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 …

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 …

[HTML][HTML] Modeling time delay, external noise and multiple malware infections in wireless sensor networks

CNH Nwokoye, V Madhusudanan, MN Srinivas… - Egyptian Informatics …, 2022 - Elsevier
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 …

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 …

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 …

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) …

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 …

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 …

[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 …