A secured multiplicative Diffie Hellman key exchange routing approach for mobile ad hoc network

2019 ◽  
Author(s):  
T. Manjula ◽  
B. Anand
Keyword(s):  
Ad Hoc Network ◽  
Ad Hoc ◽  
Mobile Ad Hoc Network ◽  
Key Exchange ◽  
Diffie Hellman ◽  
Mobile Ad Hoc ◽  
Diffie Hellman Key Exchange

scholarly journals Secured by Fluctuating Topology Using the Fluctuating Topology of MANETs to Secure Key Exchange

Electronics ◽  
2019 ◽  
Vol 8 (10) ◽  
pp. 1172 ◽  
Author(s):  
Ariel Stulman ◽  
Alan Stulman
Keyword(s):  
Ad Hoc Network ◽  
Ad Hoc ◽  
Mobile Ad Hoc Network ◽  
New Technologies ◽  
Key Exchange ◽  
Communication Model ◽  
Peer Communication ◽  
Future Directions ◽  
Mobile Ad Hoc ◽  
Pervasive Computation

vanets, iot, and many other acronyms represent exciting new technologies that build upon pervasive computation and communications to achieve their goal. As an underlying communication model, the (mobile) ad hoc network (manet) paradigm is used, which implements a peer-to-peer communication model rather than the more traditional infrastructure model. Of course, privacy, confidentiality, integrity, and security related issues are of utter importance in such contexts as well. In this paper, we wish to present a key exchange technique, which builds upon the inherent characteristic of manets: their fluctuating topology. By splitting key exchange information into multiple parts and spraying them over space or time, the ever-changing topology of the network almost completely removes an active attacker’s success ratio. Algorithms are then simulated, and the results presented and discussed. We further point to future directions and uses for this research.

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.

Analysis of Link Prediction Method for Link Recovery in Mobile Ad-hoc Network

2017 ◽  
Vol 7 (5) ◽  
pp. 849-854
Author(s):  
◽  
Jatinder Kaur ◽  
Danvir Mandal ◽  
Rajneesh Talwar ◽  
◽  
...  
Keyword(s):  
Ad Hoc Network ◽  
Link Prediction ◽  
Ad Hoc ◽  
Mobile Ad Hoc Network ◽  
Prediction Method ◽  
Mobile Ad Hoc

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.

Finding Trusted Node in Mobile Ad-Hoc Network

2019 ◽  
Vol 7 (5) ◽  
pp. 684-689
Author(s):  
G. Viswanathan ◽  
M. Jayakumar
Keyword(s):  
Ad Hoc Network ◽  
Ad Hoc ◽  
Mobile Ad Hoc Network ◽  
Mobile Ad Hoc
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