• Elango P.E.
• Subbaiah S

To protect from these attacks various intrusion detection techniques have been developed. The prosperity of technology worldwide has made the concerns of security tend to increase rapidly. The enormous usage of internetworking has raised the need of protecting system(s) as well as network(s) from the unauthorized access (intrusion). To tackle the intrusive activities, several countermeasures have been found in literature viz. firewall, antivirus and currently widely preferred Intrusion detection System (IDS). IDS, is a detection mechanism for detecting the intrusive activities hidden among the normal activities. The revolutionary establishment of IDS has attracted analysts to work dedicatedly enabling the system to deal with technological advancements. In this paper proposed into LIDeA IDS agent architecture and Local Detection Engine Module may be expected as another step towards advancement of IDS. The framework utilizes the crucial data mining classification algorithms beneficial for intrusion detection.

Intrusion, Key Management, Detection Module, Wireless Sensor Network.

"A DISTRIBUTED NOVEL HYBRID INTRUSION DETECTION FRAME-WORK", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.6, Issue 2, page no.585-596, February-2019, Available :http://www.jetir.org/papers/JETIR1902278.pdf

"A DISTRIBUTED NOVEL HYBRID INTRUSION DETECTION FRAME-WORK", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.6, Issue 2, page no. pp585-596, February-2019, Available at : http://www.jetir.org/papers/JETIR1902278.pdf