… has been presented for BHA and GHA by using the concept of Artificial Neural Network (…
and prevention of black hole and gray hole attack in MANET using different techniques is …

… different attackers named as Black hole attack, gray hole attack, sink hole attack etc. In
this … an efficient method to detect and prevent Black hole attack in mobile ad hoc network (MANET)…

… to avoid a black hole attack. One way to protect and safeguard the nodes in the MANETs is
to … Artificial Intelligence techniques can be utilized in MANETs to increase security due to the …

… The proposed approach uses the Artificial neural network (ANN) and the Support Vector
Machine (SVM) for the discovery of the black hole attacks in the network. The results are carried …

… The main objective of this research is to prevent the Black Hole Attack, increase the
throughput and reduce the number of packet loss during finding the actual destination hub. …

… Section 2 explains about black-hole attack and different … various techniques that deal with
the black-hole attack and its … , this technique is able to prevent black hole attacks even in the …

… for combating black hole attacks by leveraging the Firefly Algorithm with Artificial Neural
Network. … security architecture for black hole attack prevention in mobile ad hoc networks. In: …

… Each wireless node’s movements are predetermined by an artificial neural network that is …
when a black hole attack is launched against a MANET and then suggests ways to stop it. The …

… eliminate the energy disparity and delay for packet transmission using machine learning based
Artificial Neural Network … to detect the black hole attacks in the MANET. Simulation results …

… passive black holes in an intrusion detection system (IDS). In [22], they propose ML techniques
to distinguish the difference between attacked … to avoid the black hole attack in MANET by …