Research Article
Improving Automatic Response Model System for Intrusion Detection System
@INPROCEEDINGS{10.4108/eai.24-10-2018.2280575, author={Dandy Pramana Hostiadi and I Made Darma Susila}, title={Improving Automatic Response Model System for Intrusion Detection System}, proceedings={The 1st International Conference on Computer Science and Engineering Technology Universitas Muria Kudus}, publisher={EAI}, proceedings_a={ICCSET}, year={2018}, month={11}, keywords={nids automatic response short message send}, doi={10.4108/eai.24-10-2018.2280575} }- Dandy Pramana Hostiadi
I Made Darma Susila
Year: 2018
Improving Automatic Response Model System for Intrusion Detection System
ICCSET
EAI
DOI: 10.4108/eai.24-10-2018.2280575
Abstract
Intrusion Detection System is a system used to detect attacks on a network. IDS can be divided into two types: host-based IDS and network-based IDS. NIDS is mostly used because it consist of several sub-network nodes and more easily to control the host. The problems occurred on the NIDS is not integrated yet with system response and consume time to handling the incident. In this research, we proposed a model of automatic response model through SMS sending to handling system based on detection information. The automated response system works by detecting incoming messages from user and executing instructions against the attacked system based on NIDS detection. We use Snort IDS as NIDS machine to produce alert intrusion. The experimental results showed that the proposed model on attack detection mechanism was successed of response of at least 80% based on the instructions of user done through short message send (sms).