MSRCC - Mitigation of Security Risks in Cloud Computing. - D. Chandramohan 001; T. Vengattaraman; M. S. Saleem Basha; P. Dhavachelvan (ACITY (1), 2012)

SVIP-Enhanced Security Mechanism for SIP Based VoIP Systems and Its Issues. - D. Chandramohan 001; Duggineni Veeraiah; M. Shanmugam; N. Balaji; G. Sambasivam; Shailesh Khapre (ACITY (1), 2012)

A Privacy Preserving Representation for Web Service Communicators' in the Cloud. - D. Chandramohan 001; T. Vengattaraman; D. Rajaguru; Ramachandran Baskaran; P. Dhavachelvan (QSHINE, 2013)

A Generic Privacy Breach Preventing Methodology for Cloud Based Web Service. - S. R. Murugaiyan; D. Chandramohan 001; T. Vengattaraman; P. Dhavachelvan (Int. J. Grid High Perform. Comput., 2014)

Fewss - Framework to Evaluate the Service Suitability and Privacy in a Distributed Web Service Environment. - D. Chandramohan 001; T. Vengattaraman; P. Dhavachelvan; Ramachandran Baskaran; V. S. K. Venkatachalapathy (Int. J. Model. Simul. Sci. Comput., 2014)

Data privacy breach prevention framework for the cloud service. - Chandramohan Dhasarathan; Vengattaraman Thirumal; Dhavachelvan Ponnurangam (Secur. Commun. Networks, 2015)

A new privacy preserving technique for cloud service user endorsement using multi-agents. - D. Chandramohan 001; T. Vengattaraman; D. Rajaguru; P. Dhavachelvan (J. King Saud Univ. Comput. Inf. Sci., 2016)

A coordinator-specific privacy-preserving model for E-health monitoring using artificial bee colony approach. - Chandramohan Dhasarathan; Rajaguru Dayalan; Vengattaraman Thirumal; Dhavachelvan Ponnurangam (Secur. Priv., 2018)

Fault test analysis in transmission lines throughout interfering synchrophasor signals. - Srinivasan Ashok Kumar; D. Chandramohan 001 (ICT Express, 2019)

Prediction of COVID-19 Using Genetic Deep Learning Convolutional Neural Network (GDCNN). - R. G. Babukarthik; V. Ananth Krishna Adiga; G. Sambasivam; D. Chandramohan 001; Jayavel Amudhavel (IEEE Access, 2020)

A study on metaheuristics approaches for gene selection in microarray data: algorithms, applications and open challenges. - Alok Kumar Shukla; Diwakar Tripathi; B. Ramachandra Reddy; D. Chandramohan 001 (Evol. Intell., 2020)

DUICM Deep Underwater Image Classification Mobdel using Convolutional Neural Networks. - Manimaran Aridoss; Chandramohan Dhasarathan; Ankur Dumka; Loganathan Jayakumar (Int. J. Grid High Perform. Comput., 2020)

A comprehensive novel model for network speech anomaly detection system using deep learning approach. - Manimaran Aridoss; D. Chandramohan 001; Shrinivas S. G.; N. Arulkumar (Int. J. Speech Technol., 2020)

Natural Language Processing Based Sentimental Analysis of Hindi (SAH) Script an Optimization Approach. - Hewan Shrestha; Chandramohan Dhasarathan; Shanmugam Munisamy; Amudhavel Jayavel (Int. J. Speech Technol., 2020)

Evolution of Fog Computing Applications, Opportunities, and Challenges: A Systematic Review. - Hewan Shrestha; Puviyarai T.; Sana Sodanapalli; Chandramohan Dhasarathan (Int. J. Fog Comput., 2021)

Recent Advances in Edge Computing Paradigms: Taxonomy Benchmarks and Standards for Unconventional Computing. - Sana Sodanapalli; Hewan Shrestha; Chandramohan Dhasarathan; Puviyarasi T.; Sam Goundar (Int. J. Fog Comput., 2021)

Data dissemination for green-VANETs communication: an opportunistic optimization approach. - D. Chandramohan 001; Ankur Dumka; Dhilipkumar V.; Loganathan Jayakumar (Int. J. Pervasive Comput. Commun., 2021)

A bio-inspired privacy-preserving framework for healthcare systems. - Chandramohan Dhasarathan; Manish Kumar; Atul Kumar Srivastava; Fadi M. Al-Turjman; Achyut Shankar; Manoj Kumar 009 (J. Supercomput., 2021)

Energy-Aware Multilevel Clustering Scheme for Underwater Wireless Sensor Networks. - Sivaraj Chinnasamy 001; Naveen Jegan; P. J. A. Alphonse; Chandramohan Dhasarathan; G. Sambasivam (IEEE Access, 2022)

COVID-19 identification in chest X-ray images using intelligent multi-level classification scenario. - R. G. Babukarthik; Chandramohan Dhasarathan; Diwakar Tripathi; Manish Kumar; G. Sambasivam (Comput. Electr. Eng., 2022)

Credit Scoring Models Using Ensemble Learning and Classification Approaches: A Comprehensive Survey. - Diwakar Tripathi; Alok Kumar Shukla; B. Ramachandra Reddy; Ghanshyam S. Bopche; D. Chandramohan 001 (Wirel. Pers. Commun., 2022)

COVID-19 health data analysis and personal data preserving: A homomorphic privacy enforcement approach. - Chandramohan Dhasarathan; Mohammad Kamrul Hasan; Shayla Islam; Salwani Abdullah; Umi Asma' Mokhtar; Abdul Rehman Javed; Sam Goundar (Comput. Commun., 2023)

Detection and classification of dermatoscopic images using segmentation and transfer learning. - Hewan Shrestha; Subash Chandra Bose Jaganathan; Chandramohan Dhasarathan; Kannadhasan Suriyan (Multim. Tools Appl., 2023)

A nomadic multi-agent based privacy metrics for e-health care: a deep learning approach. - Chandramohan Dhasarathan; M. Shanmugam; Manish Kumar; Diwakar Tripathi; Shailesh Khapre; Achyut Shankar (Multim. Tools Appl., 2024)

Blockchain-Based Intelligent Digital Credentialing System for Participatory Governance: Design, Implementation, and Potential Implications. - Chandramohan Dhasarathan; Rajaguru Dayalan; Subash Chandra Bose Jaganathan (SN Comput. Sci., 2024)

A Low-Cost AI-Powered System for Early Detection of Diabetic Retinopathy and Ocular Diseases in Resource Limited Settings. - Harpreet Vohra; Mohammad Kamrul Hasan; Siti Norul Huda Sheikh Abdullah; Shayla Islam; Abdul Hadi Abd Rahman; Shreya N. Bhojake; Dhruv Bobal; Awal Kaur Gandhi; Muskan; Chandramohan Dhasarathan (IEEE Access, 2025)