THE DETECTION AND MITIGATION OF WORMHOLE ATTACK IN MOBILE AD-HOC NETWORK (MANET) / (Kayıt no. 283414)
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| 000 -BAŞLIK | |
|---|---|
| Sabit Uzunluktaki Kontrol Alanı | 03368nam a22002657a 4500 |
| 003 - KONTROL NUMARASI KİMLİĞİ | |
| Kontrol Alanı | KOHA_MİRAKIL |
| 005 - EN SON İŞLEM TARİHİ ve ZAMANI | |
| Kontrol Alanı | 20211203113712.0 |
| 008 - SABİT UZUNLUKTAKİ VERİ ÖGELERİ - GENEL BİLGİ | |
| Sabit Alan | 211203d2021 cy ||||| m||| 00| 0 eng d |
| 040 ## - KATALOGLAMA KAYNAĞI | |
| Özgün Kataloglama Kurumu | CY-NiCIU |
| Kataloglama Dili | eng |
| Çeviri Kurumu | CY-NiCIU |
| Açıklama Kuralları | rda |
| 041 ## - DİL KODU | |
| Metin ya da ses kaydının dil kodu | eng |
| 090 ## - Yerel Tasnif No | |
| tasnif no | D 266 |
| Cutter no | T24 2021 |
| 100 1# - KİŞİ ADI | |
| Yazar Adı (Kişi adı) | Tahboush, Muhannad Awad Abdullah M. |
| 245 14 - ESER ADI BİLDİRİMİ | |
| Başlık | THE DETECTION AND MITIGATION OF WORMHOLE ATTACK IN MOBILE AD-HOC NETWORK (MANET) / |
| Sorumluluk Bildirimi | Muhannad Awad Abdallah M Tahboush; Supervisor:Asst. Prof. Dr. Mary Agoyi |
| 264 ## - PRODUCTION, PUBLICATION, DISTRIBUTION, MANUFACTURE, AND COPYRIGHT NOTICE | |
| Date of production, publication, distribution, manufacture, or copyright notice | 2021 |
| 300 ## - FİZİKSEL TANIMLAMA | |
| Sayfa, Cilt vb. | 122 sheets; |
| Boyutları | 31 cm. |
| Birlikteki Materyal | Includes CD |
| 336 ## - CONTENT TYPE | |
| Source | rdacontent |
| Content type term | text |
| Content type code | txt |
| 337 ## - MEDIA TYPE | |
| Source | rdamedia |
| Media type term | unmediated |
| Media type code | n |
| 338 ## - CARRIER TYPE | |
| Source | rdacarrier |
| Carrier type term | volume |
| Carrier type code | nc |
| 502 ## - TEZ NOTU | |
| Tez Notu | Thesis (PHD.) - Cyprus International University. Institute of Graduate Studies and Research Computer Engineering Department |
| 504 ## - BİBLİYOGRAFİ NOTU | |
| Bibliyografi Notu | Includes bibliography (sheets 112-122) |
| 520 ## - ÖZET NOTU | |
| Özet notu | ABSTRACT<br/>Mobile Ad-hoc Network (MANET) is a popular technology that is used in the wireless<br/>network. MANET is a self-organizing mobile node that can communicate with each<br/>other directly without any centralized router and fixed infrastructure. MANET has a<br/>dynamic operation, where a node can enter the network or leaves from the network.<br/>Therefore, it is not easy to ensure that nodes are trustworthy or not. MANET suffers<br/>from different types of attacks and security threats. One of these attack is the wormhole<br/>attack. A wormhole attacks belong to most severe routing threats as they are able to<br/>disrupt a major part of the network traffic. Wormhole attack has been a major threat to<br/>MANET, therefore, various algorithms have been proposed to detect the wormhole<br/>attack, but still suffering from a unified solutions, and efficient detection for mobile<br/>ad-hoc network. Therefore, this thesis presents a detection algorithm called hybrid<br/>wormhole attack detection algorithm (HWAD) which is effective for all wormhole<br/>types, in-band and out-of-band attack. The algorithm also incurs low energy<br/>consumption and delay rates, for a variety of MANET scenarios. The proposed<br/>algorithm (HWAD) depends on checking whether every single node was affected by<br/>a wormhole or not, and then it performs the selection of the appropriate and safe route<br/>based on the transmission range, round trip time and packet delivery ratio to obtain<br/>high accuracy of detection the wormhole attack. HWAD does not based on any type<br/>of hardware equipment’s and middleware as well. The proposed hybrid algorithm<br/>HWAD was implemented through NS-2 network simulator. The performance metrics<br/>was taking into consideration to evaluate the proposed algorithm are detection rate,<br/>false positive rate, false negative rate, throughput, end to end delay, packet delivery<br/>ratio, packet loss ratio, routing overhead, and consuming energy. The simulation<br/>experimental results shown the key network performance metrics of the proposed<br/>approach HWAD outperformed in wormhole detection in comparison with other<br/>algorithms. HWAD performs exceptionally well, and can provide a high wormhole<br/>attack detection rate (DR) about 91% when the network density full with nodes.<br/>Extensive experimental results have verified the effectiveness and the efficiency of<br/>HWAD. |
| 650 #0 - KONU BAŞLIĞI EK GİRİŞ - KONU TERİMİ | |
| Konusal terim veya coğrafi ad | Computer networks |
| Alt başlık biçimi | Dissertations, Academic |
| 700 1# - EK GİRİŞ - KİŞİ ADI | |
| Yazar Adı (Kişi adı) | Agoyi, Mary |
| İlişkili Terim | supervisor |
| 9 (RLIN) | 253 |
| 942 ## - EK GİRİŞ ÖGELERİ (KOHA) | |
| Sınıflama Kaynağı | Dewey Onlu Sınıflama Sistemi |
| Materyal Türü | Thesis |
| Geri Çekilme Durumu | Kayıp Durumu | Sınıflandırma Kaynağı | Kredi için değil | Koleksiyon Kodu | Kalıcı Konum | Mevcut Konum | Raf Yeri | Kayıt Tarih | Source of acquisition | Yer Numarası | Demirbaş Numarası | Son Görülme Tarihi | Fatura Tarihi | Materyal Türü | Genel / Bağış Notu |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Dewey Onlu Sınıflama Sistemi | Tez Koleksiyonu | CIU LIBRARY | CIU LIBRARY | Tez Koleksiyonu | 03.12.2021 | Bağış | D 266 T24 2021 | T2534 | 03.12.2021 | 03.12.2021 | Thesis | Computer Engineering Department | |||
| Dewey Onlu Sınıflama Sistemi | CIU LIBRARY | CIU LIBRARY | Görsel İşitsel | 03.12.2021 | Bağış | D 266 T24 2021 | CDT2534 | 03.12.2021 | 03.12.2021 | Suppl. CD | Computer Engineering Department |