A Review on Feature Correlation Analysis Based DOS Attack Detection Systems

2015 ◽  
Author(s):  
C. Binil Anto Thampi ◽  
K. Syed Farook
Keyword(s):  
Correlation Analysis ◽  
Attack Detection ◽  
Dos Attack ◽  
Detection Systems ◽  
Feature Correlation

scholarly journals Denial-of-Service Attack Detection using multivariate Correlation Information Based SVM Method

2021 ◽  
Author(s):  
Prajakta P Solankar ◽  
Jaymala K Hipparkar
Keyword(s):  
Correlation Analysis ◽  
Denial Of Service ◽  
Attack Detection ◽  
Dos Attack ◽  
Denial Of Service Attack ◽  
Multivariate Correlation ◽  
Analysis Technique ◽  
Service Attack ◽  
Correlation Information ◽  
Triangular Area

Now day’s network technology is developing rapidly and the network security is important issue. DoS attack is serious threat in network. Denial of service attack forces victim machine out of service several days or few minutes. DoS attack degrades the system performance. This paper constitutes detecting denial of service attack using Multivariate correlation analysis technique. This approach is used to characterize the features of network traffic.This MCA method consists of Triangular area determination methodology for correlation analysis. Normalization is used before this process to remove the bias from data .Normalization technique has greater impact on the performance.

scholarly journals Standalone Behaviour-Based Attack Detection Techniques for Distributed Software Systems via Blockchain

2021 ◽  
Vol 11 (12) ◽  
pp. 5685
Author(s):  
Hosam Aljihani ◽  
Fathy Eassa ◽  
Khalid Almarhabi ◽  
Abdullah Algarni ◽  
Abdulaziz Attaallah
Keyword(s):  
Attack Detection ◽  
Detection Methods ◽  
Software Systems ◽  
Distributed Software ◽  
Detection Techniques ◽  
Detection Systems ◽  
Novel Approach ◽  
Validation Experiment ◽  
Critical Issues ◽  
Concrete Solution

With the rapid increase of cyberattacks that presently affect distributed software systems, cyberattacks and their consequences have become critical issues and have attracted the interest of research communities and companies to address them. Therefore, developing and improving attack detection techniques are prominent methods to defend against cyberattacks. One of the promising attack detection methods is behaviour-based attack detection methods. Practically, attack detection techniques are widely applied in distributed software systems that utilise network environments. However, there are some other challenges facing attack detection techniques, such as the immutability and reliability of the detection systems. These challenges can be overcome with promising technologies such as blockchain. Blockchain offers a concrete solution for ensuring data integrity against unauthorised modification. Hence, it improves the immutability for detection systems’ data and thus the reliability for the target systems. In this paper, we propose a design for standalone behaviour-based attack detection techniques that utilise blockchain’s functionalities to overcome the above-mentioned challenges. Additionally, we provide a validation experiment to prove our proposal in term of achieving its objectives. We argue that our proposal introduces a novel approach to develop and improve behaviour-based attack detection techniques to become more reliable for distributed software systems.

Computing with Words in Maritime Piracy and Attack Detection Systems

2020 ◽  
pp. 434-444
Author(s):  
Jelena Tešić ◽  
Dan Tamir ◽  
Shai Neumann ◽  
Naphtali Rishe ◽  
Abe Kandel
Keyword(s):  
Attack Detection ◽  
Computing With Words ◽  
Maritime Piracy ◽  
Detection Systems
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