Attack-Detection Architectural Framework Based on Anomalous Patterns of System Performance and Resource Utilization—Part II

Attack-Detection Architectural Framework Based on Anomalous Patterns of System Performance and Resource Utilization—Part II

This paper presents a unique security approach for detecting cyber-attacks against embedded systems (ESs). The proposed approach has been shaped within an architectural framework called anomalous resource consumption detection (ARCD). The approach’s detection mechanism detects cyber-attac...

Full description

Bibliographic Details
Main Authors: Abdulmohsan Aloseel, Saba Al-Rubaye, Argyrios Zolotas, Carl Shaw
Format: Article
Language:English
Published: IEEE 2021-01-01
Series:IEEE Access
Subjects:
Anomalous detection
cybersecurity
embedded systems
machine learning
support vector machine algorithm
anomalous resource consumption detection framework
Online Access:https://ieeexplore.ieee.org/document/9452153/

Internet

https://ieeexplore.ieee.org/document/9452153/

Similar Items