No abstract

Nowadays, ZigBee is one of the dominating standards for wireless sensor networks and Internet of Things (IoT) networks. Even though, the ZigBee standard is formed with low per-unit costs, security in mind and network resilience, existing security mechanisms are not effective to provide security and protection against wormhole attacks and Distributed Denial of Service ( DDoS) attacks on networks such as WSN and IoT. They also introduce high consumption of energy, storage memory and processing. In this work, Energy Efficient Intrusion Detection System (EE-IDS) and Energy Efficient Intrusion Detection System with Energy Prediction (EE-IDSEP) are proposed for protection of ZigBee based wireless sensor networks in presence of wormhole attacks and ( DDoS) attacks. The EE-IDS is developed and its performance is evaluated by considering three different routing protocols such as Ad hoc On-Demand Distance Vector (AODV), Shortcut Tree Routing (STR) and Opportunistic Shortcut Tree Routing (OSTR) to improve the security against wormhole attack and to mitigate the energy consumption of the sensor nodes in the ZigBee based wireless sensor networks. The proposed EE-IDS and EE-IDSEP are evaluated through extensive simulations by using NS2 and then compared with the existing Energy Efficient Trust System for Wormhole detection (EE-TSW) and Energy Efficient Trust System (EE-TS) for detection of DDoS attack. It is inferred from the simulation results that proposed IDS namely EE-IDS-AODV, EE-IDS-STR and EE-IDS-OSTR for detection of wormhole attack have better performance than that of existing EE-TSW and proposed system EE-IDSEP for detection of DDoS attack have also shown better performance than that of existing system EE-TS in terms of performance metrics such as Packet Delivery Ratio (PDR), Average End-to-End Delay, energy consumption, detection rate, average detection time and False Positive Rate (FPR).

Owing to wireless broadcast nature of communication, wireless sensor networks (WSNs) are vulnerable to denial-of-service (DOS) attacks and hole attacks. Preserving security and confidentiality in WSN are crucial, so it is required to design an energy efficient intruder detection system (IDS) to detect and mitigate the attacks. In this paper, an energy efficient intruder detection system based on energy prediction (EE-IDSEP) has been proposed for IEEE 802.15.4-based WSN to detect and mitigate the distributed denial-of-service (DDoS) attack (i.e., resource depletion attack, power exhaustion attack and flooding) and wormhole attacks. The design of EE-IDSEP consists of optimised watchdog system and hidden Markov model (HMM). The wormhole attack is detected using the optimised watchdog system. The optimised watchdog mechanism is a trust-based method which is used to evaluate the validity of all the nodes of the network. The DDoS attack is detected based on energy consumed using the hidden Markov model. The model of EE-IDS is simulated using NS2 simulator and then it is compared with existing energy efficient trust system (EE-TS) in terms of packet delivery ratio (PDR), packet drop, and energy consumption.

Owing to wireless broadcast nature of communication, wireless sensor networks (WSNs) are vulnerable to denial-of-service (DOS) attacks and hole attacks. Preserving security and confidentiality in WSN are crucial, so it is required to design an energy efficient intruder detection system (IDS) to detect and mitigate the attacks. In this paper, an energy efficient intruder detection system based on energy prediction (EE-IDSEP) has been proposed for IEEE 802.15.4-based WSN to detect and mitigate the distributed denial-of-service (DDoS) attack (i.e., resource depletion attack, power exhaustion attack and flooding) and wormhole attacks. The design of EE-IDSEP consists of optimised watchdog system and hidden Markov model (HMM). The wormhole attack is detected using the optimised watchdog system. The optimised watchdog mechanism is a trust-based method which is used to evaluate the validity of all the nodes of the network. The DDoS attack is detected based on energy consumed using the hidden Markov model. The model of EE-IDS is simulated using NS2 simulator and then it is compared with existing energy efficient trust system (EE-TS) in terms of packet delivery ratio (PDR), packet drop, and energy consumption.