A survey on COVID-19 impact in the healthcare domain: worldwide market implementation, applications, security and privacy issues, challenges and future prospects
Extensive research has been conducted on healthcare technology and service
advancements during the last decade. The Internet of Medical Things (IoMT) has …
advancements during the last decade. The Internet of Medical Things (IoMT) has …
Deep learning approach for SDN-enabled intrusion detection system in IoT networks
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 …
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 …
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 …
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 …
environment. Processing and Data storage use cloud environment is becoming a movement …
Unmasking cybercrime with artificial-intelligence-driven cybersecurity analytics
Cybercriminals are becoming increasingly intelligent and aggressive, making them more
adept at covering their tracks, and the global epidemic of cybercrime necessitates significant …
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
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 …
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 …
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
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 …
increasing volume of heterogeneous data produced by apps. More storage capacity and …
[HTML][HTML] A forensics and compliance auditing framework for critical infrastructure protection
Contemporary societies are increasingly dependent on products and services provided by
Critical Infrastructure (CI) such as power plants, energy distribution networks, transportation …
Critical Infrastructure (CI) such as power plants, energy distribution networks, transportation …