AI-based modeling: techniques, applications and research issues towards automation, intelligent and smart systems

IH Sarker - SN computer science, 2022 - Springer
Artificial intelligence (AI) is a leading technology of the current age of the Fourth Industrial
Revolution (Industry 4.0 or 4IR), with the capability of incorporating human behavior and …

Machine learning for intelligent data analysis and automation in cybersecurity: current and future prospects

IH Sarker - Annals of Data Science, 2023 - Springer
Due to the digitization and Internet of Things revolutions, the present electronic world has a
wealth of cybersecurity data. Efficiently resolving cyber anomalies and attacks is becoming a …

[HTML][HTML] A comprehensive review study of cyber-attacks and cyber security; Emerging trends and recent developments

Y Li, Q Liu - Energy Reports, 2021 - Elsevier
At present, most of the economic, commercial, cultural, social and governmental activities
and interactions of countries, at all levels, including individuals, non-governmental …

[HTML][HTML] Deep learning: a comprehensive overview on techniques, taxonomy, applications and research directions

IH Sarker - SN computer science, 2021 - Springer
Deep learning (DL), a branch of machine learning (ML) and artificial intelligence (AI) is
nowadays considered as a core technology of today's Fourth Industrial Revolution (4IR or …

Detecting cybersecurity attacks in internet of things using artificial intelligence methods: A systematic literature review

M Abdullahi, Y Baashar, H Alhussian, A Alwadain… - Electronics, 2022 - mdpi.com
In recent years, technology has advanced to the fourth industrial revolution (Industry 4.0),
where the Internet of things (IoTs), fog computing, computer security, and cyberattacks have …

Data science and analytics: an overview from data-driven smart computing, decision-making and applications perspective

IH Sarker - SN Computer Science, 2021 - Springer
The digital world has a wealth of data, such as internet of things (IoT) data, business data,
health data, mobile data, urban data, security data, and many more, in the current age of the …

Advancing cybersecurity: a comprehensive review of AI-driven detection techniques

AH Salem, SM Azzam, OE Emam, AA Abohany - Journal of Big Data, 2024 - Springer
As the number and cleverness of cyber-attacks keep increasing rapidly, it's more important
than ever to have good ways to detect and prevent them. Recognizing cyber threats quickly …

[HTML][HTML] Multi-aspect rule-based AI: Methods, taxonomy, challenges and directions towards automation, intelligence and transparent cybersecurity modeling for critical …

IH Sarker, H Janicke, MA Ferrag, A Abuadbba - Internet of Things, 2024 - Elsevier
Critical infrastructure (CI) typically refers to the essential physical and virtual systems, assets,
and services that are vital for the functioning and well-being of a society, economy, or nation …

M-MultiSVM: An efficient feature selection assisted network intrusion detection system using machine learning

AV Turukmane, R Devendiran - Computers & Security, 2024 - Elsevier
The intrusions are increasing daily, so there is a huge amount of privacy violations, financial
loss, illegal transferring of information, etc. Various forms of intrusion occur in networks, such …

Smart City Data Science: Towards data-driven smart cities with open research issues

IH Sarker - Internet of Things, 2022 - Elsevier
Cities are undergoing huge shifts in technology and operations in recent days, and 'data
science'is driving the change in the current age of the Fourth Industrial Revolution (Industry …