Mitigating dynamic DoS attacks in mobile ad hoc network

2016 ◽  
Author(s):  
Bhavin Joshi ◽  
Nikhil Kumar Singh
Keyword(s):  
Ad Hoc Network ◽  
Ad Hoc ◽  
Mobile Ad Hoc Network ◽  
Dos Attacks ◽  
Mobile Ad Hoc

Reputation-based secure routing protocol in mobile ad-hoc network using Jaya Cuckoo optimization

2019 ◽  
Vol 10 (03) ◽  
pp. 1950014 ◽  
Author(s):  
Ch. Ram Mohan ◽  
Venugopal Reddy Ananthula
Keyword(s):  
Ad Hoc Network ◽  
Ad Hoc ◽  
Mobile Ad Hoc Network ◽  
Fitness Function ◽  
Denial Of Service ◽  
Cuckoo Search ◽  
Secure Routing ◽  
Dos Attacks ◽  
Security Issues ◽  
Mobile Ad Hoc

The advancements in Mobile Ad-hoc Network (MANET) are suitable to wide applications, which involve military applications, civilian domains, and disaster recovery systems. It is assumed that the nodes present in the routing protocols of MANETs are cooperative and trustworthy. This assumption makes MANET more prone to manipulation and interception, which generates several possibilities of different suspicious attacks, such as Denial of Service (DoS) attacks. Hence, security is considered as an important parameter as the network is fond of suspicious attacks. This paper addresses the security issues by proposing an optimization algorithm, named Jaya Cuckoo Search (JCS) algorithm, which is the combination of Jaya algorithm and Cuckoo Search (CS) algorithm for initiating secure route among the MANET nodes so that the path attained is feasible and secure. The proposed JCS algorithm uses a fitness function, which considers a multiobjective function using parameters, such as distance, link lifetime, delay, energy, trust, along with the reputation factor to select a secured path. The JCS algorithm shows maximum performance with energy, throughput, and PDR values as 27.826[Formula: see text]J, 0.554, and 0.628, respectively.

scholarly journals Efficient DoS Attacks Detection Technique in Mobile Ad-hoc Network

2013 ◽  
Vol 67 (5) ◽  
pp. 28-33
Author(s):  
Anita Namdev ◽  
Vineet Richharia ◽  
Vivek Richharia
Keyword(s):  
Ad Hoc Network ◽  
Ad Hoc ◽  
Mobile Ad Hoc Network ◽  
Detection Technique ◽  
Dos Attacks ◽  
Mobile Ad Hoc

A Survey Study on Attacks in MANET Ad-Hoc Network

2017 ◽  
Vol 7 (7) ◽  
pp. 387
Author(s):  
. Harpal ◽  
Gaurav Tejpal ◽  
Sonal Sharma
Keyword(s):  
Routing Protocol ◽  
Ad Hoc Network ◽  
Ad Hoc ◽  
Mobile Ad Hoc Network ◽  
Survey Study ◽  
Short Article ◽  
The People ◽  
Distance Vector ◽  
Mobile Ad Hoc ◽  
Real World Problems

In this time of instant units, Mobile Ad-hoc Network(MANET) has become an indivisible part for transmission for mobile devices. Therefore, curiosity about study of Mobile Ad-hoc Network has been growing because last several years. In this report we have mentioned some simple routing protocols in MANET like Destination Sequenced Distance Vector, Active Source Redirecting, Temporally-Ordered Redirecting Algorithm and Ad-hoc On Need Distance Vector. Protection is just a serious problem in MANETs because they are infrastructure-less and autonomous. Principal target of writing this report is to handle some simple problems and security considerations in MANET, operation of wormhole strike and acquiring the well-known routing protocol Ad-hoc On Need Distance Vector. This short article will be a great help for the people performing study on real world problems in MANET security.

Performance Comparison of MANET, VANET and FANET

2018 ◽  
Vol 8 (5) ◽  
pp. 132
Author(s):  
Aarti Sahu ◽  
Laxmi Shrivastava
Keyword(s):  
Fuzzy Logic ◽  
Wireless Network ◽  
Packet Loss ◽  
Ad Hoc Network ◽  
Fuzzy Logic Controller ◽  
Ad Hoc ◽  
Mobile Ad Hoc Network ◽  
Performance Comparison ◽  
Fuzzy Rules ◽  
Mobile Ad Hoc

A wireless ad hoc network is a decentralized kind of wireless network. It is a kind of temporary Computer-to-Computer connection. It is a spontaneous network which includes mobile ad-hoc network (MANET), vehicular ad-hoc network (VANET) and Flying ad-hoc network (FANET). Mobile Ad Hoc Network (MANET) is a temporary network that can be dynamically formed to exchange information by wireless nodes or routers which may be mobile. A VANET is a sub form of MANET. It is an technology that uses vehicles as nodes in a network to make a mobile network. FANET is an ad-hoc network of flying nodes. They can fly independently or can be operated distantly. In this research paper Fuzzy based control approaches in wireless network detects & avoids congestion by developing the ad-hoc fuzzy rules as well as membership functions.In this concept, two parameters have been used as: a) Channel load b) The size of queue within intermediate nodes. These parameters constitute the input to Fuzzy logic controller. The output of Fuzzy logic control (sending rate) derives from the conjunction with Fuzzy Rules Base. The parameter used input channel load, queue length which are produce the sending rate output in fuzzy logic. This fuzzy value has been used to compare the MANET, FANET and VANET in terms of the parameters Throughput, packet loss ratio, end to end delay. The simulation results reveal that usage of Qual Net 6.1 simulator has reduced packet-loss in MANET with comparing of VANET and FANET.

Localization and Non-Localization Node Identification Using Dream in MANET

2016 ◽  
Vol 2 (2) ◽  
Author(s):  
Amit Singh ◽  
Nitin Mishra ◽  
Angad Singh
Keyword(s):  
Ad Hoc Network ◽  
Ad Hoc ◽  
Mobile Ad Hoc Network ◽  
Fundamental Problem ◽  
Identification Algorithm ◽  
Mobile Nodes ◽  
Position Information ◽  
Location Services ◽  
Wireless Router ◽  
Mobile Ad Hoc

 A Wireless Mobile Ad-hoc Network consists of variety of mobile nodes that temporally kind a dynamic infrastructure less network. To modify communication between nodes that don’t have direct radio contact, every node should operate as a wireless router and potential forward knowledge traffic of behalf of the opposite node. In MANET Localization is a fundamental problem. Current localization algorithm mainly focuses on checking the localizability of a network and/or how to localize as many nodes as possible. It could provide accurate position information foe kind of expanding application. Localization provide information about coverage, deployment, routing, location, services, target tracking and rescue If high mobility among the mobile nodes occurs path failure breaks. Hence the location information cannot be predicted. Here we have proposed a localization based algorithm which will help to provide information about the localized and non-localized nodes in a network. In the proposed approach DREAM protocol and AODV protocol are used to find the localizability of a node in a network. DREAM protocol is a location protocol which helps to find the location of a node in a network whereas AODV is a routing protocol it discover route as and when necessary it does not maintain route from every node to every other. To locate the mobile nodes in a n/w an node identification algorithm is used. With the help of this algorithm localized and non-localized node can be easily detected in respect of radio range. This method helps to improve the performance of a module and minimize the location error and achieves improved performance in the form of UDP packet loss, received packet and transmitted packets, throughput, routing overhead, packet delivery fraction. All the simulation done through the NS-2 module and tested the mobile ad-hoc network.

Sign in / Sign up

Export Citation Format

Share Document