1. A Graph-based Online Feature Selection to Improve Detection of New Attacks

Hajar Dastanpour; Ali Fanian

Volume 14, Issue 2 , July 2022, , Pages 115-130

http://dx.doi.org/10.22042/isecure.2022.14.2.1

Abstract
  Today, intrusion detection systems are used in the networks as one of the essential methods to detect new attacks. Usually, these systems deal with a broad set of data and many features. Therefore, selecting proper features and benefitting from previously learned knowledge is suitable for efficiently ...  Read More

2. Classification of encrypted traffic for applications based on statistical features

A. fanian; E. Mahdavi; H. Hassannejad

Volume 10, Issue 1 , January 2018, , Pages 29-43

http://dx.doi.org/10.22042/isecure.2018.95316.390

Abstract
  Traffic classification plays an important role in many aspects of network management such as identifying type of the transferred data, detection of malware applications, applying policies to restrict network accesses and so on. Basic methods in this field were using some obvious traffic features like ...  Read More

3. An efficient non-repudiation billing protocol in heterogeneous 3G-WLAN networks

A. fanian; F. Alamifar; M. Berenjkoub

Volume 6, Issue 2 , July 2014, , Pages 141-153

http://dx.doi.org/10.22042/isecure.2015.6.2.4

Abstract
  The wireless communication with delivering variety of services to users is growing rapidly in recent years. The third generation of cellular networks (3G), and local wireless networks (WLAN) are the two widely used technologies in wireless networks. 3G networks have the capability of covering a vast ...  Read More