A systematic literature review on the cyber security

Y Perwej, SQ Abbas, JP Dixit, N Akhtar… - International Journal of …, 2021 - hal.science
In recent years, the Internet has become an integral element of people's everyday lifestyles
all across the world. Online criminality, on the other hand, has risen in tandem with the …

A taxonomy of supervised learning for idss in scada environments

J Suaboot, A Fahad, Z Tari, J Grundy… - ACM Computing …, 2020 - dl.acm.org
Supervisory Control and Data Acquisition (SCADA) systems play an important role in
monitoring industrial processes such as electric power distribution, transport systems, water …

An innovative perceptual pigeon galvanized optimization (PPGO) based likelihood Naïve Bayes (LNB) classification approach for network intrusion detection system

S Shitharth, PR Kshirsagar, PK Balachandran… - IEEE …, 2022 - ieeexplore.ieee.org
Intrusion detection and classification have gained significant attention recently due to the
increased utilization of networks. For this purpose, there are different types of Network …

Assessment of infrastructure resilience in multi-hazard regions: A case study of Khuzestan Province

M Arvin, P Beiki, SJ Hejazi, A Sharifi… - International Journal of …, 2023 - Elsevier
Natural hazards greatly affect the livelihood and social life of people in communities by
disrupting the process of growth and development. Assessing vulnerability and resilience …

[PDF][PDF] Machine Learning Based Approach to Anomaly and Cyberattack Detection in Streamed Network Traffic Data.

M Komisarek, M Pawlicki, R Kozik… - J. Wirel. Mob. Networks …, 2021 - isyou.info
In this paper, the performance of a solution providing stream processing is evaluated, and its
accuracy in the classification of suspicious flows in simulated network traffic is investigated …

A systemic approach for disruption risk assessment in oil and gas supply chains

A Alfaqiri, NUI Hossain, R Jaradat… - … Journal of Critical …, 2019 - inderscienceonline.com
Twenty-first century systems are characterised by rapid changes and constantly evolving
dynamics. Therefore, supply chains have become more globalised and complex than ever …

A homogeneous ensemble based dynamic artificial neural network for solving the intrusion detection problem

MS Al-Daweri, S Abdullah, KAZ Ariffin - International Journal of Critical …, 2021 - Elsevier
Network security is a mechanism of protecting the usability and integrity of any given
network and its transmitted data. Network security's effectiveness is crucial to the network …

Robust island-mode operation of power distribution network using game theory for resilience enhancement

AA Azizi, AG Shamim, ME Mosayebian - Sustainable Energy, Grids and …, 2023 - Elsevier
Given that natural disasters can cause major damage to power networks and their
customers, it is important to prevent such faults and failures from spreading from source …

Adaptive cybersecurity framework for healthcare internet of things

S Boudko, H Abie - 2019 13th International Symposium on …, 2019 - ieeexplore.ieee.org
Connecting people, processes, devices and data, the Internet of Things brings new security
challenges and may significantly increase the vulnerability of healthcare services. This …

Applying separately cost-sensitive learning and Fisher's discriminant analysis to address the class imbalance problem: A case study involving a virtual gas pipeline …

A Choubineh, DA Wood, Z Choubineh - International Journal of Critical …, 2020 - Elsevier
Critical infrastructure, including refineries, pipelines and power grids are routinely monitored
by supervisory control and data acquisition (SCADA) systems. The information exchange …