Results 111 to 120 of about 3,299,036 (246)
A Semi‐Quantitative Methodology for Chemical Process Resilience Assessment
A new semi‐quantitative framework is proposed for process resilience assessment. Safety/security, productivity, and quality are integrated into the resilience evaluation. Dynamic simulations are used to quantify resilience as a time‐dependent system response.
Tommaso Capomagi +2 more
wiley +1 more source
Detection of Cyber-Attacks in a Discrete Event System Based on Deep Learning
This paper addresses the problem of cyber-attack detection in a discrete event system by proposing a novel model. The model utilizes graph convolutional networks to extract spatial features from event sequences.
Sichen Ding +4 more
doaj +1 more source
Attack Detection for Cyber Systems and Probabilistic State Estimation in Partially Observable Cyber Environments [PDF]
: Detecting cyber-attacks in cyber systems is essential for protecting cyber infrastructures from cyber-attacks. It is very difficult to detect cyber-attacks in cyber systems due to their high complexity.
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Assessment of a Model‐Based Approach to Achieve Authorization to Operate
ABSTRACT Accreditation of United States Government (USG) Information Systems (IS) is required to assure their function and security before delivery to the operational environment. However, in many cases, the baseline document‐based accreditation processes are sources of cost and schedule overruns.
Edan C. Sanchez +2 more
wiley +1 more source
Resilience Framework for Power Electronic Systems Against Cyber-Physical Attacks: A Review
This paper presents a systematic overview of the resilience framework for power electronics converter-based cyber-physical systems (CPSs), emphasizing end-to-end responses to the emerging challenges posed by cyber-physical attacks.
Chang Liu +5 more
doaj +1 more source
Cyber-attack detection method based on RNN [PDF]
Current and forthcoming market requirements bring huge challenges to today manufacturing. Answer to the changing demands and high product variety is found in the integration of the Internet of Things (IoT) and Cyber-Physical Systems (CPS) into industrial
Nedeljković, Dušan +1 more
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Abstract Internet of Medical Things (IoMT) has typical advancements in the healthcare sector with rapid potential proof for decentralised communication systems that have been applied for collecting and monitoring COVID‐19 patient data. Machine Learning algorithms typically use the risk score of each patient based on risk factors, which could help ...
Chandramohan Dhasaratha +9 more
wiley +1 more source
Owing to the integration of energy digitization and artificial intelligence technology, smart energy grids can realize the stable, efficient and clean operation of power systems.
Xinyu Wang +4 more
doaj +1 more source
Graph neural network‐based attack prediction for communication‐based train control systems
Abstract The Advanced Persistent Threats (APTs) have emerged as one of the key security challenges to industrial control systems. APTs are complex multi‐step attacks, and they are naturally diverse and complex. Therefore, it is important to comprehend the behaviour of APT attackers and anticipate the upcoming attack actions.
Junyi Zhao +3 more
wiley +1 more source
Abstract The Internet of Things (IoT) in deploying robotic sprayers for pandemic‐associated disinfection and monitoring has garnered significant attention in recent research. The authors introduce a novel architectural framework designed to interconnect smart monitoring robotic devices within healthcare facilities using narrowband Internet of Things ...
Md Motaharul Islam +9 more
wiley +1 more source

