MIDS: Multiple Intrusion Detection System for Wireless Sensor Networks
Muhammad Tariq, Institute of Computer Sciences and Information Technology (ICS/IT), The University of Agriculture, Peshawar, Pakistan.
Javed Iqbal Bangash, Institute of Computer Sciences and Information Technology (ICS/IT), The University of Agriculture, Peshawar, Pakistan.
Akhtar Kamal, Institute of Computer Sciences and Information Technology (ICS/IT), The University of Agriculture, Peshawar, Pakistan.
Nida Gul, Institute of Computer Sciences and Information Technology (ICS/IT), The University of Agriculture, Peshawar, Pakistan.
Sana Zahir, Institute of Computer Sciences and Information Technology (ICS/IT), The University of Agriculture, Peshawar, Pakistan.
Bilawal Khan, Institute of Computer Sciences and Information Technology (ICS/IT), The University of Agriculture, Peshawar, Pakistan.
Corresponding Author:
Muhammad Tariq (tariqahmad825@gmail.com)
Abstract:
The rapid growth and advancement of information and communication technology in the last two decades has led to the emergence of new techniques and paradigms. Wireless Sensor Network (WSN) is one of the new emerging areas in the field of digital networking and communication. Due to nature of wireless sensor networks and their exposure to unpredictable environments, it often leads to varying types of attacks on these networks. Various types of attacks and malicious activities occur in wireless that severely affects its functionalities and operations. Some of the common attacks that occur in WSN are black hole, Gray hole, worm hole, flooding attacks, selective forwarding and denial of service attacks. The existing Intrusion Detection Systems (IDS) have some limitations and short comings due to following reasons; firstly most of the proposed IDS focus one or two types of attacks (i.e. black hole, sink hole, Hello flooding etc.). Secondly existing approach does not provide any mechanism for energy consumption in WSN, as WSN have very limited power resource and IDS can consume more energy in detection process. Third, existing IDS have been evaluated on very small network structures and with few evaluation parameters, hence, their experimental results does not provide clear indication that how these IDS will behave and perform in real environments. This work developed an intrusion detection system that can have the ability to detect multiple wireless sensor network attacks, such as sink hole, black hole, and hello flooding. This research work proposes IDS with feature that helps in usage power reduction during the detection process. Hence it helps to decrease the load on the sensor network in terms of energy consumption. Further, energy consumption mechanism leads to life time extension of sensor nodes as well as the whole network. State-of-the art simulation tools will be employed for carrying out experimentation and evaluations of the proposed IDS. MATLAB is resource reach tools that provide different type of functionalities and features for simulating various aspects of Wireless sensor networks. The performance is evaluated in terms of different parameters: Packet Delivery Ratio, No of packets dropped, End to End delay comparison and residual energy of nodes. This research work improved the detection rate, accuracy and through put of malicious nodes in network. Basic intuition behind this was to extend lifetime of sensor nodes in the network by controlling their energy consumption.
Keywords:
WSN; Black Hole; Sensor; IDS (Intrusion Detection System); Energy Consumption