Umbra: Embedded Web Security Through Application-Layer Firewalls

2016 ◽  
pp. 112-126
Author(s):  
Travis Finkenauer ◽  
J. Alex Halderman
Keyword(s):  
Web Security ◽  
Application Layer ◽  
Embedded Web

Exploration of Web Page Structural Patterns Based on Request Dependency Graph Decomposition

2016 ◽  
Vol 8 (4) ◽  
pp. 1-13
Author(s):  
Cheng Fang ◽  
Bo Ya Liu
Keyword(s):  
Security Analysis ◽  
Nonnegative Matrix ◽  
Web Security ◽  
Graph Decomposition ◽  
Dependency Graph ◽  
Identification Algorithm ◽  
Web Page ◽  
Structural Patterns ◽  
Web Information ◽  
Embedded Web

This article first proposed a Bipartite Request Dependency Graph (BRDG) that describes the object-level interrelationships between user click requests and embedded web object requests. These two kinds of requests are classified from HTTP data by an identification algorithm. The interrelationships between user click requests and embedded web object reflect the web page structural, which contain latent web information. Exploring structural patterns is crucial for many aspects like web security analysis and web information visualization. Accordingly, the article also proposed a novel graph decomposition method called orthogonal nonnegative matrix tri-factorization (tNMF) to the BRDG. Compared to traditional web graph analysis focus on statistical and structural properties of the whole graph, the proposed method is dedicated to mine latent web structural patterns. Decomposition results demonstrate that several interesting structures exist in the BRDG. The article aims at classifying these subgraphs as several structural patterns and shedding light on the causes of these patterns.

scholarly journals Comparison of Signature Based Techniques

2021 ◽  
Vol 10 (2) ◽  
pp. 1381-1391
Keyword(s):  
Web Security ◽  
Security System ◽  
Application Layer ◽  
Huge Amount ◽  
Web Based

A huge amount of research is being done on web-based attacks, and as a result, many security mechanisms have been introduced. But, due to their very flexible nature, they are not as effective in the defense of attacks as they should be. Therefore, the proposed system designed an effective web security system that can detect attacks using digital attacks of signature.This system will be able to use modern signature-based technique for demonstrate information and it will be deployed on crest of the Visual Studio framework. An application layer attack, such as a Trojan attack, will be detected and protected by such a system. We are optimistic that such a system would work and demonstrate a better signature-based system, which will be compared to Avast.

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.

DETECTION OF ANOMALY BASED APPLICATION LAYER DDoS ATTACKS USING MACHINE LEARNING APPROACHES

2016 ◽  
Vol 4 (2) ◽  
pp. 6
Author(s):  
VANI NIDHI M.S.P.S. ◽  
PRASAD K. MUNIVARA ◽  
◽  
Keyword(s):  
Machine Learning ◽  
Learning Approaches ◽  
Ddos Attacks ◽  
Application Layer

Mitigation of Application Layer DDoS Flood Attack Against Web Servers

2019 ◽  
Vol 2 (1) ◽  
Author(s):  
Ahamed Aljuhani ◽  
Talal Alharbi ◽  
Bradley Taylor
Keyword(s):  
Application Layer ◽  
Web Servers
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