[HTML][HTML] Artificial intelligence for cybersecurity: Literature review and future research directions
Artificial intelligence (AI) is a powerful technology that helps cybersecurity teams automate
repetitive tasks, accelerate threat detection and response, and improve the accuracy of their …
repetitive tasks, accelerate threat detection and response, and improve the accuracy of their …
Analysis of cyber security attacks and its solutions for the smart grid using machine learning and blockchain methods
Smart grids are rapidly replacing conventional networks on a worldwide scale. A smart grid
has drawbacks, just like any other novel technology. A smart grid cyberattack is one of the …
has drawbacks, just like any other novel technology. A smart grid cyberattack is one of the …
[HTML][HTML] BlockMedCare: A healthcare system based on IoT, Blockchain and IPFS for data management security
Nowadays, healthcare is growing rapidly due to the large development of new technologies
such as IoT and wearable devices. These devices are widely used to ensure remote patient …
such as IoT and wearable devices. These devices are widely used to ensure remote patient …
Medical image encryption by content-aware DNA computing for secure healthcare
There exists a rising concern on security of healthcare data and service. Even small lost,
stolen, displaced, hacked, or communicated in personal health data could bring huge …
stolen, displaced, hacked, or communicated in personal health data could bring huge …
Drought occurrence in different river basins of India and blockchain technology based framework for disaster management
Drought assessment is crucial to mitigate its adverse impact, especially in India, where risk
is more due to an increase in population and climate change. However, most of the studies …
is more due to an increase in population and climate change. However, most of the studies …
Network intrusion detection model based on CNN and GRU
B Cao, C Li, Y Song, Y Qin, C Chen - Applied Sciences, 2022 - mdpi.com
A network intrusion detection model that fuses a convolutional neural network and a gated
recurrent unit is proposed to address the problems associated with the low accuracy of …
recurrent unit is proposed to address the problems associated with the low accuracy of …
BIoMT: A state-of-the-art consortium serverless network architecture for healthcare system using blockchain smart contracts
Owing to the sensitive nature of healthcare data, the aforementioned approach to
transferring patient data to central servers creates serious security and privacy issues. In …
transferring patient data to central servers creates serious security and privacy issues. In …
Machine intelligence and medical cyber-physical system architectures for smart healthcare: Taxonomy, challenges, opportunities, and possible solutions
Hospitals use medical cyber-physical systems (MCPS) more often to give patients quality
continuous care. MCPS isa life-critical, context-aware, networked system of medical …
continuous care. MCPS isa life-critical, context-aware, networked system of medical …
BCHealth: A novel blockchain-based privacy-preserving architecture for IoT healthcare applications
The advancements in networking technologies have introduced the Internet of Everything
(IoE) and smart living concepts. The main idea behind making everything smarter is to …
(IoE) and smart living concepts. The main idea behind making everything smarter is to …
DEEP-FEL: Decentralized, efficient and privacy-enhanced federated edge learning for healthcare cyber physical systems
The rapid development of Internet of Things (IoT) stimulates the innovation for the health-
related devices such as remote patient monitoring, connected inhalers and ingestible …
related devices such as remote patient monitoring, connected inhalers and ingestible …