Pregled bibliografske jedinice broj: 1132691
Filtering of Distributed Denial of Services (DDoS) Attacks in Cloud Computing Environment
Filtering of Distributed Denial of Services (DDoS) Attacks in Cloud Computing Environment // 2021 IEEE International Conference on Communications Workshops (ICC Workshops)
Montréal, Kanada, 2021. str. 1-6 doi:10.1109/ICCWorkshops50388.2021.9473886 (radionica, međunarodna recenzija, cjeloviti rad (in extenso), znanstveni)
CROSBI ID: 1132691 Za ispravke kontaktirajte CROSBI podršku putem web obrasca
Naslov
Filtering of Distributed Denial of Services (DDoS) Attacks in Cloud
Computing Environment
Autori
Gaurav, Akshat ; Gupta, Brij ; Hsu, Ching-Hsien ; Peraković, Dragan ; Penalvo, Francisco Jose Garcia
Vrsta, podvrsta i kategorija rada
Radovi u zbornicima skupova, cjeloviti rad (in extenso), znanstveni
Izvornik
2021 IEEE International Conference on Communications Workshops (ICC Workshops)
/ - , 2021, 1-6
Skup
IEEE International Conference on Communications (IEEE ICC2021)
Mjesto i datum
Montréal, Kanada, 14.07.2021. - 23.07.2021
Vrsta sudjelovanja
Radionica
Vrsta recenzije
Međunarodna recenzija
Ključne riječi
Cloud Computing ; DDoS ; Packet Score ; Clustering
Sažetak
Cloud computing is the utility sharing platform through which users can rent the services as per their requirements. Users which have low computation resources rent the services from the cloud platform and increase their performances. Anyone can join the cloud computing platforms, this makes it the target of different types of cyberattacks. A DDoS attack in one of the deadlist cyberattack that affects the performance of the cloud computing platform by making it unavailable to its users. In this paper, we proposed a statistical approach for the detection of DDoS attacks for cloud computing platforms. We implement our proposed approach using the OMNET++ simulator and from the results, it is proven that the proposed approach differentiates the attack traffic from normal traffic with a high degree of precision and efficiency.
Izvorni jezik
Engleski
Znanstvena područja
Računarstvo, Tehnologija prometa i transport, Interdisciplinarne tehničke znanosti, Informacijske i komunikacijske znanosti
Citiraj ovu publikaciju:
Časopis indeksira:
- Web of Science Core Collection (WoSCC)
- Conference Proceedings Citation Index - Science (CPCI-S)
- Scopus