Results 191 to 200 of about 1,097,826 (233)

Malicious traffic analysis using Markov chain

Proceedings of the International Conference on Engineering and Information Technology for Sustainable Industry, 2022
Ryandy Djap, Charles Lim, Kalpin Erlangga Silaen   +2 more
openaire   +1 more source

Deep Learning for Classifying Malicious Network Traffic

2018
As the sophistication of cyber malicious attacks increase, so too must the techniques used to detect and classify such malicious traffic in these networks. Deep learning has been deployed in many application domains as it is able to learn patterns from large feature sets. Given that the implementation of deep learning for network traffic classification
K. Millar, A. Cheng, H. G. Chew, C.-C. Lim   +3 more
openaire   +1 more source

ECNet: Robust Malicious Network Traffic Detection With Multi-View Feature and Confidence Mechanism

IEEE Transactions on Information Forensics and Security
Malicious traffic detection in the real world faces the challenge of dealing with a diverse mix of known, unknown, and variant malicious traffic, requiring methods that are accurate, generalizable, and reliable for identifying both known and emerging ...
Xueying Han, Song Liu, Junrong Liu, Bo-Sian Jiang, Zhigang Lu, Baoxu Liu   +5 more
semanticscholar   +1 more source

ContraMTD: An Unsupervised Malicious Network Traffic Detection Method based on Contrastive Learning

The Web Conference
Malicious traffic detection has been a focal point in the field of network security, and deep learning-based approaches are emerging as a new paradigm.
Xueying Han, Susu Cui, Jian Qin, Song Liu, Bo-Sian Jiang, Cong Dong, Zhigang Lu, Baoxu Liu   +7 more
semanticscholar   +1 more source

Artificial Intelligence Based Malicious Traffic Detection

2022
Lakshmi N. K. Meda, Hamid Jahankhani
openaire   +1 more source

A novel methodology for malicious traffic detection in smart devices using BI-LSTM–CNN-dependent deep learning methodology

Neural computing & applications (Print), 2023
T. Anitha, S. Aanjankumar, S. Poonkuntran, Anand Nayyar   +3 more
semanticscholar   +1 more source

Graph based encrypted malicious traffic detection with hybrid analysis of multi-view features

Information Sciences, 2023
Yueping Hong, Qi Li, Yanqing Yang, Meng Shen   +3 more
semanticscholar   +1 more source

BoAu: Malicious traffic detection with noise labels based on boundary augmentation

Computers & security, 2023
Qing-jun Yuan, Chang Liu, Wentao Yu, Yuefei Zhu, G. Xiong, Yongjuan Wang, Gaopeng Gou   +6 more
semanticscholar   +1 more source

Detection, characterization, and profiling DoH Malicious traffic using statistical pattern recognition

International Journal of Information Security, 2023
Sepideh Niktabe, Arash Habibi Lashkari, Dilli P. Sharma   +2 more
semanticscholar   +1 more source

Malicious Traffic Classification Using Convolutional Neural Network

2023 14th International Conference on Computing Communication and Networking Technologies (ICCCNT), 2023
Nitin Choudhury, Deepjyoti Deka, Aryan Tewari, Soham Gaur, Satyajit Sarmah, Vangmayee Sharda, Sitesh Gautam   +6 more
openaire   +1 more source