Prilog razvoju metode za detekciju napada ometanjem usluge na Internetu / A contribution to the method for detection of denial of service attacks inInternet

Description

<p>U ovoj doktorskoj disertaciji predložen je i analiziran metod koji kombinuje primenu entropije odabranih obeležja mrežnog saobraćaja i Takagi-Sugeno-Kang (TSK) neuro-fazi modela u detekciji DoS napada. Entropija je primenjena jer omogućava detekciju širokog spektra statističkih anomalija uzrokovanih DoS napadima dok TSK neuro-fazi model daje dodatni kvalitet u konačnom određivanju tačaka početka i kraja napada povećavajući odnos ispravno i pogrešno detektovanih napada.</p> / <p>In this thesis a new method for DoS attack detection is proposed. This method<br />combines the use of entropy of some characteristic parameters of network traffic<br />and Takagi-Sugeno-Kang (TSK) neuro-fuzzy model. Entropy has been used because<br />it enables detection of wide spectar of network anomalies caused by DoS attacks,<br />while TSK adds new value to final detection of the start and the end of an attack<br />increasing ratio between true and false detections.</p>

Links & Downloads

1. https://www.cris.uns.ac.rs/DownloadFileServlet/Disertacija152716019136074.pdf?controlNumber=(BISIS)107396&fileName=152716019136074.pdf&id=11419&source=NDLTD&language=en
2. https://www.cris.uns.ac.rs/record.jsf?recordId=107396&source=NDLTD&language=en

Tags

Additional Fields

Identifer	oai:union.ndltd.org:uns.ac.rs/oai:CRISUNS:(BISIS)107396
Date	24 September 2018
Creators	Petković Miodrag
Contributors	Bašičević Ilija, Popović Miroslav, Teslić Nikola, Tomašević Milo, Kukolj Dragan
Publisher	Univerzitet u Novom Sadu, Fakultet tehničkih nauka u Novom Sadu, University of Novi Sad, Faculty of Technical Sciences at Novi Sad
Source Sets	University of Novi Sad
Language	Serbian
Detected Language	Unknown
Type	PhD thesis