scholarly journals Perancangan Bot Untuk Monitoring Server Dari Serangan Distributed Denial Of Service Menggunakan JSON WEB Token

2020 ◽  
Vol 16 (2) ◽  
pp. 116
Author(s):  
Arif Maulana Rahman ◽  
Henki Bayu Seta ◽  
Ria Astriratma
Keyword(s):  
Denial Of Service ◽  
Distributed Denial Of Service ◽  
Syn Flooding

Untuk mengamankan sebuah server diperlukan sistem monitoring agar meminimalisir resiko jika terjadi percobaan intrusi. Contoh serangan yang dapat mengancam server adalah serangan DDOS (Distributed Denial of Service). Berdasarkan permasalahan tersebut, diperlukan sebuah bot untuk melakukan monitoring server dari serangan DDOS, dalam penelitian ini difokuskan serangan DDOS berjenis UDP Flooding dan SYN Flooding. Monitoring server memanfaatkan bot untuk mendeteksi serangan DDOS berjenis UDP Flooding dan SYN Flooding dengan membatasi jumlah paket yang dikirimkan kepada port yang dibuka oleh server, apabila jumlah paket yang dikirimkan lebih dari 100 paket per detik maka bot akan mengidentifikasi pengiriman tersebut sebagai serangan. Penerapan metode JSON Web Token agar bisa dioperasikan oleh bot admin server yakni dengan mengimplementasikan package JSON Web Token pada bot lalu memanggil fungsi encode agar JSON Web Token dapat melakukan enkripsi pada klaim yang berisikan data penyerang oleh bot, sehingga bot admin server dapat mengamankan klaim yang akan dikirimkan ke admin server.

HULK and DDoS Attacks in Web Applications with Detection Mechanism

2018 ◽  
Vol 6 (6) ◽  
pp. 192
Author(s):  
Amit Sharma
Keyword(s):  
Web Applications ◽  
Denial Of Service ◽  
Single Server ◽  
Distributed Denial Of Service ◽  
Ddos Attacks ◽  
Application Layer ◽  
Detection Mechanism ◽  
Plan Execution ◽  
Social Affair ◽  
Server Application

Distributed Denial of Service attacks are significant dangers these days over web applications and web administrations. These assaults pushing ahead towards application layer to procure furthermore, squander most extreme CPU cycles. By asking for assets from web benefits in gigantic sum utilizing quick fire of solicitations, assailant robotized programs use all the capacity of handling of single server application or circulated environment application. The periods of the plan execution is client conduct checking and identification. In to beginning with stage by social affair the data of client conduct and computing individual user’s trust score will happen and Entropy of a similar client will be ascertained. HTTP Unbearable Load King (HULK) attacks are also evaluated. In light of first stage, in recognition stage, variety in entropy will be watched and malevolent clients will be recognized. Rate limiter is additionally acquainted with stop or downsize serving the noxious clients. This paper introduces the FAÇADE layer for discovery also, hindering the unapproved client from assaulting the framework.

Mitigating Distributed Denial of Service Attacks with Dynamic Resource Pricing

2001 ◽  
Author(s):  
David Mankins ◽  
Rajesh Krishnan ◽  
Ceilyn Boyd ◽  
John Zao ◽  
Michael Frentz
Keyword(s):  
Denial Of Service ◽  
Denial Of Service Attacks ◽  
Distributed Denial Of Service ◽  
Resource Pricing ◽  
Dynamic Resource

Distributed Denial of Service-Defense Attack Tradeoff Analysis (DDOS-DATA)

2004 ◽  
Author(s):  
W. J. Blackert ◽  
R. L. Hom ◽  
A. K. Castner ◽  
R. M. Jokerst ◽  
D. M. Gregg
Keyword(s):  
Denial Of Service ◽  
Distributed Denial Of Service ◽  
Tradeoff Analysis
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