A survey on COVID-19 impact in the healthcare domain: worldwide market implementation, applications, security and privacy issues, challenges and future prospects

T Shakeel, S Habib, W Boulila, A Koubaa… - Complex & intelligent …, 2023 - Springer
Extensive research has been conducted on healthcare technology and service
advancements during the last decade. The Internet of Medical Things (IoMT) has …

Deep learning approach for SDN-enabled intrusion detection system in IoT networks

R Chaganti, W Suliman, V Ravi, A Dua - Information, 2023 - mdpi.com
Owing to the prevalence of the Internet of things (IoT) devices connected to the Internet, the
number of IoT-based attacks has been growing yearly. The existing solutions may not …

Deep learning techniques for the classification of brain tumor: A comprehensive survey

A Younis, L Qiang, M Khalid, B Clemence… - IEEE …, 2023 - ieeexplore.ieee.org
Researchers have given immense consideration to unsupervised approaches because of
their tendency for automatic feature generation and excellent performance with a reduced …

Deepfake audio detection via MFCC features using machine learning

A Hamza, ARR Javed, F Iqbal, N Kryvinska… - IEEE …, 2022 - ieeexplore.ieee.org
Deepfake content is created or altered synthetically using artificial intelligence (AI)
approaches to appear real. It can include synthesizing audio, video, images, and text …

A Critical Investigation and Analysis of Strategic Techniques Before Approving Cloud Computing Service Frameworks

VV Vegesna - International Journal of Management, Technology …, 2023 - papers.ssrn.com
Cloud computing is becoming increasingly fashionable in distributed computing
environment. Processing and Data storage use cloud environment is becoming a movement …

Unmasking cybercrime with artificial-intelligence-driven cybersecurity analytics

A Djenna, E Barka, A Benchikh, K Khadir - Sensors, 2023 - mdpi.com
Cybercriminals are becoming increasingly intelligent and aggressive, making them more
adept at covering their tracks, and the global epidemic of cybercrime necessitates significant …

[HTML][HTML] A comprehensive analysis of the role of artificial intelligence and machine learning in modern digital forensics and incident response

D Dunsin, MC Ghanem, K Ouazzane… - Forensic Science …, 2024 - Elsevier
In the dynamic landscape of digital forensics, the integration of Artificial Intelligence (AI) and
Machine Learning (ML) stands as a transformative technology, poised to amplify the …

NLP-based digital forensic analysis for online social network based on system security

Z Shahbazi, YC Byun - … journal of environmental research and public …, 2022 - mdpi.com
Social media evidence is the new topic in digital forensics. If social media information is
correctly explored, there will be significant support for investigating various offenses …

Development of a cloud-assisted classification technique for the preservation of secure data storage in smart cities

A Kumar, SB Khan, SK Pandey, A Shankar… - Journal of Cloud …, 2023 - Springer
Cloud computing is the most recent smart city advancement, made possible by the
increasing volume of heterogeneous data produced by apps. More storage capacity and …

[HTML][HTML] A forensics and compliance auditing framework for critical infrastructure protection

J Henriques, F Caldeira, T Cruz, P Simões - International Journal of Critical …, 2023 - Elsevier
Contemporary societies are increasingly dependent on products and services provided by
Critical Infrastructure (CI) such as power plants, energy distribution networks, transportation …