000 03368nam a22002657a 4500
003 KOHA_MİRAKIL
005 20211203113712.0
008 211203d2021 cy ||||| m||| 00| 0 eng d
040 _aCY-NiCIU
_beng
_cCY-NiCIU
_erda
041 _aeng
090 _aD 266
_bT24 2021
100 1 _aTahboush, Muhannad Awad Abdullah M.
245 1 4 _aTHE DETECTION AND MITIGATION OF WORMHOLE ATTACK IN MOBILE AD-HOC NETWORK (MANET) /
_cMuhannad Awad Abdallah M Tahboush; Supervisor:Asst. Prof. Dr. Mary Agoyi
264 _c2021
300 _a122 sheets;
_c31 cm.
_eIncludes CD
336 _2rdacontent
_atext
_btxt
337 _2rdamedia
_aunmediated
_bn
338 _2rdacarrier
_avolume
_bnc
502 _aThesis (PHD.) - Cyprus International University. Institute of Graduate Studies and Research Computer Engineering Department
504 _aIncludes bibliography (sheets 112-122)
520 _aABSTRACT Mobile Ad-hoc Network (MANET) is a popular technology that is used in the wireless network. MANET is a self-organizing mobile node that can communicate with each other directly without any centralized router and fixed infrastructure. MANET has a dynamic operation, where a node can enter the network or leaves from the network. Therefore, it is not easy to ensure that nodes are trustworthy or not. MANET suffers from different types of attacks and security threats. One of these attack is the wormhole attack. A wormhole attacks belong to most severe routing threats as they are able to disrupt a major part of the network traffic. Wormhole attack has been a major threat to MANET, therefore, various algorithms have been proposed to detect the wormhole attack, but still suffering from a unified solutions, and efficient detection for mobile ad-hoc network. Therefore, this thesis presents a detection algorithm called hybrid wormhole attack detection algorithm (HWAD) which is effective for all wormhole types, in-band and out-of-band attack. The algorithm also incurs low energy consumption and delay rates, for a variety of MANET scenarios. The proposed algorithm (HWAD) depends on checking whether every single node was affected by a wormhole or not, and then it performs the selection of the appropriate and safe route based on the transmission range, round trip time and packet delivery ratio to obtain high accuracy of detection the wormhole attack. HWAD does not based on any type of hardware equipment’s and middleware as well. The proposed hybrid algorithm HWAD was implemented through NS-2 network simulator. The performance metrics was taking into consideration to evaluate the proposed algorithm are detection rate, false positive rate, false negative rate, throughput, end to end delay, packet delivery ratio, packet loss ratio, routing overhead, and consuming energy. The simulation experimental results shown the key network performance metrics of the proposed approach HWAD outperformed in wormhole detection in comparison with other algorithms. HWAD performs exceptionally well, and can provide a high wormhole attack detection rate (DR) about 91% when the network density full with nodes. Extensive experimental results have verified the effectiveness and the efficiency of HWAD.
650 0 _aComputer networks
_vDissertations, Academic
700 1 _aAgoyi, Mary
_esupervisor
_9253
942 _2ddc
_cTS
999 _c283414
_d283414