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 Secured Routing in Mobile Ad hoc Networks (MANETs)

2019 ◽  
pp. 277-289
Author(s):  
S. Maharaja ◽  
R. Jeyalakshmi ◽  
A.V. Sabarish Kanna ◽  
M. Deva Priya
Keyword(s):  
Packet Loss ◽  
Ad Hoc ◽  
Vital Role ◽  
Delivery Ratio ◽  
Loss Ratio ◽  
Packet Delivery ◽  
Mobile Adhoc Network ◽  
Adhoc Network ◽  
Mobile Ad Hoc ◽  
Hoc Networks

A Mobile Adhoc Network (MANET) is prone to attacks. Adversaries take hold of the network, thus degrading their performance. Various attacks are prevalent in MANET, out of which Byzantine attack plays a vital role. A node or group of nodes present in the routing path between the source and the destination may be compromised due to Byzantine attack. In this paper, Cohen Kappa Reliability Coefficient based Mitigation (CKRCM) mechanism is proposed to deal with these attacks. The intermediate nodes are monitored by their neighbors for a timestamp. If the monitoring node does not receive an acknowledgment, then the nodes are perceived to be attacked. The trustworthiness of the nodes is built by computing the trusts and reliabilities of the nodes. It is seen that the proposed scheme outperforms the existing scheme in terms of Throughput, Packet Delivery Ratio (PDR) and Packet Loss Ratio (PLR).

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.

scholarly journals Towards a context sensitive and secure routing for in MANETs (Mobile Ad-hoc Networks)

2013 ◽  
Vol 3 (2) ◽  
pp. 06-11
Author(s):  
Haboub Rachid ◽  
Dr. Mohammed Ouzzif
Keyword(s):  
Ad Hoc Networks ◽  
Mobile Ad Hoc Networks ◽  
Intelligent Systems ◽  
Ad Hoc ◽  
Environmental Control ◽  
Industrial Applications ◽  
Secure Routing ◽  
Malicious Nodes ◽  
Mobile Ad Hoc ◽  
Hoc Networks

Mobile Ad-hoc Networks (MANETs) can be deployed quickly without any existing infrastructure. These networks are useful in many areas, such as emergency assistance, disaster relief, intelligent systems houses, patient monitoring, industrial applications, health monitoring, environmental control, military applications, etc. However ad-hoc networks face many challenges, such as the unpredictable mobility of the network, the limited amount of energy available, security challenges, low computational resources, low memory, etc. There is a need for routing approaches aware of those challenges. Thus, this work aims to provide a secure and context aware ad-hoc network, by changing the frequency of data transmission and routing the packets through reliable links. The proposed approaches has been tested, the results shows an interesting decrease of the transmission throughput coming from malicious nodes, a decrease in the packet loss and an increase of the network lifetime.

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.

scholarly journals Agent based secure intrusion detection and prevention for rushing attacks in clustering MANETs

2018 ◽  
Vol 7 (2.20) ◽  
pp. 22
Author(s):  
A Aranganathan ◽  
C D. Suriyakala
Keyword(s):  
Intrusion Detection ◽  
Ad Hoc ◽  
Mobile Ad Hoc Network ◽  
Communication Overhead ◽  
Delivery Ratio ◽  
Security Measures ◽  
Malicious Nodes ◽  
Agent Based ◽  
Mobile Ad Hoc ◽  
Hoc Networks

Intrusion detection is one of challenging issues in wireless networks. The inherently vulnerable characteristics of wireless mobile ad hoc networks make them susceptible to attacks in-spite of some security measures, and it may be too late before any counter action can take effect. As such, there is a need to complement security mechanisms with efficient intrusion detection and response systems. This paper proposes an agent-based model to address the aspect of intrusion detection in cluster based Mobile ad hoc network environment. The model comprises of mobile agents, which are used to detect intrusions, respond to intrusions, mainly preventing the routing attacks while securing them and distributing selected and aggregated intrusion information to all other nodes in the network in an intelligent manner to compensate the attack. The model is simulated to test its operation effectiveness by considering various performance parameters such as, packet delivery ratio, communication overhead, throughput. It implements a secure detection and prevention technique that contains the Blowfish algorithm which is a symmetric encryption and decryption algorithm having a secure standard till date against attacks to make the network transmission secure while monitoring malicious nodes and preventing them from compromising the integrity of the network. Agent based approach facilitates flexible and adaptable security services. Also, it supports component based software engineering components such as maintainability, reachability, reusability, adaptability, and flexibility. 

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 A Brief Review of Energy Efficient Protocols in Mobile Ad hoc Networks

2021 ◽  
Author(s):  
Kirandeep Kaur ◽  
Satinder Kaur
Keyword(s):  
Ad Hoc Networks ◽  
Mobile Ad Hoc Networks ◽  
Energy Efficient ◽  
Ad Hoc ◽  
Centralized Control ◽  
Mobile Nodes ◽  
Energy Efficient Routing ◽  
Time Duration ◽  
Mobile Ad Hoc ◽  
Hoc Networks

Mobile Ad Hoc Networks (MANETs) is an assemblage of multi-hop wireless mobile nodes that communicate with each other without centralized control and established infrastructure. Energy efficient routing is not merely concerned about less power consumption, it also deals with increasing the time duration in which any network maintains certain performance level. Therefore, power management becomes an essential issue. Considering this, various authors have designed and developed different techniques to enhance the energy efficiency of mobile networks. This paper focuses on the comparative study of different developments and modifications that have been carried out in this field in past decades. It also highlights how these modifications have helped to enhance the network lifetime.

Identifying Intruders in MANET

2020 ◽  
Vol 11 (4) ◽  
pp. 42-55
Author(s):  
Deepak Kumar Verma ◽  
Ashwani Kush ◽  
Renu Jain
Keyword(s):  
Mobile Ad Hoc Networks ◽  
Routing Protocols ◽  
Ad Hoc ◽  
Centralized Control ◽  
Malicious Nodes ◽  
Frequent Change ◽  
Aodv Protocol ◽  
Wireless Medium ◽  
Mobile Ad Hoc ◽  
Hoc Networks

Mobile ad hoc networks are characterized by wireless medium used for communication, frequent change of topology, and non-availability of centralized control for authentication. Out of all the attributes, communication through open air poses the biggest threat to security. Absence of security implementations by the routing protocols gives opening for intrusion to malicious nodes which then operate various attacks to hinder the normal communication. Solution suggested modifies vastly used AODV protocol to exploit the unused reserved bits of RREP message for identifying the malicious nodes in the MANET. Proposed algorithm finds the neighbors of the destination through RREQ messages, identifies vindictive neighbors providing contrived DSNs of the destination.

scholarly journals A REVIEW PAPER ON SECURITY IN MOBILE ADHOC NETWORK

2017 ◽  
Author(s):  
Anuj Mehta
Keyword(s):  
Routing Protocols ◽  
Ad Hoc Network ◽  
Ad Hoc ◽  
Mobile Ad Hoc Network ◽  
Security Threats ◽  
Malicious Nodes ◽  
Detection Scheme ◽  
Mobile Adhoc Network ◽  
Mobile Ad Hoc ◽  
Hoc Networks

Mobile Ad-hoc network (MANET) is a collection of self configuring, multi-hop wireless network. Due to the mobility and dynamic nature of MANET, network is not secure. MANET is more vulnerable to different types of attacks and security threats because of its characteristics. A routing protocol in a mobile Ad hoc network should be against both inside and outside attackers. Most of the routing protocols in MANETs assume that all the nodes in a network will cooperate to each other while forwarding data packets to other nodes. But intermediate nodes may cause several problems like it can deny to forward the packet, can also extract useful information from the packet or may modify the content of packet. Such nodes are referred as malicious nodes. We present a survey of the main types of routing protocols and some security threats and various detection scheme against attack.. This paper also classifies several common attacks against the ad-hoc networks routing protocols based upon the techniques that could be used by attackers to exploit routing messages.

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