Vulnerability Assessment
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A Review of Machine and Deep Learning Techniques for Cyber Security
Abstract: Nowadays in the digital landscape, cyber threats and attacks are increasing in an exponential manner, posing server risks to organizations and critical infrastructures. Data breaches often result from sophisticated threat models that exploit vulnerabilities in networks, systems and user behaviors. Cyber solutions are increasingly incorporating machine learning and deep learning to prevent and mitigate these security issues. These technologies have the potential to detect anomalies, classify threats and predict potential …
Published in Journal of Computer Technology & Applications · Vol. 16, Issue 3, 2025 · pp. 01–07 Read article
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A Study on Determination of Seismic Susceptibility in Existing Buildings in Ward No-18 of Dhaka North Using Rapid Visual Screening (RVS) Method
Abstract: The research work presents a comprehensive analysis of the Rapid Visual Screening (RVS) method applied to 200 buildings in Ward No. 18 of Dhaka North City. The study focused on assessing the seismic vulnerability of these structures, categorizing them into damage grades based on the RVS evaluation. Strikingly, the findings revealed that 191 out of the 200 buildings were classified as damage grade 5, signifying severe structural deficiencies. In contrast, …
Published in International Journal of Climate Conditions · Vol. 1, Issue 1, 2024 · pp. 28–37 Read article
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Cyber Security Evaluation for a Petroleum Refinery Using Attack Tree Methodology and Economic Indexes
Abstract: Information Technology (IT) is vital and valuable to our society. An important type of IT system is Supervisory Control and Data Acquisition (SCADA) systems. The most common misconception regarding the security of SCADA was that this network was electronically isolated from other networks and hence attackers could not access them. Over the years SCADA systems have become incorporated with other IT systems, which has made them becoming increasingly vulnerable to …
Published in Emerging Trends in Chemical Engineering Read article