A comprehensive survey on deep learning based malware detection techniques

M Gopinath, SC Sethuraman - Computer Science Review, 2023 - Elsevier
Recent theoretical and practical studies have revealed that malware is one of the most
harmful threats to the digital world. Malware mitigation techniques have evolved over the …

Internet of things (iot) security intelligence: a comprehensive overview, machine learning solutions and research directions

IH Sarker, AI Khan, YB Abushark, F Alsolami - Mobile Networks and …, 2023 - Springer
Abstract The Internet of Things (IoT) is one of the most widely used technologies today, and
it has a significant effect on our lives in a variety of ways, including social, commercial, and …

Explainable intrusion detection for cyber defences in the internet of things: Opportunities and solutions

N Moustafa, N Koroniotis, M Keshk… - … Surveys & Tutorials, 2023 - ieeexplore.ieee.org
The field of Explainable Artificial Intelligence (XAI) has garnered considerable research
attention in recent years, aiming to provide interpretability and confidence to the inner …

Survey on network slicing for Internet of Things realization in 5G networks

S Wijethilaka, M Liyanage - IEEE Communications Surveys & …, 2021 - ieeexplore.ieee.org
Internet of Things (IoT) is an emerging technology that makes people's lives smart by
conquering a plethora of diverse application and service areas. In near future, the fifth …

Machine learning for healthcare wearable devices: the big picture

F Sabry, T Eltaras, W Labda, K Alzoubi… - Journal of Healthcare …, 2022 - Wiley Online Library
Using artificial intelligence and machine learning techniques in healthcare applications has
been actively researched over the last few years. It holds promising opportunities as it is …

A critical review of intrusion detection systems in the internet of things: techniques, deployment strategy, validation strategy, attacks, public datasets and challenges

A Khraisat, A Alazab - Cybersecurity, 2021 - Springer
Abstract The Internet of Things (IoT) has been rapidly evolving towards making a greater
impact on everyday life to large industrial systems. Unfortunately, this has attracted the …

[HTML][HTML] Green IoT and edge AI as key technological enablers for a sustainable digital transition towards a smart circular economy: An industry 5.0 use case

P Fraga-Lamas, SI Lopes, TM Fernández-Caramés - Sensors, 2021 - mdpi.com
Internet of Things (IoT) can help to pave the way to the circular economy and to a more
sustainable world by enabling the digitalization of many operations and processes, such as …

A survey on IoT-enabled smart grids: emerging, applications, challenges, and outlook

A Goudarzi, F Ghayoor, M Waseem, S Fahad, I Traore - Energies, 2022 - mdpi.com
Swift population growth and rising demand for energy in the 21st century have resulted in
considerable efforts to make the electrical grid more intelligent and responsive to …

Survey on multi-access edge computing security and privacy

P Ranaweera, AD Jurcut… - … Surveys & Tutorials, 2021 - ieeexplore.ieee.org
The European Telecommunications Standards Institute (ETSI) has introduced the paradigm
of Multi-Access Edge Computing (MEC) to enable efficient and fast data processing in …

Learning-based methods for cyber attacks detection in IoT systems: A survey on methods, analysis, and future prospects

U Inayat, MF Zia, S Mahmood, HM Khalid… - Electronics, 2022 - mdpi.com
Internet of Things (IoT) is a developing technology that provides the simplicity and benefits of
exchanging data with other devices using the cloud or wireless networks. However, the …