Computer Engineering, Computer Networks and Communications, Computer Vision and Pattern Recognition, Computer Science Applications
6
Scopus Publications
108
Scholar Citations
5
Scholar h-index
3
Scholar i10-index
Scopus Publications
Enhancing Cloud Security Through a Comprehensive Survey of Machine Learning Based Intrusion Detection Systems Ravikumar Ch, Burri Naresh, Duvva Laxmi Prasanna, E. Radhika, Nenavath Chander, Ashlesha Kolakar 2025 International Conference on Applications of Machine Intelligence and Data Analytics Icamida 2025, 2025 Cloud computing has revolutionized technology with its unmatched flexibility, scalability, and cost efficiency, making it a cornerstone of modern digital infrastructures. However, its dynamic nature and reliance on the internet introduce significant security vulnerabilities, particularly in monitoring and managing complex network traffic. Traditional Intrusion Detection Systems (IDS) struggle to effectively handle the unpredictable and highvolume traffic patterns typical in cloud environments. This paper provides a comprehensive survey of Machine Learning (ML)based IDS, focusing on their ability to classify network activities as normal or anomalous through advanced anomaly detection techniques. ML approaches, including clustering, classification, and hybrid algorithms, have demonstrated significant potential in real-time threat detection and mitigation, enhancing the overall security and reliability of cloud systems. The survey critically evaluates the advantages, limitations, and challenges of ML-based IDS, emphasizing the role of feature selection and preprocessing techniques in improving detection accuracy and efficiency. By synthesizing recent advancements and applications, this work offers a holistic view of the current state of ML in securing cloud infrastructures and highlights key areas for future research, including privacy-preserving methods, scalability, and the integration of adaptive learning frameworks.
Exploring Machine Learning Algorithms for Robust Cyber Threat Detection and Classification: A Comprehensive Evaluation Ravikumar Ch, Burri Naresh, P Laxmi Prasanna, Nenavath Chander, Ediga Amarnath Goud, P Raghavendar Prasad 2024 International Conference on Intelligent Systems for Cybersecurity Iscs 2024, 2024 In response to the escalating frequency and complexity of cyber threats, the imperative need to enhance cybersecurity measures is evident. This study explores the potential of machine learning (ML) algorithms in advancing threat detection and classification by automating the identification of security incidents. The abstract presents a thorough assessment of various ML algorithms, including decision trees, support vector machines, and neural networks, for their efficacy in detecting and categorizing cyber threats. The evaluation encompasses a diverse dataset featuring different cyber-attack scenarios and incorporates multiple features such as network traffic patterns, system logs, and user behavior. Performance metrics, such as training accuracy and testing accuracy, are employed to assess the effectiveness of each algorithm. Furthermore, the study investigates the impact of feature selection techniques and model optimization strategies on algorithm performance. The results underscore the capability of ML algorithms to accurately identify and categorize cyber threats, providing valuable insights into their strengths and limitations. This research contributes to the field of cybersecurity by facilitating the development of practical and robust ML-based solutions, ultimately reinforcing cyber defence mechanisms against evolving threats.
METAHEURISTICS WITH DEEP CONVOLUTIONAL NEURAL NETWORK FOR CLASS IMBALANCE HANDLING WITH ANOMALY DETECTION IN INDUSTRIAL IOT ENVIRONMENT Journal of Theoretical and Applied Information Technology, 2023
Enhancing Cloud Security Through a Comprehensive Survey of Machine Learning Based Intrusion Detection Systems R Ch, B Naresh, DL Prasanna, E Radhika, N Chander, A Kolakar 2025 International Conference on Applications of Machine Intelligence and … , 2025 2025.0
Enhanced pelican optimization algorithm with ensemble-based anomaly detection in industrial internet of things environment N Chander, M Upendra Kumar Cluster Computing 27 (5), 6491-6509 , 2024 2024.0 Citations: 17
Exploring machine learning algorithms for robust cyber threat detection and classification: A comprehensive evaluation R Ch, B Naresh, PL Prasanna, N Chander, EA Goud, PR Prasad 2024 International Conference on Intelligent Systems for Cybersecurity (ISCS … , 2024 2024.0 Citations: 13
Metaheuristic feature selection with deep learning enabled cascaded recurrent neural network for anomaly detection in Industrial Internet of Things environment N Chander, M Upendra Kumar Cluster Computing 26 (3), 1801-1819 , 2023 2023.0 Citations: 62
Metaheuristics with Deep Convolutional Neural Network for class imbalance handling with anomaly detection in industrial IoT environment N Chander, MU Kumar 2022.0 Citations: 3
Comparative analysis on deep learning models for detection of anomalies and leaf disease prediction in cotton plant data N Chander, M Upendra Kumar Congress on intelligent systems, 263-273 , 2022 2022.0 Citations: 8
Blockchain for Health Records System Storage using Attribute-Based Signature N Chander International Journal of Science and Research 9 (12), 9 , 2020 2020.0
MACHINE LEARNING BASED OUTLIER DETECTION TECHNIQUES FOR IoT DATA ANALYSIS: A COMPREHENSIVE SURVEY N Chander, MU Kumar http://paper.researchbib.com/view/paper/278231 , 2020 2020.0 Citations: 5
Privacy Preserving Two Layer Encryption Delegated Access Control in Public Clouds CN NAGARAJU. P, SRINIVAS. K IJSETR 6 (9), 7 , 2017 2017.0
A Novel Approach for Securing Data using Cipher Text Policy Attribute Based Encryption JVK K. Sandeep Kumar, N. Chander IJCTT 16 (4), 4 , 2014 2014.0
SHIELDING OF PERCEPTIVE LABELS IN SOCIAL NETWORK DATA ANONYMITY NCR Nadimiti Hari Krishna 2014.0
Computation Of Accuracy concerning Node Locations In Mobile System N Chander Computation Of Accuracy concerning Node Locations In Mobile System 2 (10), 6 , 2014 2014.0
Raspberry PI Mini PC for Education And Productivity MS Kamidi Vishnuvardhan Reddy, AP Reddy, MG Kumar, N Chander
MOST CITED SCHOLAR PUBLICATIONS
Metaheuristic feature selection with deep learning enabled cascaded recurrent neural network for anomaly detection in Industrial Internet of Things environment N Chander, M Upendra Kumar Cluster Computing 26 (3), 1801-1819 , 2023 2023.0 Citations: 62
Enhanced pelican optimization algorithm with ensemble-based anomaly detection in industrial internet of things environment N Chander, M Upendra Kumar Cluster Computing 27 (5), 6491-6509 , 2024 2024.0 Citations: 17
Exploring machine learning algorithms for robust cyber threat detection and classification: A comprehensive evaluation R Ch, B Naresh, PL Prasanna, N Chander, EA Goud, PR Prasad 2024 International Conference on Intelligent Systems for Cybersecurity (ISCS … , 2024 2024.0 Citations: 13
Comparative analysis on deep learning models for detection of anomalies and leaf disease prediction in cotton plant data N Chander, M Upendra Kumar Congress on intelligent systems, 263-273 , 2022 2022.0 Citations: 8
MACHINE LEARNING BASED OUTLIER DETECTION TECHNIQUES FOR IoT DATA ANALYSIS: A COMPREHENSIVE SURVEY N Chander, MU Kumar http://paper.researchbib.com/view/paper/278231 , 2020 2020.0 Citations: 5
Metaheuristics with Deep Convolutional Neural Network for class imbalance handling with anomaly detection in industrial IoT environment N Chander, MU Kumar 2022.0 Citations: 3
Enhancing Cloud Security Through a Comprehensive Survey of Machine Learning Based Intrusion Detection Systems R Ch, B Naresh, DL Prasanna, E Radhika, N Chander, A Kolakar 2025 International Conference on Applications of Machine Intelligence and … , 2025 2025.0
Blockchain for Health Records System Storage using Attribute-Based Signature N Chander International Journal of Science and Research 9 (12), 9 , 2020 2020.0
Privacy Preserving Two Layer Encryption Delegated Access Control in Public Clouds CN NAGARAJU. P, SRINIVAS. K IJSETR 6 (9), 7 , 2017 2017.0
A Novel Approach for Securing Data using Cipher Text Policy Attribute Based Encryption JVK K. Sandeep Kumar, N. Chander IJCTT 16 (4), 4 , 2014 2014.0
SHIELDING OF PERCEPTIVE LABELS IN SOCIAL NETWORK DATA ANONYMITY NCR Nadimiti Hari Krishna 2014.0
Computation Of Accuracy concerning Node Locations In Mobile System N Chander Computation Of Accuracy concerning Node Locations In Mobile System 2 (10), 6 , 2014 2014.0
Raspberry PI Mini PC for Education And Productivity MS Kamidi Vishnuvardhan Reddy, AP Reddy, MG Kumar, N Chander
