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https://dspace.iiti.ac.in/handle/123456789/4572
Title: | Network Security Systems Log Analysis for Trends and Insights: A Case Study |
Authors: | Meena, Amit Kumar Hubballi, Neminath Singh, Yogendra Bhatia, Vimal |
Keywords: | Computer crime;Computer system firewalls;Intrusion detection;Open systems;Peer to peer networks;Domain name system;Intrusion Detection Systems;Intrusion detection/prevention systems;Network administrator;Network connection;Peer-to-peer application;Security appliances;Vulnerable systems;Network security |
Issue Date: | 2020 |
Publisher: | IEEE Computer Society |
Citation: | Meena, A. K., Hubballi, N., Singh, Y., Bhatia, V., & Franke, K. (2020). Network security systems log analysis for trends and insights: A case study. Paper presented at the International Symposium on Advanced Networks and Telecommunication Systems, ANTS, , 2020-December doi:10.1109/ANTS50601.2020.9342776 |
Abstract: | Network perimeter security appliances like firewalls, intrusion detection systems mediate communications and log details pertaining to various events. Logs generated by these systems are used to identify security compromises, vulnerable systems, mis-configurations, etc and serve as a valuable asset for a network administrator. In this paper, we report on a study conducted using logs generated by production level security appliances deployed in our university network. In particular, we process the logs generated by firewall, intrusion detection/prevention system and domain name system service to identify trends and gain insights. We process 71 million network connection records which includes 95.7 thousand alerts generated by an open source intrusion detection system collected over a period of 31 days and derive statistics to understand end host level behavioral trends. In our analysis we compare hosts which are known to be infected with malware or running Peer-to-Peer applications and remaining using a set of relevant parameters and identify clearly differentiated behavioral trends. © 2020 IEEE. |
URI: | https://doi.org/10.1109/ANTS50601.2020.9342776 https://dspace.iiti.ac.in/handle/123456789/4572 |
ISBN: | 9781728192901 |
ISSN: | 2153-1684 |
Type of Material: | Conference Paper |
Appears in Collections: | Department of Computer Science and Engineering |
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