Detection of Attacks for IDS using Association Rule Mining Algorithm

ABSTRACT

Intrusion detection system (IDS) plays a vital role in network infrastructure. Organizations have to protect the data from various attacks which are frequently affecting the networks. In this paper, we propose Association rule mining algorithm (ARMA) for detecting various network attacks such as smurf, neptune, mailbomb, back, apache2, processtable, guess_passwd, snmpguess, ipsweep, and nmap. KDD dataset contains three components, namely, “corrected dataset”, “10% dataset”, and “full dataset”, are employed for experimentation. Performances of the proposed ARMA are evaluated using the corrected dataset for training and other two datasets for testing. Java Development Kit (JDK) is used to conduct experiments and the results show significant improvement in the detection rate and also reduction of the false positive rate.

Keywords:

• Data Mining
• Intrusion Detection
• JDK
• KDD Cup

Additional information

Notes on contributors

S. Devaraju

S. Devaraju received the BSc degree in chemistry in 1997 from the University of Madras, Chennai, the MCA degree in computer applications and the MPhil degree in computer science from Periyar University, Salem in 2001 and 2004, respectively and also received the MBA degree in human resource from Madurai Kamaraj University, Madurai in 2007. He is currently pursuing his PhD degree in network security. He has 12 years of teaching experience and 2 years industry experience. He is an assistant professor (senior scale) of computer applications, Dr. Mahalingam College of Engineering and Technology, Pollachi, Tamil Nadu, India. He has published 7 papers in international, national journals and conference proceedings. His areas of research include network security, intrusion detection, soft computing, and wireless communication.

E-mail: [email protected].

S. Ramakrishnan

Dr. S. Ramakrishnan received the BE degree in electronics and communication engineering in 1998 from the Bharathidasan University, Trichy, and the ME. degree in communication systems in 2000 from the Madurai Kamaraj University, Madurai. He received his PhD degree in information and communication engineering from Anna University, Chennai in 2007. He has 14 years of teaching experience and 1 year industry experience. He is a professor and the head of the Department of Information Technology, Dr. Mahalingam College of Engineering and Technology, Pollachi, India. Dr.Ramakrishnan is a reviewer of 21 international journals such as IEEE Transactions on Image Processing, IET Journals (Formally IEE), ACM Computing Reviews, Elsevier Science, International Journal of Vibration and Control, IET Generation, Transmission & Distribution, etc. He is in the editorial board of 7 international journals. He is a guest editor of special issues in 3 international journals including Telecommunication Systems Journal of Springer. He has published 125 papers in international, national journals and conference proceedings. Dr. S. Ramakrishnan has published a book on wireless sensor networks for CRC Press, USA and two books on speech processing for InTech Publisher, Croatia and a book on computational techniques for Lambert Academic Publishing, Germany. He has also reviewed 3 books for McGraw Hill international edition and 9 books for ACM computing reviews. He was the convenor of IT board in Anna University of Technology – Coimbatore Board of Studies (BoS). He is guiding 10 PhD research scholars. His biography has been included in Marquis Whos's Who in the World 2012 edition. His areas of research include digital image processing, soft computing, human-computer interaction, wireless sensor network and cognitive radio.

E-mail: [email protected].