An Empirical Critique of On-Demand Routing Protocols against Rushing Attack in MANET

Abstract

<div><table cellspacing="0" cellpadding="0" align="left"><tbody><tr><td align="left" valign="top"><p>Over the last decade, researchers had proposed numerous mobile ad hoc routing protocols for which are operate in an on-demand way, as standard on-demand routing protocols such as AODV, DSR and TORA, etc., have been shown to often have faster reaction time and lower overhead than proactive protocols. However, the openness of the routing environment and the absence of centralized system and infrastructure make them exposed to security attacks in large extent. In particular, one such kind of attacks is rushing attack, which is mostly hard to detect due to their inherited properties, that alters the network statistics radically. In this paper, we modeled a rushing attack which is a powerful attack that exploits the weaknesses of the secure routing protocols. Moreover, to know the weakness and strength of these protocols, it is necessary to test their performance in hostile environments. Subsequently, the performance is measured with the various metrics, some ot them are average throughput, packet delivery ratio, average end-to-end delay and etc., to compare and evaluate their performance.</p></td></tr></tbody></table></div>

An Effective Data Privacy Mechanism through Secure Session Key Exchange Model for MANET

“…To prevent this, DPM requires each contributing node to have an "ID" and a valid "TTP certificate". We investigate possible attacks [23] on route discovery and routing and countermeasures taken by DPM to protect routing in mobile ad-hoc networks [27], [28].…”

Intelligent black hole detection in mobile AdHoc networks

“…Each mobile device in the MANET communicates directly with other mobile devices within its radio range, while it can communicate with nodes that are located outside its radio range through intermediate nodes. Moreover, all the nodes must cooperate in forwarding the packets in the network [1]- [3]. MANETs have many distinct characteristics: dynamic network topology, no infrastructure, multi-hop routing, limited resources, and limited bandwidth [4]- [10].…”

“…Nodes are assumed to trust each other and to work closely with each other to perform the routing operations. This trust assumption violates the security principles of networks [3], [4], [14]. There are many types of attacks that can threaten MANETs.…”

“…Then, these selected features can be fed into a learning model to build an effective detection mechanism. The use of a focused dataset will improve the accuracy and speed of detections [3], [15], [16].…”

A new compression technique in MANET: compressed-LZW algorithm

“…Many researches investigate its abilities and methods to enhance its limitations. MANET inadequacies mitigations lie on finding strong cryptosystems, enlarging transmission range and controlling battery drain, the former covered by optimize impenetrable crypto-algorithms, topology engineering and routing protocol optimization [2][3]. On the other hand link failure reduction and route reconfiguration, communication minimization, data compression techniques, and power control mechanisms, are the main fields of battery life enhancement.…”