• Er.Sandeep Kaur
• Er.Renu Nagpal

The research content of this article is to design an intrusion detection scheme based on Traffic Prediction for the large-scale tiled WSN (Traffic Prediction Intrusion Detection Scheme, or TPIDS), detecting attacks which have considerable influence on the flow, such as the selective forwarding attacks and DOS attacks. As far as we know, this is first intrusion detection scheme for WSN at home and abroad using the traffic prediction model. An important such perspective in terms of detecting DoS attacks is to view the problem as that of a classification problem on network state (and not on individual packets or other units) by modeling normal and attack traffic and classifying the current state of the network as good or bad, thereby detecting attacks when they happen. ACO is used to control the energy and Bayesian network is used to control the transmission route between nodes, CH and base stations of different tires. The result being obtained with different parameters like Network lifetime, Network throughput and Detection ratios. In this research work network life time is 98, throughput is 16.5 and detection ratio is 1.0 that is calculated in this work. It is due to DAG and ACO, because if shortest path is found then energy is saved. If energy is saved the network life time is high and throughput is also varied. In the future work other different types of network attacks are prevented with the help of different protocols and different techniques.

DDOS, Attack, ACO, WSN, sensor network etc.

"Intrusion detection system for hybrid DoS attacks using energy trust in wireless sensor networks", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.7, Issue 8, page no.1832-1837, August-2020, Available :http://www.jetir.org/papers/JETIR2008242.pdf

"Intrusion detection system for hybrid DoS attacks using energy trust in wireless sensor networks", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.7, Issue 8, page no. pp1832-1837, August-2020, Available at : http://www.jetir.org/papers/JETIR2008242.pdf