Biblio

Mobile Ad hoc Network is a very important key technology for device to device communication without any support of extra infrastructure. As it is being used as a mode of communication in various fields, protecting the network from various attacks becomes more important. In this research paper, we have created a real network scenario using random mobility of nodes and implemented Black hole Attack and Gray hole Attack, which degrades the performance of the network. In our research, we have found a novel mitigation technique which is efficient to mitigate both the attack from the network.

The increasing demand and the use of mobile ad hoc network (MANET) in recent days have attracted the attention of researchers towards pursuing active research work largely related to security attacks in MANET. Gray hole attack is one of the most common security attacks observed in MANET. The paper focuses on gray hole attack analysis in Ad hoc on demand distance vector(AODV) routing protocol based MANET with reliability as a metric. Simulation is performed using ns-2.35 simulation software under varying number of network nodes and varying number of gray hole nodes. Results of simulation indicates that increasing the number of gray hole node in the MANET will decrease the reliability of MANET.

A MANET is a group of wireless mobile nodes which cooperate in forwarding packets over a wireless links. Due to the lack of an infrastructure and open nature of MANET, security has become an essential and challenging issue. The mobile nature and selfishness of malicious node is a critical issue in causing the security problem. The MANETs are more defenseless to the security attacks; some of them are black hole and gray hole attacks. One of its key challenges is to find black hole attack. In this paper, researchers propose a secure AODV protocol (SAODV) for detection and removal of black hole and gray hole attacks in MANTEs. The proposed method is simulated using NS-2 and it seems that the proposed methodology is more secure than the existing one.

Wireless Sensor Networks (WSNs) are used in many applications in military, environmental, and health-related areas. These applications often include the monitoring of sensitive information such as enemy movement on the battlefield or the location of personnel in a building. Security is important in WSNs. However, WSNs suffer from many constraints, including low computation capability, small memory, limited energy resources, susceptibility to physical capture, and the use of insecure wireless communication channels. These constraints make security in WSNs a challenge. In this paper, we try to explore security issue in WSN. First, the constraints, security requirements and attacks with their corresponding countermeasures in WSNs are explained. Individual sensor nodes are subject to compromised security. An adversary can inject false reports into the networks via compromised nodes. Furthermore, an adversary can create a Gray hole by compromised nodes. If these two kinds of attacks occur simultaneously in a network, some of the existing methods fail to defend against those attacks. The Ad-hoc On Demand Distance (AODV) Vector scheme for detecting Gray-Hole attack and Statistical En-Route Filtering is used for detecting false report. For increasing security level, the Elliptic Curve Cryptography (ECC) algorithm is used. Simulations results obtain so far reduces energy consumption and also provide greater network security to some extent.