Title
Botnet detection techniques: review, future trends, and issues.
Abstract
In recent years, the Internet has enabled access to widespread remote services in the distributed computing environment; however, integrity of data transmission in the distributed computing platform is hindered by a number of security issues. For instance, the botnet phenomenon is a prominent threat to Internet security, including the threat of malicious codes. The botnet phenomenon supports a wide range of criminal activities, including distributed denial of service (DDoS) attacks, click fraud, phishing, malware distribution, spam emails, and building machines for illegitimate exchange of information/materials. Therefore, it is imperative to design and develop a robust mechanism for improving the botnet detection, analysis, and removal process. Currently, botnet detection techniques have been reviewed in different ways; however, such studies are limited in scope and lack discussions on the latest botnet detection techniques. This paper presents a comprehensive review of the latest state-of-the-art techniques for botnet detection and figures out the trends of previous and current research. It provides a thematic taxonomy for the classification of botnet detection techniques and highlights the implications and critical aspects by qualitatively analyzing such techniques. Related to our comprehensive review, we highlight future directions for improving the schemes that broadly span the entire botnet detection research field and identify the persistent and prominent research challenges that remain open.
Year
DOI
Venue
2014
10.1631/jzus.C1300242
Journal of Zhejiang University: Science C
Keywords
Field
DocType
Botnet detection, Anomaly detection, Network security, Attack, Defense, Taxonomy, TP393.08
Anomaly detection,Internet security,Phishing,Computer security,Botnet,Computer science,Network security,Click fraud,Malware,The Internet
Journal
Volume
Issue
ISSN
15
11
1869-196X
Citations 
PageRank 
References 
1
0.34
103
Authors
16
Search Limit
100103
Name
Order
Citations
PageRank
ahmad110.34
karim260.79
rosli310.34
bin410.34
salleh510.34
muhammad610.34
Muhammad Shiraz741719.28
Syed Adeel Ali Shah8845.89
Syed Adeel Ali Shah9845.89
adeel1090.81
ali1190.81
Irfan Ullah Awan1271187.15
Irfan Ullah Awan1371187.15
Nor Badrul Anuar1463536.94
Nor Badrul Anuar1563536.94
badrul1610.34