Attacks Classification using Intrusion Detection System based on ANN
| Author(s) | : | Minal Zope, Pooja Devrukhakar, Snehal Pandit, Poonam Y. Patil, Priyanka Pethkar |
| Institution | : | M.E. - Computer, Assistant Professor, Department Of CSE, AISSMS IOIT, Pune, India |
| Published In | : | Vol. 2, Issue 3 — March 2015 |
| Page No. | : | 436-440 |
| Domain | : | Engineering |
| Type | : | Research Paper |
| ISSN (Online) | : | 2348-4470 |
| ISSN (Print) | : | 2348-6406 |
Technological advancements have lead to increase in number of computer technologies. Due to increase incomputer technologies the security of it has become a major concern .There is a need to secure the computer systems fromintruders and hackers. Thus for securing the computer systems Intrusion Detection System (IDS) comes into scenario. IDSdetect any intrusion arriving at the computer system and alert the administrator of the system about the arrival of intrusion.This paper presents a new approach for developing IDS using Artificial Neural Network. The proposed system usesbackpropagation algorithm to train the neural network for classifying the attacks. The real time classificatio n of attack isachieved by using feed forward algorithm.
Minal Zope, Pooja Devrukhakar, Snehal Pandit, Poonam Y. Patil, Priyanka Pethkar, “Attacks Classification using Intrusion Detection System based on ANN”, International Journal of Advance Engineering and Research Development (IJAERD), Vol. 2, Issue 3, pp. 436-440, March 2015.
