A study of Intrusion Detection System for Cloud Network Using FC-ANN Algorithm

  Gayatri K. Chaturvedi,  Arjun K. Chaturvedi,  Varsha R.More

In our world of ever-increasing Internet connectivity there is an on-going threat of intrusion or denial of service attacks. These intrusions may bring all kinds of misuses. Intrusion Detection Systems (IDS) play a very important role in the security of today's networks by detecting when an attack is happening. Due to increasing incidents of cyber attacks, building effective intrusion detection systems are essential for protecting information systems security. Intrusion detection attempts to detect computer attacks by examining various data records observed in processes on the network. Detection precision and detection stability are two key indicators to evaluate intrusion detection systems (IDS). In early stage in order to enhance the detection precision and detection stability, the research focuses lies in using rule-based expert systems and statistical approaches. But when encountering larger datasets, the results of rule-based expert systems and statistical approaches become worse. Thus a lot of data mining techniques have been introduced to solve the problem. Among these techniques Artificial Neural Network (ANN) is one of the widely used techniques and has been successful in solving many complex practical problems and ANN has been successfully applied into IDS. However, the main drawbacks of ANN-based IDS exist in two aspects: (1) lower detection precision and (2) weaker detection stability. The main reason of above problem is that distribution of different types of attack is imbalanced. To solve the above two problems we propose FC-ANN (Fuzzy-Clustering Artificial Neural Network) to enhance the detection precision for low frequent attacks and detection stability.

Keywords- Cloud computing, Intrusion detection system, Attacks, security

Unique Identification Number - IJEDR1603080
Page Number(s) - 482-487
Pubished in - Volume 4 | Issue 3 | August 2016
DOI (Digital Object Identifier) -   
Publisher - IJEDR (ISSN - 2321-9939)

  Gayatri K. Chaturvedi,  Arjun K. Chaturvedi,  Varsha R.More,   "A study of Intrusion Detection System for Cloud Network Using FC-ANN Algorithm", International Journal of Engineering Development and Research (IJEDR), ISSN:2321-9939, Volume.4, Issue 3, pp.482-487, August 2016, Available at :http://www.ijedr.org/papers/IJEDR1603080.pdf