Sathish A. P. Kumar

Orcid: 0000-0003-4256-4106

Affiliations:
  • Cleveland State University, Department of Electrical Engineering and Computer Science, OH, USA
  • Coastal Carolina University, Department of Computing Sciences, Conway, SC, USA


According to our database1, Sathish A. P. Kumar authored at least 39 papers between 2016 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

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Bibliography

2024
Securing IoT systems in a post-quantum environment: Vulnerabilities, attacks, and possible solutions.
Internet Things, April, 2024

Denial of service attacks in edge computing layers: Taxonomy, vulnerabilities, threats and solutions.
Ad Hoc Networks, January, 2024

EC-YOLOX: A Deep-Learning Algorithm for Floating Objects Detection in Ground Images of Complex Water Environments.
IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2024

Quantum secure authentication and key agreement protocols for IoT-enabled applications: A comprehensive survey and open challenges.
Comput. Sci. Rev., 2024

2023
DEQSVC: Dimensionality Reduction and Encoding Technique for Quantum Support Vector Classifier Approach to Detect DDoS Attacks.
IEEE Access, 2023

2022
Hybridization of Mean Shift Clustering and Deep Packet Inspected Classification for Network Traffic Analysis.
Wirel. Pers. Commun., 2022

Intelligent Vehicle Parking System (IVPS) Using Wireless Sensor Networks.
Wirel. Pers. Commun., 2022

Extorsionware: Exploiting Smart Contract Vulnerabilities for Fun and Profit.
CoRR, 2022

Securing Digital Ledger Technologies-Enabled IoT Devices: Taxonomy, Challenges, and Solutions.
IEEE Access, 2022

Enhancing Space Security Utilizing the Blockchain: Current Status and Future Directions.
Proceedings of the IEEE International Conference on Wireless for Space and Extreme Environments, 2022

Global Perception of Telemedicine before and after COVID-19 : A Text Mining Analysis.
Proceedings of the IEEE Symposium Series on Computational Intelligence, 2022

Emotion and Sentiment Recognition using Natural Language Processing and Machine Learning Techniques during Disaster Situation.
Proceedings of the IEEE Symposium Series on Computational Intelligence, 2022

2021
Presentation of a Novel Method for Prediction of Traffic with Climate Condition Based on Ensemble Learning of Neural Architecture Search (NAS) and Linear Regression.
Complex., 2021

5G Security Challenges and Solutions: A Review by OSI Layers.
IEEE Access, 2021

2020
A review of topic modeling methods.
Inf. Syst., 2020

3D Face Reconstruction From Single 2D Image Using Distinctive Features.
IEEE Access, 2020

Data Analysis of Lead Contamination in New York.
Proceedings of the 2020 IEEE Symposium Series on Computational Intelligence, 2020

Machine Learning-Based Models for Assessing Physical and Social Impacts Before, During and After Hurricane Michael.
Proceedings of the 2020 IEEE Symposium Series on Computational Intelligence, 2020

A Reflective Neural Network Based Learning Framework for Intelligent Physical Systems.
Proceedings of the 6th IEEE International Conference on Big Data Security on Cloud, 2020

A Survey of Intelligent Transportation Systems Security: Challenges and Solutions.
Proceedings of the 6th IEEE International Conference on Big Data Security on Cloud, 2020

Evaluation of Classification algorithms for Distributed Denial of Service Attack Detection.
Proceedings of the 3rd IEEE International Conference on Artificial Intelligence and Knowledge Engineering, 2020

2019
Topic modeling and sentiment analysis of global climate change tweets.
Soc. Netw. Anal. Min., 2019

Flooding disaster resilience information framework for smart and connected communities.
J. Reliab. Intell. Environ., 2019

Machine Learning-Based Models for Assessing Impacts Before, During and After Hurricane Florence.
Proceedings of the IEEE Symposium Series on Computational Intelligence, 2019

A Practical Model for Educators to Predict Student Performance in K-12 Education using Machine Learning.
Proceedings of the IEEE Symposium Series on Computational Intelligence, 2019

Data Science for K-12 Education.
Proceedings of the IEEE Symposium Series on Computational Intelligence, 2019

Machine Learning for Predicting Development of Asthma in Children.
Proceedings of the IEEE Symposium Series on Computational Intelligence, 2019

An Evaluation of Geotagged Twitter Data during Hurricane Irma Using Sentiment Analysis and Topic Modeling for Disaster Resilience.
Proceedings of the 2019 IEEE International Symposium on Technology and Society, 2019

2018
Using Proactive Fault-Tolerance Approach to Enhance Cloud Service Reliability.
IEEE Trans. Cloud Comput., 2018

A novel digital twin-centric approach for driver intention prediction and traffic congestion avoidance.
J. Reliab. Intell. Environ., 2018

Towards Bandwidth Guaranteed Virtual Cluster Reallocation in the Cloud.
Comput. J., 2018

A Machine Learning Based Approach to Detect Malicious Fast Flux Networks.
Proceedings of the IEEE Symposium Series on Computational Intelligence, 2018

Spatio-Temporal Reasoning within a Neural Network framework for Intelligent Physical Systems.
Proceedings of the IEEE Symposium Series on Computational Intelligence, 2018

2017
Securing IoT-Based Cyber-Physical Human Systems against Collaborative Attacks.
Proceedings of the 2017 IEEE International Congress on Internet of Things, 2017

MVR: An Architecture for Computation Offloading in Mobile Edge Computing.
Proceedings of the IEEE International Conference on Edge Computing, 2017

A Simulation Study to Detect Attacks on Internet of Things.
Proceedings of the 15th IEEE Intl Conf on Dependable, 2017

Vulnerability Assessment for Security in Aviation Cyber-Physical Systems.
Proceedings of the 4th IEEE International Conference on Cyber Security and Cloud Computing, 2017

A Cloud-Based Service Delivery Platform for Effective Homeland Security.
Proceedings of the 4th IEEE International Conference on Cyber Security and Cloud Computing, 2017

2016
Latent Interest and Topic Mining on User-Item Bipartite Networks.
Proceedings of the IEEE International Conference on Services Computing, 2016


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