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논문검색

Developing a hybrid method of Hidden Markov Models and C5.0 as a Intrusion Detection System

초록

영어

In today’s communication system computer and information security is a major concern as these are vulnerable to potential attackers. Because to increase the potential of advanced computer communication and distributed systems leads to attack on the data flow over the network which affects integrity and availability of information greatly. Therefore, the security of Web applications is a key topic in computer security. This paper presents two hybrid approaches for modeling IDS. C5.0 and HMM are combined as a hierarchical hybrid intelligent system model (C5.0-HMM). Empirical results with KDD Cup 99 Intrusion data illustrate that the proposed hybrid systems provide more accurate intrusion detection systems.

목차

Abstract
 1. Introduction
 2. Related Works
  2.1. Data Mining
  2.2. C5.0
  2.3. Hidden Markov Model
 3. Research Method
  3. 1. Data Collection
  3.2. Data Processing
  3.3. Model Construction
 4. Implementation of Proposed Approach
 5. Conclusion
 References

저자정보

  • Mahsa Khosronejad Department of Software Engineering, Islamic Azad University, Mashhad branch, Mashhad, Iran
  • Elham Sharififar Department of Software Engineering, Islamic Azad University, Mashhad branch, Mashhad, Iran
  • Hasan Ahmadi Torshizi Department of Software Engineering, Islamic Azad University, Mashhad branch, Mashhad, Iran
  • Mehrdad Jalali Department of Software Engineering, Islamic Azad University, Mashhad branch, Mashhad, Iran

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