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An Efficient Hybrid Protocol Framework for DDoS Attack Detection and Mitigation Using Evolutionary Technique, Journal of Telecommunications and Information Technology, 2022, nr 4
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Tytuł: An Efficient Hybrid Protocol Framework for DDoS Attack Detection and Mitigation Using Evolutionary Technique, Journal of Telecommunications and Information Technology, 2022, nr 4

Autor:

Gururaj, Murtugudde ; Yerriswamy, T.

Data wydania:

2022, nr 4

Typ zasobu:

artykuł

Opis:

The ever-increasing use of the Internet has created massive amounts network traffic, causing problems related to its scalability, controllability, and manageability. Sophisticated network-based denial of service (DoS) and distributed denial of service (DDoS) attacks increasingly pose a future threat. The literature proposes various methods that may help stop all HTTP DoS/DDoS assaults, but no optimal solution has been identified so far. Therefore, this paper attempts to fill the gap by proposing an alternative solution known as an efficient hybrid protocol framework for distributed DoS attack detection and mitigation (E-HPFDDM). Such an architecture addresses all aspects of these assaults by relaying on a three-layer mechanism. Layer 1 uses the outer advanced blocking (OAB) scheme which blocks unauthorized IP sources using an advanced backlisted table. Layer 2 is a validation layer that relies on the inner service trackback (IST) scheme to help determine whether the inbound request has been initiated by a legitimate or an illegitimate user. Layer 3 (inner layer) uses the deep entropy based (DEB) scheme to identify, classify and mitigate high-rate DDoS (HR-DDoS) and flash crowd (FC) attacks. The research shows that in contrast to earlier studies, the structure of the proposed system offers effective defense against DoS/DDoS assaults for web applications.

Wydawca:

Instytut Łączności - Państwowy Instytut Badawczy

Format:

application/pdf

Identyfikator zasobu:

oai:bc.itl.waw.pl:2256 ; ISSN 1509-4553, on-line: ISSN 1899-8852

DOI:

10.26636/jtit.2022.165122

eISSN:

1899-8852

Źródło:

Journal of Telecommunications and Information Technology

Język:

ang

Prawa:

Biblioteka Naukowa Instytutu Łączności

Temat i słowa kluczowe:

deep entropy based scheme outer advanced blocking distributed denial of service denial of service high-rate DDoS flash crowd inner service trackback

Kolekcje, do których przypisany jest obiekt:

Data ostatniej modyfikacji:

6 cze 2024

Data dodania obiektu:

7 lut 2023

Liczba wyświetleń treści obiektu:

43

Wszystkie dostępne wersje tego obiektu:

https://bc.itl.waw.pl/publication/2565

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Nazwa wydania Data
Gururaj, Murtugudde, An Efficient Hybrid Protocol Framework for DDoS Attack Detection and Mitigation Using Evolutionary Technique, Journal of Telecommunications and Information Technology, 2022, nr 4 6 cze 2024
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Adres

Instytut Łączności – Państwowy Instytut Badawczy ul. Szachowa 1 04-894 Warszawa

Telefon

(+48) 5128 696

E-Mail

biblioteka@il-pib.pl

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