Dipper Throated Optimization for Detecting Black-Hole Attacks inMANETs  

作　　者：Reem Alkanhel El-Sayed M.El-kenawy Abdelaziz A.Abdelhamid Abdelhameed Ibrahim Mostafa Abotaleb Doaa Sami Khafaga 

机构地区：[1]Department of Information Technology,College of Computer and Information Sciences,Princess Nourah bint Abdulrahman University,P.O.Box 84428,Riyadh,11671,Saudi Arabia [2]Department of Communications and Electronics,Delta Higher Institute of Engineering and Technology,Mansoura,35111,Egypt [3]Faculty of Artificial Intelligence,Delta University for Science and Technology,Mansoura,35712,Egypt [4]Department of Computer Science,Faculty of Computer and Information Sciences,Ain Shams University,Cairo,11566,Egypt [5]Department of Computer Science,College of Computing and Information Technology,Shaqra University,11961,Saudi Arabia [6]Computer Engineering and Control Systems Department,Faculty of Engineering,Mansoura University,Mansoura,35516,Egypt [7]Department of System Programming,South Ural State University,Chelyabinsk,454080,Russia [8]Department of Computer Sciences,College of Computer and Information Sciences,Princess Nourah Bint Abdulrahman University,P.O.Box 84428,Riyadh,11671,Saudi Arabia

出　　处：《Computers, Materials & Continua》2023年第1期1905-1921,共17页计算机、材料和连续体（英文）

基　　金：Princess Nourah bint Abdulrahman University Researchers Supporting Project number(PNURSP2022R323),PrincessNourah bint Abdulrahman University,Riyadh,Saudi Arabia.

摘　　要：In terms of security and privacy,mobile ad-hoc network(MANET)continues to be in demand for additional debate and development.As more MANET applications become data-oriented,implementing a secure and reliable data transfer protocol becomes a major concern in the architecture.However,MANET’s lack of infrastructure,unpredictable topology,and restricted resources,as well as the lack of a previously permitted trust relationship among connected nodes,contribute to the attack detection burden.A novel detection approach is presented in this paper to classify passive and active black-hole attacks.The proposed approach is based on the dipper throated optimization(DTO)algorithm,which presents a plausible path out of multiple paths for statistics transmission to boost MANETs’quality of service.A group of selected packet features will then be weighed by the DTO-based multi-layer perceptron(DTO-MLP),and these features are collected from nodes using the Low Energy Adaptive Clustering Hierarchical(LEACH)clustering technique.MLP is a powerful classifier and the DTO weight optimization method has a significant impact on improving the classification process by strengthening the weights of key features while suppressing the weights ofminor features.This hybridmethod is primarily designed to combat active black-hole assaults.Using the LEACH clustering phase,however,can also detect passive black-hole attacks.The effect of mobility variation on detection error and routing overhead is explored and evaluated using the suggested approach.For diverse mobility situations,the results demonstrate up to 97%detection accuracy and faster execution time.Furthermore,the suggested approach uses an adjustable threshold value to make a correct conclusion regarding whether a node is malicious or benign.

关 键 词：Black-hole attack mobile ad-hoc network OPTIMIZATION dipper throated optimization 

分 类 号：TP393.08[自动化与计算机技术—计算机应用技术]