Epidemic models of malicious-code propagation and control in wireless sensor networks: An indepth review
CNH Nwokoye, V Madhusudanan - Wireless personal communications, 2022 - Springer
Besides anti-malware usage for the eradication of malicious attacks, researchers have
developed epidemic models in order to gain more insights into the spread patterns of …
developed epidemic models in order to gain more insights into the spread patterns of …
An effective DDoS attack mitigation strategy for IoT using an optimization-based adaptive security model
S Kumar, A kumar Keshri - Knowledge-Based Systems, 2024 - Elsevier
Abstract The Internet of Things enables the creation of transmitted use cases for
interconnected devices and complementary channels. The varied structure of it creates …
interconnected devices and complementary channels. The varied structure of it creates …
[HTML][HTML] Modeling time delay, external noise and multiple malware infections in wireless sensor networks
The essentiality of wireless sensor networks (WSNs) in military and health applications
cannot be overemphasized, and this has made these tiny sensors soft targets for malware …
cannot be overemphasized, and this has made these tiny sensors soft targets for malware …
Effect of vaccination on stability of wireless sensor network against malware attack: An epidemiological model
C Verma, CP Gupta - SN Computer Science, 2024 - Springer
Wireless sensor network (WSN) has gained increased prominence due to fast deployment of
sensors in IoT. With WSN being deployed in varying fields viz. industrial automation …
sensors in IoT. With WSN being deployed in varying fields viz. industrial automation …
Big data and machine learning-based financial companies framework
A Mukil, P Sivakumar, A Raed… - AIP Conference …, 2024 - pubs.aip.org
Machine learning is a way of obtaining knowledge for making intelligent judgments that is
based on artificial intelligence. Big Data has a significant impact on scientific discoveries …
based on artificial intelligence. Big Data has a significant impact on scientific discoveries …
Automated nasopharyngeal carcinoma segmentation from a CT image
A Mukil, LJB Andrews, S Sivanesan… - AIP Conference …, 2024 - pubs.aip.org
Convolutional neural networks are proposed as an automated method for segmenting
nasopharyngeal carcinoma (NPC) from dual-sequence magnetic resonance images (MRI) …
nasopharyngeal carcinoma (NPC) from dual-sequence magnetic resonance images (MRI) …
WSN Coverage Optimization Based on Improved Lion Swarm Optimization Algorithm
K Jiang, M Jiang, Y Song… - 2024 IEEE/CIC …, 2024 - ieeexplore.ieee.org
After the random deployment of wireless sensor nodes, issues such as overlapping
coverage and detection blind spots inevitably arise. Employing intelligent optimization …
coverage and detection blind spots inevitably arise. Employing intelligent optimization …
Cloud intrusion detection system using deep learning (artificial intelligence)
A Mukil, S Rajasekaran, R Abdulla… - AIP Conference …, 2024 - pubs.aip.org
When it comes to the procedure of assessing the nature of hazards as well as keeping on
top of destructive behaviour in communication networks, the intrusion prevention system …
top of destructive behaviour in communication networks, the intrusion prevention system …
[PDF][PDF] Egyptian Informatics Journal
CNH Nwokoye, V Madhusudanan, MN Srinivas… - 2022 - researchgate.net
abstract The essentiality of wireless sensor networks (WSNs) in military and health
applications cannot be overemphasized, and this has made these tiny sensors soft targets …
applications cannot be overemphasized, and this has made these tiny sensors soft targets …