[HTML][HTML] A systematic literature review of attribute based encryption in health services
The widespread adoption of cloud technology in the healthcare industry has achieved
effective outcomes in sharing health records and sensitive data. In recent years, many …
effective outcomes in sharing health records and sensitive data. In recent years, many …
Advancing Cloud Security Frameworks Implementing Distributed Ledger Technology for Robust Data Protection and Decentralized Security Management in Cloud …
P Rajasekar, K Kalaiselvi… - … on Advances in …, 2024 - ieeexplore.ieee.org
Cloud computing caused the paradigm shift in business performance, from scalability to
flexibility as well as affordability in the management of computing resources. Nevertheless …
flexibility as well as affordability in the management of computing resources. Nevertheless …
Optimizing Power Consumption in Wireless Sensor Networks for Prolonged Sustainability
C Sivasankar, EK Subramanian… - … on Advances in …, 2024 - ieeexplore.ieee.org
As Wireless Sensor Networks (WSNs) grow rapidly, power optimization for sustainability and
efficiency is needed. This study offers a complete energy-saving and WSN-extending …
efficiency is needed. This study offers a complete energy-saving and WSN-extending …
Boosting Cybersecurity Effectiveness through Machine Learning for Proactive Detection and Mitigation of New Threats
N Duraimutharasan, NV Rao… - … on Advances in …, 2024 - ieeexplore.ieee.org
Cybersecurity still remains an all-time issue before the technological age as the enterprises
continue to deal with the evolving nature of the threats arising every day. Traditional …
continue to deal with the evolving nature of the threats arising every day. Traditional …
Exploring the Intersection of Art and Technology with Neural Style Transfer using Advanced Convolutional Neural Networks for Creative Image Transformations
Neural Style Transfer (NST) currently leads the artistic creation field that combines artistry
with technological innovation, well master the advanced of Convolution neural network …
with technological innovation, well master the advanced of Convolution neural network …
Implementing Real-Time Analytics for Enhanced Energy Efficiency in IoT-Integrated Smart Grid Systems
KV Kanimozhi, P Neelaveni… - 2024 10th …, 2024 - ieeexplore.ieee.org
This paper develops the contemporary role of real-time analytics combining IOT-enabled
smart grid systems in order to improve energy efficiency, strengthen grid dependability and …
smart grid systems in order to improve energy efficiency, strengthen grid dependability and …
Enhancing Security and Transparency Through the Integration of Blockchain and Machine Learning
RM Bommi, B Sundarambal… - … Conference on Data …, 2023 - ieeexplore.ieee.org
This article examines a new strategy in improving security and trust by fusing blockchain
technology with machine learning techniques. This synergy exploits the decentralisation and …
technology with machine learning techniques. This synergy exploits the decentralisation and …
Risk Management in Project Planning: A Comparative Analysis of Decision Trees and Monte Carlo Simulation
RL Julie, SA Krishnan, M Franklin… - … Conference on Data …, 2023 - ieeexplore.ieee.org
Decision Trees and Monte Carlo Simulation are two popular methods for managing risks in
project planning, and this paper compares and contrasts both. The goal is to give a thorough …
project planning, and this paper compares and contrasts both. The goal is to give a thorough …
An Analysis of Signature-Based Components in Hybrid Intrusion Detection Systems
M Agoramoorthy, A Ali, D Sujatha… - … and Control for …, 2023 - ieeexplore.ieee.org
In cybersecurity, Intrusion Detection Systems (IDS) protect against emerging cyber threats.
Combining signature-based and anomaly-based detection methods may improve IDS …
Combining signature-based and anomaly-based detection methods may improve IDS …
Enhanced Prediction of Rheumatoid Arthritis Flares Through Ensemble Learning Methods
K Priyadharshini, S Vinitha… - … on Advances in …, 2024 - ieeexplore.ieee.org
RA is an inflammatory, autoimmune disease with an unpredictable course, during which
patients experience exacerbations (increases in symptoms) and its associated …
patients experience exacerbations (increases in symptoms) and its associated …