scholarly journals Mitigation of Selfish Node Attacks in Autoconfiguration of MANETs

2018 ◽  
Vol 7 (2) ◽  
pp. 162
Author(s):  
Reshmi. T.R ◽  
Shymala L ◽  
Sandhya. M.K
Keyword(s):  
Ad Hoc ◽  
Detection System ◽  
Selfish Nodes ◽  
Mobile Nodes ◽  
Malicious Nodes ◽  
Ip Address ◽  
Computational Overhead ◽  
Mobile Ad Hoc ◽  
Hoc Networks ◽  
Acquisition Delay

Mobile ad-hoc networks (MANETs) are composed of mobile nodes connected by wireless links without using any pre-existent infrastructure. Hence the assigning of unique IP address to the incoming node becomes difficult. There are various dynamic auto configuration protocols available to assign IP address to the incoming nodes including grid based protocol which assigns IP address with less delay and low protocol overhead. Such protocols get affected by presence of either selfish nodes or malicious nodes. Moreover there is no centralized approach to defend against these threats like in wired network such as firewall, intrusion detection system, proxy etc. The selfish nodes are the nodes which receive packet destined to it and drop packet destined to other nodes in order to save its energy and resources. This behavior of nodes affects normal functioning of auto configuration protocol. Many algorithms are available to isolate selfish nodes but they do not deal with presence of false alarm and protocol overhead. And also there are certain algorithms which use complex formulae and tedious mathematical calculations. The proposed algorithm in this paper helps to overcome the attack of selfish nodes effect in an efficient and scalable address auto configuration protocol that automatically configures a network by assigning unique IP addresses to all nodes with a very low protocol overhead, minimal address acquisition delay and computational overhead.

scholarly journals Smart detection and prevention procedure for DoS attack in MANET

2021 ◽  
pp. 1-5
Author(s):  
A. S. M. Muntaheen ◽  
Milton Chandro Bhowmick ◽  
Md. Raqibul Hasan Rumman ◽  
Nayeem Al-Tamzid Bhuiyan ◽  
Md. Taslim Mahmud Bhuyain ◽  
...  
Keyword(s):  
Ad Hoc Network ◽  
Ad Hoc ◽  
Mobile Ad Hoc Network ◽  
Malicious Node ◽  
Specific Time ◽  
Mobile Nodes ◽  
Dos Attack ◽  
Malicious Nodes ◽  
Mobile Ad Hoc ◽  
Hoc Networks

A self-organized wireless communication short-lived network containing collection of mobile nodes is mobile ad hoc network (MANET). The mobile nodes communicate with each other by wireless radio links without the use of any pre-established fixed communication network infrastructure or centralized administration, such as base stations or access points, and with no human intervention. In addition, this network has potential applications in conference, disaster relief, and battlefield scenario, and have received important attention in current years. There is some security concern that increases fear of attacks on the mobile ad-hoc network. The mobility of the NODE in a MANET poses many security problems and vulnerable to different types of security attacks than conventional wired and wireless networks. The causes of these issues are due to their open medium, dynamic network topology, absence of central administration, distributed cooperation, constrained capability, and lack of clear line of defense. Without proper security, mobile hosts are easily captured, compromised, and attacked by malicious nodes. Malicious nodes behavior may deliberately disrupt the network so that the whole network will be suffering from packet losses. One of the major concerns in mobile ad-hoc networks is a traffic DoS attack in which the traffic is choked by the malicious node which denied network services for the user. Mobile ad-hoc networks must have a safe path for transmission and correspondence which is a serious testing and indispensable issue. So as to provide secure communication and transmission, the scientist worked explicitly on the security issues in versatile impromptu organizations and many secure directing conventions and security measures within the networks were proposed. The goal of the work is to study DoS attacks and how it can be detected in the network. Existing methodologies for finding a malicious node that causes traffic jamming is based on node’s retains value. The proposed approach finds a malicious node using reliability value determined by the broadcast reliability packet (RL Packet). In this approach at the initial level, every node has zero reliability value, specific time slice, and transmission starts with a packet termed as reliability packet, node who responded properly in specific time, increases its reliability value and those nodes who do not respond in a specific time decreases their reliability value and if it goes to less than zero then announced that it’s a malicious node. Reliability approach makes service availability and retransmission time.

Security in Pervasive Computing

2011 ◽  
pp. 123-136
Author(s):  
Sunita Prasad ◽  
Rakesh Chouhan
Keyword(s):  
Black Hole ◽  
Pervasive Computing ◽  
Routing Protocol ◽  
Ad Hoc ◽  
Mobile Nodes ◽  
Malicious Nodes ◽  
On Demand ◽  
Reactive Routing ◽  
Mobile Ad Hoc ◽  
Hoc Networks

Pervasive computing has wide application in military, medical and smart home domain. In pervasive computing, a large number of smart objects interact with one another without the user intervention. Although the technology is promising but security needs to be addressed before the technology is widely deployed. Pervasive networks are formed spontaneously and the devices communicate via radio. Thus, mobile ad hoc networking is an essential technology for pervasive computing. An ad hoc network is a collection of wireless mobile nodes, which acts as a host as well as a router. The communication between the nodes is multihop without any centralized administration. AODV (Ad Hoc On demand Distance Vector) is a prominent on-demand reactive routing protocol for mobile ad hoc networks. But in existing AODV, there is no security provision against well-known attack known as “Black hole attack”. Black hole nodes are those malicious nodes that agree to forward the packets to destination but do not forward the packets intentionally. Thischapter extends the watchdog mechanism for the AODV routing protocol to detect such misbehavior based on promiscuous listening. The proposed method first detects a black hole node and then gives a new route bypassing this node. The experimental results show that in a lightly loaded, hostile environment, the proposed scheme improves the throughput compared to an unprotected AODV protocol.

An Efficient Selfishness Control Mechanism for Mobile Ad hoc Networks

2021 ◽  
pp. 432-449
Author(s):  
D. Rajalakshmi ◽  
Meena K.
Keyword(s):  
Real Time ◽  
Network Performance ◽  
Ad Hoc ◽  
Mobile Ad Hoc Network ◽  
Resource Constraints ◽  
Selfish Nodes ◽  
Security Issue ◽  
Malicious Nodes ◽  
Mobile Ad Hoc ◽  
Hoc Networks

A MANET (mobile ad hoc network) is a self-organized wireless network. This network is more vulnerable to security failure due to dynamic topology, infrastructure-less environment, and energy consumption. Based on this security issue, routing in MANET is very difficult in real time. In these kinds of networks, the mobility and resource constraints could lead to divide the networks and minimize the performance of the entire network. In real time it is not possible because some selfish nodes interacts with other nodes partially or may not share the data entirely. These kind of malicious or selfish nodes degrade the network performance. In this chapter, the authors proposed and implemented the effect of malicious activities in a MANETs using self-centered friendship tree routing. It's a novel replica model motivated by the social relationship. Using this technique, it detects the malicious nodes and prevents hacking issues in routing protocol in future routes.

scholarly journals Performance Examination of Intrusion Detection System based on LDK, NCA Algorithms and GBC Method

2019 ◽  
Vol 9 (2S2) ◽  
pp. 888-895
Keyword(s):  
Intrusion Detection ◽  
Intrusion Detection System ◽  
Ad Hoc ◽  
Detection System ◽  
Malicious Nodes ◽  
Process Validation ◽  
Mobile Ad Hoc ◽  
Hoc Networks ◽  
Computational Resources ◽  
Performance Examination

The growth of wireless technology has concerned the necessity of Intrusion Detection System (IDS). To pact with a several arising security impacts and other problems in the communication atmosphere. Many of the researchers had developed several algorithms to cope with the malicious things in Mobile Ad hoc Networks (MANETs). Supervision of the network behavior IDS have to run all over the network and all the time on every node. This approach is costly overhead for mobile device and computational resources. These devices are powered by batteries in terms of power. Least Degree for K (LDK), Node Categorization Collaboration among the nodes are accomplished by the implementation of algorithm Node Categorization Algorithm (NCA) and Grid Based Clustering (GBC) algorithms that will reduce the time delay and overhead process. Validation approach of improved Intrusion Detection system is compared with the GBC approaches. The Improved IDS model confesses intrusions and malicious nodes in DSR Protocol.

scholarly journals Intrusion Detection in Manet Through Machine Learning Approach

2022 ◽  
Vol 11 (3) ◽  
pp. 1-6
Author(s):  
Dr. Sultanuddin SJ ◽  
◽  
Dr. Md. Ali Hussain ◽  
Keyword(s):  
Machine Learning ◽  
Ad Hoc Networks ◽  
Ad Hoc ◽  
Mobile Ad Hoc Network ◽  
Machine Learning Techniques ◽  
Mobile Nodes ◽  
Malicious Nodes ◽  
Mobile Ad Hoc ◽  
Hoc Networks ◽  
Set Up

Mobile ad hoc networks (MANETs) have evolved into a leading multi-hop infrastructure less wireless communication technology where every node performs the function of a router. Ad- hoc networks have been spontaneously and specifically designed for the nodes to communicate with each other in locations where it is either complex or impractical to set up an infrastructure. The overwhelming truth is that with IoT emergence, the number of devices being connected every single second keeps increasing tremendously on account of factors like scalability, cost factor and scalability which are beneficial to several sectors like education, disaster management, healthcare, espionage etc., where the identification and allocation of resources as well as services is a major constraint. Nevertheless, this infrastructure with dynamic mobile nodes makes it more susceptible to diverse attack scenarios especially in critical circumstances like combat zone communications where security is inevitable and vulnerabilities in the MANET could be an ideal choice to breach the security. Therefore, it is crucial to select a robust and reliable system that could filter malicious activities and safeguard the network. Network topology and mobility constraints poses difficulty in identifying malicious nodes that can infuse false routes or packets could be lost due to certain attacks like black hole or worm hole. Hence our objective is to propose a security solution to above mentioned issue through ML based anomaly detection and which detects and isolates the attacks in MANETs. Most of the existing technologies detect the anomalies by utilizing static behavior; this may not prove effective as MANET portrays dynamic behavior. Machine learning in MANETs helps in constructing an analytical model for predicting security threats that could pose enormous challenges in future. Machine learning techniques through its statistical and logical methods offers MANETs the learning potential and encourages towards adaptation to different environments. The major objective of our study is to identify the intricate patterns and construct a secure mobile ad-hoc network by focusing on security aspects by identifying malicious nodes and mitigate attacks. Simulation-oriented results establish that the proposed technique has better PDR and EED in comparison to the other existing techniques.

scholarly journals An Efficient Authentication Protocol for Security in Mobile Ad Hoc Networks

2014 ◽  
pp. 135-138
Author(s):  
Abdul Shabbir ◽  
Anasuri Sunil Kumar
Keyword(s):  
Ad Hoc ◽  
Secure Routing ◽  
Communication Overhead ◽  
Centralized Control ◽  
Mobile Nodes ◽  
Malicious Nodes ◽  
Mobile Adhoc Network ◽  
Adhoc Network ◽  
Mobile Ad Hoc ◽  
Hoc Networks

Mobile Adhoc Network(MANETs) is a collection of mobile nodes that communicate by forming a network dynamically that lacks fixed infrastructure and centralized control. Secure routing is of at most importance in such networks because of dynamically changing topologies, absence of centralized monitoring points and lack of clear lines of defense. This paper discusses a fool proof key exchange mechanism and a network model to protect the network containing malicious nodes. The reputation of a node increases as long as the node transfers the message properly and decreases otherwise. Moreover, it has minimum computation and communication overhead which makes it viable.

scholarly journals Counteracting Selfish Nodes Using Reputation Based System in Mobile Ad Hoc Networks

Electronics ◽  
2022 ◽  
Vol 11 (2) ◽  
pp. 185
Author(s):  
Muhammad Fayaz ◽  
Gulzar Mehmood ◽  
Ajab Khan ◽  
Sohail Abbas ◽  
Muhammad Fayaz ◽  
...  
Keyword(s):  
Network Performance ◽  
Ad Hoc ◽  
Mobile Ad Hoc Network ◽  
Base Stations ◽  
Selfish Nodes ◽  
Mobile Nodes ◽  
Good Reputation ◽  
Mobile Ad Hoc ◽  
Hoc Networks ◽  
Packet Drop

A mobile ad hoc network (MANET) is a group of nodes constituting a network of mobile nodes without predefined and pre-established architecture where mobile nodes can communicate without any dedicated access points or base stations. In MANETs, a node may act as a host as well as a router. Nodes in the network can send and receive packets through intermediate nodes. However, the existence of malicious and selfish nodes in MANETs severely degrades network performance. The identification of such nodes in the network and their isolation from the network is a challenging problem. Therefore, in this paper, a simple reputation-based scheme is proposed which uses the consumption and contribution information for selfish node detection and cooperation enforcement. Nodes failing to cooperate are detached from the network to save resources of other nodes with good reputation. The simulation results show that our proposed scheme outperforms the benchmark scheme in terms of NRL (normalized routing load), PDF (packet delivery fraction), and packet drop in the presence of malicious and selfish attacks. Furthermore, our scheme identifies the selfish nodes quickly and accurately as compared to the benchmark scheme.

Sign in / Sign up

Export Citation Format

Share Document