[논문]Development of Protective Scheme against Collaborative Black Hole Attacks in Mobile Ad hoc Networks

Farooq, Muhammad Umar; Wang, Xingfu; Sajjad, Moizza; Qaisar, Sara

doi:10.3837/tiis.2018.03.020

Development of Protective Scheme against Collaborative Black Hole Attacks in Mobile Ad hoc Networks 원문보기

KSII Transactions on internet and information systems : TIIS, v.12 no.3, 2018년, pp.1330 - 1347

Farooq, Muhammad Umar (School of Computer Science and Technology, University of Science and Technology of China) , Wang, Xingfu (School of Computer Science and Technology, University of Science and Technology of China) , Sajjad, Moizza (Gomal University) , Qaisar, Sara (International Islamic University)

Abstract ▼ AI-Helper

Mobile Ad hoc Network (MANET) is a collection of nodes or communication devices that wish to communicate without any fixed infrastructure and predetermined organization of available links. The effort has been made by proposing a scheme to overcome the critical security issue in MANET. The insufficiency of security considerations in the design of Ad hoc On-Demand Distance Vector protocol makes it vulnerable to the threats of collaborative black hole attacks, where hacker nodes attack the data packets and drop them instead of forwarding. To secure mobile ad hoc networks from collaborative black hole attacks, we implement our scheme and considered sensor's energy as a key feature with a better packet delivery ratio, less delay time and high throughput. The proposed scheme has offered an improved solution to diminish collaborative black hole attacks with high performance and benchmark results as compared to the existing schemes EDRIAODV and DRIAODV respectively. This paper has shown that throughput and packet delivery ratio increase while the end to end delay decreases as compared to existing schemes. It also reduces the overall energy consumption and network traffic by maintaining accuracy and high detection rate which is more safe and reliable for future work.

주제어

AI 본문요약
AI-Helper

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문제 정의

Hence, secured and enhanced energy efficiency solution will be one of the key need in a present MANET technology paradigm. The aim of our research is to detect the collaborative black hole attacks in a mobile ad hoc network and it demonstrates how energy preserving model increases the efficiency of the network.

제안 방법

The proposed OWCAS protocol which is the modified form of AODV with security is used to detect and prevent those collaborative black hole nodes from routing table to get the safe route to base station. The simulation results presented below as a comparison of DRIAODV Protocol under collaborative black hole attacks and EDRIAODV protocol under collaborative black hole attacks with our proposed OWCAS protocol under collaborative black hole attacks.

대상 데이터

The model of our experiment is built on 100 nodes distributed randomly with their unique identities on a network surface of 1500 × 1000m2.

이론/모형

Various parameters are considered while implementing this method such as throughput, energy, packet delivery ratio and end-to-end delay. A NS-2 network simulator is used to simulate the proposed method and assess the performance of an OWCAS and energy computation model. This simulation offers a comprehensive insight the proposed network performance under various operating conditions.
This technique offers plenty of advantages for better detection and mitigation of collaborative black hole attacks. The proposed cluster-based energy efficiency model with security is implemented through Optimized Weight Based Clustering Algorithm with Security (OWCAS) alongside an energy computational model. The proposed methodology is the modified form of Ad hoc On-Demand Distance Vector (AODV) [7].
The proposed cluster-based energy efficiency model with security is implemented through Optimized Weight Based Clustering Algorithm with Security (OWCAS) alongside an energy computational model. The proposed methodology is the modified form of Ad hoc On-Demand Distance Vector (AODV) [7]. OWCAS is chosen as a base methodology for resolving the DOS attacks vulnerability.

후속연구

It also reduces the overall energy consumption and network traffic by maintaining accuracy and high detection rate. The research work will be extended in future in terms of performance metrics and comparing this proposed scheme with other clustering methodologies and protocols to obtain further better results.

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