SecuNetwork:A Packet Based Secure IDS System Using Machine Learning
| Author(s) | : | Girish Navale, Utkarsh Badhe, Akash Wankhade, Chetan Kachare, Dipak Mali |
| Institution | : | Dept.Of Comp. Engg, AISSMS(IOIT), Pune, India |
| Published In | : | Vol. 4, Issue 2 — February 2017 |
| Page No. | : | 73-76 |
| Domain | : | Engineering |
| Type | : | Research Paper |
| ISSN (Online) | : | 2348-4470 |
| ISSN (Print) | : | 2348-6406 |
Intrusion Detection is that the task of detection, preventing and probably reacting to the attack andintrusions during a network based mostly laptop systems. In the literature many machine-learning paradigms areprojected for developing associate Intrusion Detection System. This paper proposes associate Artificial Neural Networkapproach for Intrusion Detection. A Feed Forward Neural Network trained by Back Propagation algorithmic program isdeveloped to classify the intrusions employing a prole information set (ten p.c of the KDD Cup ninety nine Data) with thedata associated with the pc network throughout traditional behav- ior and through Intrusive (Abnormal) behavior. checkresult shows that the proposed approach works well in detection attacks accurately with less false positive and negativerate and it's reminiscent of those according in the literature.
Girish Navale, Utkarsh Badhe, Akash Wankhade, Chetan Kachare, Dipak Mali, “SecuNetwork:A Packet Based Secure IDS System Using Machine Learning”, International Journal of Advance Engineering and Research Development (IJAERD), Vol. 4, Issue 2, pp. 73-76, February 2017.
