JOURNAL ARTICLE
BoNC: Discovering and Classifying Novel Encrypted Botnet Traffic
Huancheng HuZiyun LiChristian Doerr
Year: 2025 Journal: IEEE Open Journal of the Communications Society Vol: 6 Pages: 10845-10860 Publisher: IEEE Communications Society
Keywords:
Botnet Encryption Set (abstract data type) Identification (biology) Key (lock) Cryptography
Metrics
0
Cited By
0.00
FWCI (Field Weighted Citation Impact)
51
Refs
0.70
Citation Normalized Percentile
Is in top 1%
Is in top 10%
Topics
Network Security and Intrusion Detection
Physical Sciences → Computer Science → Computer Networks and Communications
Internet Traffic Analysis and Secure E-voting
Physical Sciences → Computer Science → Artificial Intelligence
Advanced Malware Detection Techniques
Physical Sciences → Computer Science → Signal Processing
Related Documents
JOURNAL ARTICLE
Detecting encrypted botnet traffic
Han ZhangChristos PapadopoulosDan Massey
Year: 2013 Pages: 3453-3458
JOURNAL ARTICLE
Detecting encrypted botnet traffic
Han ZhangChristos PapadopoulosDan Massey
Year: 2013 Vol: 5789 Pages: 163-168
JOURNAL ARTICLE
An Novel Hybrid Method for Effectively Classifying Encrypted Traffic
Guanglu SunYibo XueYingfei DongDongsheng WangChenglong Li
Year: 2010 Pages: 1-5
JOURNAL ARTICLE
Discovering new indicators for botnet traffic detection
Alexander AdamovVladimir HahanovAnders Carlsson
Year: 2014 Pages: 1-5
JOURNAL ARTICLE
Botnet protocol inference in the presence of encrypted traffic
Lorenzo De CarliRuben TorresGaspar Modelo-HowardAlok TongaonkarSomesh Jha
Year: 2017 Pages: 1-9