Data-Driven Kinetic Cyber-Attack Detection

2020 ◽  
pp. 91-109
Author(s):  
Sujit Rokka Chhetri ◽  
Mohammad Abdullah Al Faruque
Keyword(s):  
Attack Detection ◽  
Data Driven ◽  
Cyber Attack

Data-Driven Cyber-Attack Detection for PV Farms via Time-Frequency Domain Features

2021 ◽  
pp. 1-1
Author(s):  
Lulu Guo ◽  
Jinan Zhang ◽  
Jin Ye ◽  
Stephen James Coshatt ◽  
Wenzhan Song
Keyword(s):  
Frequency Domain ◽  
Attack Detection ◽  
Data Driven ◽  
Cyber Attack ◽  
Time Frequency

Multilayer Data-Driven Cyber-Attack Detection System for Industrial Control Systems Based on Network, System, and Process Data

2019 ◽  
Vol 15 (7) ◽  
pp. 4362-4369 ◽  
Author(s):  
Fan Zhang ◽  
Hansaka Angel Dias Edirisinghe Kodituwakku ◽  
J. Wesley Hines ◽  
Jamie Coble
Keyword(s):  
Control Systems ◽  
Detection System ◽  
Attack Detection ◽  
Data Driven ◽  
Network System ◽  
Cyber Attack ◽  
Process Data ◽  
Industrial Control ◽  
Industrial Control Systems

scholarly journals Attack Categorisation for IoT Applications in Critical Infrastructures, a Survey

2021 ◽  
Vol 11 (16) ◽  
pp. 7228
Author(s):  
Edward Staddon ◽  
Valeria Loscri ◽  
Nathalie Mitton
Keyword(s):  
Critical Infrastructure ◽  
Attack Detection ◽  
Critical Infrastructures ◽  
Cyber Attack ◽  
Specific System ◽  
Iot Applications ◽  
War Zone ◽  
Clear Vision ◽  
The Internet Of Things ◽  
Do So

With the ever advancing expansion of the Internet of Things (IoT) into our everyday lives, the number of attack possibilities increases. Furthermore, with the incorporation of the IoT into Critical Infrastructure (CI) hardware and applications, the protection of not only the systems but the citizens themselves has become paramount. To do so, specialists must be able to gain a foothold in the ongoing cyber attack war-zone. By organising the various attacks against their systems, these specialists can not only gain a quick overview of what they might expect but also gain knowledge into the specifications of the attacks based on the categorisation method used. This paper presents a glimpse into the area of IoT Critical Infrastructure security as well as an overview and analysis of attack categorisation methodologies in the context of wireless IoT-based Critical Infrastructure applications. We believe this can be a guide to aid further researchers in their choice of adapted categorisation approaches. Indeed, adapting appropriated categorisation leads to a quicker attack detection, identification, and recovery. It is, thus, paramount to have a clear vision of the threat landscapes of a specific system.

Stochastic Fault and Cyber-Attack Detection and Consensus Control in Multi-Agent Systems

2021 ◽  
pp. 1-35
Author(s):  
Ali Eslami ◽  
Farzaneh Abdollahi ◽  
Khashayar Khorasani
Keyword(s):  
Attack Detection ◽  
Cyber Attack ◽  
Multi Agent Systems ◽  
Consensus Control ◽  
Agent Systems ◽  
Multi Agent

scholarly journals Cyber Attack Detection based on Wavelet Singular Entropy in AC Smart Islands: False Data Injection Attack

IEEE Access ◽  
2021 ◽  
pp. 1-1
Author(s):  
Moslem Dehghani ◽  
Mohammad Ghiasi ◽  
Taher Niknam ◽  
Abdollah Kavousi-Fard ◽  
Elham Tajik ◽  
...  
Keyword(s):  
Attack Detection ◽  
Cyber Attack ◽  
False Data Injection ◽  
False Data Injection Attack

scholarly journals Algorithm selection framework for cyber attack detection

2020 ◽  
Author(s):  
Marc Chalé ◽  
Nathaniel D. Bastian ◽  
Jeffery Weir
Keyword(s):  
Attack Detection ◽  
Cyber Attack ◽  
Algorithm Selection ◽  
Selection Framework

IoT Cyber-Attack Detection: A Comparative Analysis

2021 ◽  
Author(s):  
Abdul Hanan K. Mohammed ◽  
Hrag Jebamikyous ◽  
Dina Nawara ◽  
Rasha Kashef
Keyword(s):  
Comparative Analysis ◽  
Attack Detection ◽  
Cyber Attack

A Cyber-Attack Detection Model Based on Multivariate Analyses

2009 ◽  
Vol E92-A (7) ◽  
pp. 1585-1592
Author(s):  
Yuto SAKAI ◽  
Koichiro RINSAKA ◽  
Tadashi DOHI
Keyword(s):  
Multivariate Analyses ◽  
Attack Detection ◽  
Cyber Attack ◽  
Detection Model ◽  
Model Based
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