER NETWORKS. JOURNAL OF ELECTRONIC AND CYBER DEFENCE[Internet]. 2016;3(4 (12)):43-59. Available from: https://sid.ir/paper/243247/en

IEEE: Copy

R. AZMI, M. GHOLINEZHAD, and M. SABERI, “BOTNET DETECTION FOR PEER TO PEER NETWORKS,” JOURNAL OF ELECTRONIC AND CYBER DEFENCE, vol. 3, no. 4 (12), pp. 43–59, 2016, [Online]. Available: https://sid.ir/paper/243247/en

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