journal article·2021Open access

Packet Drop Battling Mechanism for Energy Aware Detection in Wireless Networks

Ahmad F. Subahi, Youseef Alotaibi, Osamah Ibrahim Khalaf, Ajesh F

Computers, Materials & Continua· Volume 66· Issue 2

Abstract

Network security and energy consumption are deemed to be two important components of wireless and mobile ad hoc networks (WMANets). There are various routing attacks which harm Ad Hoc networks. This is because of the unsecure wireless communication, resource constrained capabilities and dynamic topology. In order to cope with these issues, Ad Hoc On-Demand Distance Vector (AODV) routing protocol can be used to remain the normal networks functionality and to adjust data transmission by defending the networks against black hole attacks. The proposed system, in this work, identifies the optimal route from sender to collector, prioritizing the number of jumps, the battery life, and security, which are fundamental prerequisites. Researches have proposed various plans for detecting the shortest route, as well as ensuring energy conversions and defense against threats and attacks. In this regard, the packet drop attack is one of the most destructive attack against WMANet communication and hence merits special attention. This type of attack may allow the attacker to take control of the attacked hubs, which may lost packets or transmitted information via a wrong route during the packets journey from a source hub to a target one. Hence, a new routing protocol method has been proposed in this study. It applies the concept of energy saving systems to conserve energy that is not required by the system. The proposed method for energy aware detection and prevention of packet drop attacks in mobile ad hoc networks is termed the Ad Hoc On-Demand and Distance Vector–Packet Drop Battling Mechanism (AODV–PDBM).
Source: openalex_inverted_index · Quality: baseline

Research context

OpenAlex topics: Mobile Ad Hoc Networks · Security in Wireless Sensor Networks · Vehicular Ad Hoc Networks (VANETs)

SciVX discovery tags are terminology-based. OpenAlex topics are source-provided classifications.

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