A two-phase sequential pattern mining framework to detect stealthy P2P botnets-Reference-Cited by-同舟云学术

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A two-phase sequential pattern mining framework to detect stealthy P2P botnets

Published:2020-12 Issue: Volume:55 Page:102645
ISSN:2214-2126
Container-title:Journal of Information Security and Applications
language:en
Short-container-title:Journal of Information Security and Applications

Author:

Daneshgar Fateme Faraji,Abbaspour Maghsoud

Publisher

Elsevier BV

Subject

Computer Networks and Communications,Safety, Risk, Reliability and Quality,Software

Reference47 articles.

1. Botnets: A survey;Silva;Comput Netw,2013

2. A systematic study on peer-to-peer botnets;Wang,2009

3. Measurements and mitigation of peer-to-peer-based botnets: A case study on storm worm;Holz;LEET,2008

4. Analysis of the storm and nugache trojans: P2p is here;Stover;USENIX Login,2007

5. Tdl-4 top boty,2011

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2. B-CAT: a model for detecting botnet attacks using deep attack behavior analysis on network traffic flows;Journal of Big Data;2024-04-10

3. Botnet sequential activity detection with hybrid analysis;Egyptian Informatics Journal;2024-03

4. Botnet Dataset Overview Using Statistical Approach Based on Time Gap Activity Analysis;2023 11th International Symposium on Digital Forensics and Security (ISDFS);2023-05-11

5. Robust SSRL analysis framework for intervention strategy construction in CSCL environment;Heliyon;2023-03

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