SSENet-2014 Dataset: A Dataset for Detection of Multiconnection Attacks

作者: Sangeeta Bhattacharya , S. Selvakumar

DOI: 10.1109/ICECCS.2014.100

关键词: k-means clusteringBox plotCluster analysisFlooding (computer networking)Benchmark (computing)Self-organizing mapData miningComputer scienceIntrusion detection system

摘要: Multiconnection attacks such as DoS, probe, flooding, etc., have become common and attackers come out with sophisticated techniques well tools to launch variants of attacks. This growing amount attack sophistication has given rise the increasing need efficient detection algorithm. To test compare performances proposed algorithms, benchmark datasets are required represent dynamic nature network. Though certain available, most either synthetic or contains suppressed information. In this paper, we introduce SSENet-2014 dataset which is generated in a real network environment. The were using while carrying normal activities. description given. Then, comparison carried popular intrusion dataset, 10% KDD Cup 99. Two clustering approaches K Means Self Organizing Map (SOM) been used our experiments. Box plot analyze attributes two datasets. results confirm variability existing attribute values 99 dataset. Also, it can be seen that from varies considerably simulated traffic.

参考文章(6)
Matthew V. Mahoney, Philip K. Chan, An analysis of the 1999 DARPA/lincoln Laboratory evaluation data for network anomaly detection recent advances in intrusion detection. pp. 220- 237 ,(2003) , 10.1007/978-3-540-45248-5_13
H. Güneş Kayacık, Nur Zincir-Heywood, Analysis of Three Intrusion Detection System Benchmark Datasets Using Machine Learning Algorithms Intelligence and Security Informatics. pp. 362- 367 ,(2005) , 10.1007/11427995_29
John McHugh, Testing Intrusion detection systems ACM Transactions on Information and System Security. ,vol. 3, pp. 262- 294 ,(2000) , 10.1145/382912.382923
Ali Shiravi, Hadi Shiravi, Mahbod Tavallaee, Ali A. Ghorbani, Toward developing a systematic approach to generate benchmark datasets for intrusion detection Computers & Security. ,vol. 31, pp. 357- 374 ,(2012) , 10.1016/J.COSE.2011.12.012
A.R. Vasudevan, E. Harshini, S. Selvakumar, SSENet-2011: A Network Intrusion Detection System dataset and its comparison with KDD CUP 99 dataset asian himalayas international conference on internet. pp. 1- 5 ,(2011) , 10.1109/AHICI.2011.6113948
Alessandro Finamore, Marco Mellia, Michela Meo, Maurizio M. Munafo, Politecnico Di Torino, Dario Rossi, Experiences of Internet traffic monitoring with tstat IEEE Network. ,vol. 25, pp. 8- 14 ,(2011) , 10.1109/MNET.2011.5772055