Real-time Network Intrusion Detection Using Hadoop-Based Bayesian Classifier
Sanjai Veetil and Qigang Gao, Dalhousie University, Halifax, NS, Canada
Over the years, many networks hosted by large companies or organizations have been crippled by intrusions launched with minimal effort. Such attacks have caused the loss of millions of dollars for the company and created serious security threats. As a result, network administrators and security experts across the globe have barricaded their networks with expensive Intrusion Detection Systems (IDS) to detect and take action in dealing with various network attacks. There is still a very challenging task to develop a cost-effective approach that can deal with network intrusions. Furthermore, ...
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