A Framework for Localizing and Neutralization of Jammers in Wireless Networks.

The communication in wireless networks can be severely interrupted by Jammers and information about the jammers position can help to eliminate its attack. The main approach of this paper is to localize and neutralize the jammer in the network based on the energy(JSS) and finding the new route through the network i.e., best route through the network. The best route is defined as the minimum distance in the network that a sender node selects as its boundary or next hop node Thus, in this paper we aim to design a frame work to localize multiple jammers with high accuracy and minimal error factor. An effective means is to measure the strength of jamming signals (JSS). It conceives an evaluation feedback mechanism for localizing jammer as non linear optimization problem, to quantify result close to true jammer position. This paper focuses on localizing multiple jammer considering energy(JSS) as parameter for identifying a node as a jammer and using another parameter i.e., distance between nodes along with their energy(JSS) to find a best path for the communication in a network jammed scenario. DOI: 10.17762/ijritcc2321-8169.15057

Analysis of Behavioral Characteristics of Jammers to Detect Malicious Nodes in Mobile ADHOC Networks

Wireless ADHOC Networks are used to establish a wireless connection between two computing devices without the need for a Wi-Fi access point or router. This network is decentralized and uses omnidirectional communication media, which makes it more vulnerable to certain types of attacks compared to wired networks. Jamming attacks, a subset of denial-of-service (DoS) attacks, involve malicious nodes that intentionally interfere with the network, blocking legitimate communication. To address this issue, the proposed method analyzes various characteristics of nodes, such as packets sent, received, and dropped, at each node. Using the packet delivery ratio and packet drop ratio, the method detects jamming nodes from normal nodes, improving network performance. The network is simulated in NS2 environment