Pregled bibliografske jedinice broj: 811584
An analytical approach for detection of gray hole attack in mobile ad-hoc network (MANET)
An analytical approach for detection of gray hole attack in mobile ad-hoc network (MANET) // Computational Intelligence and Computing Research (ICCIC), 2014 IEEE International Conference on / Dr. Madhavan Shanmugavel (ur.).
Kaniyur: Institute of Electrical and Electronics Engineers (IEEE), 2014. str. 1-5 (predavanje, međunarodna recenzija, cjeloviti rad (in extenso), znanstveni)
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Naslov
An analytical approach for detection of gray hole attack in mobile ad-hoc network (MANET)
Autori
Shukla, Parineet ; Kanthe, Ashok ; Simunic, Dina
Vrsta, podvrsta i kategorija rada
Radovi u zbornicima skupova, cjeloviti rad (in extenso), znanstveni
Izvornik
Computational Intelligence and Computing Research (ICCIC), 2014 IEEE International Conference on
/ Dr. Madhavan Shanmugavel - Kaniyur : Institute of Electrical and Electronics Engineers (IEEE), 2014, 1-5
ISBN
978-1-4799-3974-9
Skup
Computational Intelligence and Computing Research (ICCIC), 2014 IEEE International Conference on
Mjesto i datum
Coimbatore, Indija, 18.12.2014. - 20.12.2014
Vrsta sudjelovanja
Predavanje
Vrsta recenzije
Međunarodna recenzija
Ključne riječi
Mobile Ad-hoc Network; dynamic nature; gray hole attack; malicious; mobile devices; security; self-configuring
Sažetak
MANET is a continuously self-configuring, infrastructure less networks consisting of mobile devices which are connected by no any wired connection. Mobile devices are always in moving state. While transmission of data from one node to another the nodes establish a path with the help of intermediate nodes. Due to the mobility of nodes in the network the malicious nodes can be easily introduced in the network and the network can be compromised. Because of dynamic nature of the network it is important to maintain the security of the network. The performance of the network depends on the behavior of the nodes. This paper proposes a analytical approach towards detection and removal of gray hole attack in the network. The probability of the each node is calculated and depending on that the node can be detected as malicious and removed from the network. The solution depends on the behavior of the node in the particular network.
Izvorni jezik
Engleski
Znanstvena područja
Elektrotehnika
POVEZANOST RADA
Ustanove:
Fakultet elektrotehnike i računarstva, Zagreb
Profili:
Dina Šimunić
(autor)