Abstract: Malicious node invasion as black hole attack is a burning issue in MANETs. Black hole attacks with a single malicious node is easy to detect and prevent. The collaborative attacks with multiple cooperative malicious node is a challenging issue in security of MANETs as it is difficult to figure out due to its complex and sophisticated mechanism. This study proposed a novel signature-based technique to detect and handle the cooperative black hole attack in MANETs. For this purpose, diverse type of simulation scenarios are used with increasing number of nodes. The parameters such as average throughput, average packet drop, average end to end delay, average processing time and malicious node detection rate are used to measure the impact of signature-based malicious node detection scheme. AODV is used as routing protocol in this study. This study revealed that the performance of MANETs degrades with an increase in a number of malicious nodes. The average throughput of MANETs decreases with increase in average end to end delay and average packet drop. Signature-based malicious nodes detection mechanism is used to counter the cooperative black hole attack. The signature-based technique has enhanced the detection and elimination of cooperative black hole attack in MANETs. This helps in comparatively an increase in average throughput and decrease in packet delay and packet drop.

Samiullah Khan, Faqir Usman, Matiullah and Fahim Khan Khalil, “Enhanced Detection and Elimination Mechanism from Cooperative Black Hole Threats in MANETs” International Journal of Advanced Computer Science and Applications(IJACSA), 9(3), 2018. http://dx.doi.org/10.14569/IJACSA.2018.090350

@article{Khan2018,
title = {Enhanced Detection and Elimination Mechanism from Cooperative Black Hole Threats in MANETs},
journal = {International Journal of Advanced Computer Science and Applications}
doi = {10.14569/IJACSA.2018.090350},
url = {http://dx.doi.org/10.14569/IJACSA.2018.090350},
year = {2018},
publisher = {The Science and Information Organization},
volume = {9},
number = {3},
author = {Samiullah Khan and Faqir Usman and Matiullah and Fahim Khan Khalil},
}