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    <p>I study in the same subject. Intrusion detection and machine learning. It is rather broad subject. I will answer more about data pre-processing and feature construction point of view. Neural Network part is different story altogether.</p> <p>First of all, this area is heavily commercialized therefore there is almost no open source code examples. A lot things are done commercially in a closed ecosystem.</p> <p>From academic perspective: There is a big data set problem. DK99C (Darpa - KDD99 data set) exists but it is very old. KDD99 dataset is constructed from DARPA tcpdumps. They used bro IDS , tcpdump api to construct features. From my perspective it is a lot harder to create features from raw tcpdump than working with machine learning algorithms (Neural Network) on ready features.</p> <p>Read this article to learn more about how it (KDD99) is constructed</p> <pre><code>Article (Lee2000framework) Lee, W. &amp; Stolfo, S. J. A framework for constructing features and models for intrusion detection systems ACM Trans. Inf. Syst. Secur., ACM, 2000, 3, 227-261 </code></pre> <p>Read this article and its presentation to learn why this subject is a hard problem to study.</p> <pre><code> Inproceedings (Sommer2010Outside) Sommer, R. &amp; Paxson, V. Outside the Closed World: On Using Machine Learning for Network Intrusion Detection Proceedings of the 2010 IEEE Symposium on Security and Privacy, IEEE Computer Society, 2010, 305-316 </code></pre> <p>Read this article to see how most academics work in this subject. A bit disappointing really.</p> <pre><code>Article (Tavallaee2010Toward) Tavallaee, M.; Stakhanova, N. &amp; Ghorbani, A. Toward Credible Evaluation of Anomaly-Based Intrusion-Detection Methods Systems, Man, and Cybernetics, Part C: Applications and Reviews, IEEE Transactions on, 2010, 40, 516 -524 </code></pre> <p>Read this why DK99C is considered harmful. It is harmful but no other credible dataset exists.</p> <pre><code>Article (Brugger2007KDD) Brugger, S. KDD Cup’99 dataset (Network Intrusion) considered harmful KDnuggets newsletter, 2007, 7, 15 </code></pre> <p>Read this about taxonomy of IDS data pre processing</p> <pre><code>Article (Davis2011Data) Davis, J. J. &amp; Clark, A. J. Data preprocessing for anomaly based network intrusion detection: A review Computers &amp; Security, 2011, 30, 353 - 375 </code></pre>
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    1. POBuilding Intrusion Detection System but from where to begin
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    1. USAtilla Ozgur
    1. USAtilla Ozgur
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    1. COThank you for your answer Atilla Ozgur. I will comment again after reading all those articles also It will be better if you provide me your mailing address for further doubts. Thanks again...
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      1. USHemang Rami
    2. CO@HemangRami I am subscribed to IDS and Machine learning questions in stackexchange network. If you are in a doubt, ask a question here. Some of them may be better suited to other networks. It will be a discussion for all of us. If necessary we can talk in a chat.
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      1. USAtilla Ozgur
    3. COyeah sure. I too wann chat with you.
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