A Hybrid Intrusion Detection System for Hierarchical Filtration of Anomalies
| Autor: | Pragma Kar, Kartick Chandra Mondal, Samiran Chattopadhyay, Gautam Mahapatra, Soumya Banerjee |
|---|---|
| Rok vydání: | 2018 |
| Předmět: |
Computer science
Decision tree 020206 networking & telecommunications Feature selection 02 engineering and technology Intrusion detection system 021001 nanoscience & nanotechnology computer.software_genre law.invention law 0202 electrical engineering electronic engineering information engineering Preprocessor False alarm Network intrusion detection Data mining Detection rate 0210 nano-technology computer Filtration |
| Zdroj: | Information and Communication Technology for Intelligent Systems ISBN: 9789811317415 |
| Popis: | Network Intrusion Detection System (NIDS) deals with perusal of network traffics for the revelation of malicious activities and network attacks. The diversity of approaches related to NIDS, however, is commensurable with the drawbacks associated with the techniques. In this paper, an NIDS has been proposed that aims at hierarchical filtration of intrusions. The experimental analysis has been performed using KDD Cup’99 and NSL-KDD, from which, it can be clearly inferred that the proposed technique detects the attacks with high accuracy rates, high detection rates, and low false alarm. The run-time analysis of the proposed algorithm depicts the feasibility of its usage and its improvement over existing algorithms. |
| Databáze: | OpenAIRE |
| Externí odkaz: |
|