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Vijitha, S. and Anandan, R (2025) Avatar Authenticated Metaverse Environment with Improved Key Management and Information Flow Control with Obfuscation. In: UNSPECIFIED1.

Abiramy, R and Kumar, Narayanan and Anandan, R and Swaraj Paul , C (2019) Fraud Detection for Online Retail Using Random Forest. International Journal of Engineering and Advanced Technology. ISSN 2249 – 8958

Manikandan, A and Thirumal, S. and Anandan, R (2018) INTERNET USING BIOMETRICS SECURE SERVICES. International Journal of Management, Technology And Engineering, 8 (XII). pp. 3933-3937. ISSN 2249-7455

Manikandan, A and Anandan, R (2022) Hybrid Facial Chaotic-based Graphical Encryption Technique for Cloud Environment. Webology, 19 (1). pp. 3643-3656. ISSN 1735188X

Selvakkumaran, V. and Anandan, R (2025) Performance Analysis on Intrusion Detection System using Fuzzy Neural Network Approach. International Journal of Advanced Science and Engineering, 12 (2). pp. 5753-5763. ISSN 24549967

Gopalakrishnan, T. and Sivaganesan, S. and Bharathi, V. and Anandan, R (2025) Harnessing Machine Learning for Advanced Materials Discovery and Design. In: Harnessing Machine Learning for Advanced Materials Discovery and Design. Imaginex Inks Publication, Chennai, pp. 1-111. ISBN 978-81-988536-6-0

Thirumal, S. and Manikandan, A and Anandan, R (2018) Identification of Effective Sub-Word Unit for Speech Recognition in Tamil. Journal of Computational Information Systems, 14 (6). pp. 241-244.

Anandan, R and Manikandan, A and Thirumal, S. (2018) Predictive Analysis of Diseases Using NADI by Artificial Intelligence Techniques. Journal of Computational Information Systems, 14 (6). pp. 118-124.

Anandan, R and Manikandan, A and Thirumal, S. (0201) Environmental Waste Management Using Electronic Grid. Journal of Computational Information Systems, 14 (6). pp. 112-117.

Manikandan, A and Anandan, R and Thirumal, S. (2018) VPN in NEMO for Real Time Applications. Journal of Computational Information Systems, 14 (6). pp. 173-179.

Manikandan, A and Anandan, R (2022) A Hybrid Deep Learning Models for Hetrogeneous Medical Big Data Integration. In: Proceedings of 2nd International Conference on Mathematical Modeling and Computational Science. Springer, pp. 201-212.

Selvakkumaran, V. and Anandan, R (2025) Implementation of Fuzzy Clustering and Fuzzy Neural Network in Edge-Based Server Environments for Enhanced Secured Cloud Services. International Journal of Advanced Science and Engineering, 12 (1). pp. 5184-5194. ISSN 24549967

Manikandan, A and Anandan, R (2019) SSAE Using in histopathalogical for Combining Heterogeneous Data. International Journal of Engineering and Advanced Technology, 8 (3S). pp. 35-37. ISSN 2249 – 8958,

Manikandan, A and Anandan, R (2019) Analysis of Learning in Splitting Fuzzy Data for Drift Statistical Techniques. International Journal of Engineering and Advanced Technology (IJEAT), 8 (35). pp. 38-40.

Vijitha, S. and Anandan, R (2023) RECOVERING DATA FROM NONENCRYPTING RANSOMWARE ATTACKS. Recovering data from Non-Encrypting Ransomware Attacks, 12 (9). ISSN 2063-5346

Udayakumar, Puthiyavan and Anandan, R (2025) Comparative Study of Lightweight Encryption Algorithms Leveraging Neural Processing Unit for Artificial Internet of Medical Things. International Journal of Computational and Experimental Science and Engineering, 11 (1). ISSN 2149-9144

Nallamuthu, M. and Umadevi, S. and Anandan, R (2025) ARTIFICIAL INTELLIGENCE POWERED DESIGN OF EXPERIMENTS: OPTIMIZING ABIRATERONE ACETATE LOADED GELATIN NANOPARTICLES FOR ENHANCED ORAL BIOAVAILABILITY OF ABIRATERONE ACETATE. International Journal of Applied Pharmaceutics. pp. 483-496. ISSN 0975-7058

Vijitha, S. and Anandan, R (2025) Metaverse Technology to Empower Students Literacy Rate Using Modern Educational Resources in Kanchipuram District. Journal of The Institution of Engineers (India): Series B. ISSN 2250-2106

Vijitha, S. and Anandan, R (2025) Blockchain-based decentralized identifier in metaverse environment for secure and privacy-preserving authentication with improved key management and cryptosystem. Peer-to-Peer Networking and Applications, 18 (4). ISSN 1936-6442

Bhyrapuneni, Srikanth and Anandan, R (2021) Relevant Text Extraction Using Enhanced Artificial Neural Network Fuzzy Inference System. In: Advances in Intelligent Systems and Computing. Springer, pp. 441-449.

Udayakumar, Puthiyavan and Anandan, R (2025) Threat Detection, Investigation, and Response: Enhance IoMT Cybersecurity Operations with Intelligent Analytics. In: Design and Deploy Microsoft Azure Sentinel for IoMT. Apress, Berkeley, CA, pp. 243-341. ISBN 979-8-8688-2040-3

Udayakumar, Puthiyavan and Anandan, R (2024) Design and Deploy Microsoft Defender for IoT: Leveraging Cloud-based Analytics and Machine Learning Capabilities. Apress, Berkeley, CA. ISBN 979-8-8688-0239-3

Udayakumar, Puthiyavan and Anandan, R (2025) Design and Deploy Microsoft Azure Sentinel for IoMT: Enhance IoMT Cybersecurity Operations with Intelligent Analytics. Apress, Berkeley, CA. ISBN 979-8-8688-2040-3

Anandan, R (2026) Evolution of Quantum Computing. In: Quantum Computing The Past, the Present, and the Future. Taylors and Francis, USA.

Anandan, R and Akila, D. and Pal, Souvik (2025) Blockchain and IoT: Foundations, Applications and Case Studies. Chapman and Hall/CRC, Boca Raton. ISBN 9781003428886

Udayakumar, Puthiyavan and Anandan, R (2024) Design and Deploy Azure IoT Monitoring and Management: Embrace Microsoft Azure for IoT Network Enhancement and Security Uplift. In: Design and Deploy IoT Network & Security with Microsoft Azure. Apress, Berkeley, CA, pp. 419-524. ISBN 979-8-8688-0908-8

Udayakumar, Puthiyavan and Anandan, R (2024) Design and Deploy Azure IoT Security: Embrace Microsoft Azure for IoT Network Enhancement and Security Uplift. In: Design and Deploy IoT Network & Security with Microsoft Azure. Apress, Berkeley, CA, pp. 319-418. ISBN 979-8-8688-0908-8

Udayakumar, Puthiyavan and Anandan, R (2024) Design and Deploy Azure IoT Networks: Embrace Microsoft Azure for IoT Network Enhancement and Security Uplift. In: Design and Deploy IoT Network & Security with Microsoft Azure. Apress, Berkeley, CA, pp. 227-318. ISBN 979-8-8688-0908-8

Udayakumar, Puthiyavan and Anandan, R (2024) Design and Deploy Azure Edge Services: Embrace Microsoft Azure for IoT Network Enhancement and Security Uplift. In: Design and Deploy IoT Network & Security with Microsoft Azure. Apress, Berkeley, CA, pp. 97-226. ISBN 979-8-8688-0908-8

Udayakumar, Puthiyavan and Anandan, R (2024) Get Started with IoT Network and Security: Embrace Microsoft Azure for IoT Network Enhancement and Security Uplift. In: Design and Deploy IoT Network & Security with Microsoft Azure. Apress, Berkeley, CA, pp. 1-95. ISBN 979-8-8688-0908-8

Moyeenudin, H. M. and Bindu, G. and Anandan, R (2021) Hyper-Personalization of Mobile Applications for Cloud Kitchen Operations. In: Lecture Notes in Networks and Systems. Springer, pp. 247-255.

Udayakumar, Puthiyavan and Anandan, R (2025) Engineering Microsoft Sentinel for Security Operations: Enhance IoMT Cybersecurity Operations with Intelligent Analytics. In: Design and Deploy Microsoft Azure Sentinel for IoMT. Apress, Berkeley, CA, pp. 159-241. ISBN 979-8-8688-2040-3

Udayakumar, Puthiyavan and Anandan, R (2025) Architecting and Deploying Microsoft Sentinel: Enhance IoMT Cybersecurity Operations with Intelligent Analytics. In: Design and Deploy Microsoft Azure Sentinel for IoMT. Apress, Berkeley, CA, pp. 77-157. ISBN 979-8-8688-2040-3

Udayakumar, Puthiyavan and Anandan, R (2025) Get Started with Microsoft Sentinel and IoMT: Enhance IoMT Cybersecurity Operations with Intelligent Analytics. In: Design and Deploy Microsoft Azure Sentinel for IoMT. Apress, Berkeley, CA, pp. 1-76. ISBN 979-8-8688-2040-3

Udayakumar, Puthiyavan and Anandan, R (2024) Manage Microsoft Defender for IoT: Leveraging Cloud-based Analytics and Machine Learning Capabilities. In: Design and Deploy Microsoft Defender for IoT. Apress, Berkeley, CA, pp. 277-342. ISBN 979-8-8688-0239-3

Udayakumar, Puthiyavan and Anandan, R (2024) Deploy Microsoft Defender for IoT: Leveraging Cloud-based Analytics and Machine Learning Capabilities. In: Design and Deploy Microsoft Defender for IoT. Apress, Berkeley, CA, pp. 213-276. ISBN 979-8-8688-0239-3

Udayakumar, Puthiyavan and Anandan, R (2024) Plan Microsoft Defender for IoT: Leveraging Cloud-based Analytics and Machine Learning Capabilities. In: Design and Deploy Microsoft Defender for IoT. Apress, Berkeley, CA, pp. 147-211. ISBN 979-8-8688-0239-3

Udayakumar, Puthiyavan and Anandan, R (2024) Develop Security Strategy for IoT/OT with Defender for IoT: Leveraging Cloud-based Analytics and Machine Learning Capabilities. In: Design and Deploy Microsoft Defender for IoT. Apress, Berkeley, CA, pp. 47-146. ISBN 979-8-8688-0239-3

Udayakumar, Puthiyavan and Anandan, R (2024) Get Started with IoT: Leveraging Cloud-based Analytics and Machine Learning Capabilities. In: Design and Deploy Microsoft Defender for IoT. Apress, Berkeley, CA, pp. 1-45. ISBN 979-8-8688-0239-3

Anandan, R and Mugil, R (2024) Blockchain-based decentralized identifier in metaverse environment for secure and privacy-preserving authentication with improved key management and cryptosystem. International Journal of Applied Mathematics, 38 (12S). ISSN 1314-8060

Anandan, R (2022) Frontiers in Quantum Computing: New Research. Nova Science Publishers. ISBN R. Anandan Frontiers in Quantum Computing: New Research 2022 9781685078164 Nova Science Publishers 10.52305/EAUU1757 https://novapublishers.com/shop/frontiers-in-quantum-computing-new-research/

Kumar, Narayanan and Anandan, R and Swaraj Paul, Chinnaraju and Manikandan, A (2018) A novel technique for detecting the misbehavior nodes in wireless adhoc networks. International Journal of Engineering & Technology, 7 (2.21). p. 296. ISSN 2227-524X

Sridevi, S. and Anandan, R (2020) RUDRA—A Novel Re-concurrent Unified Classifier for the Detection of Different Attacks in Wireless Sensor Networks. In: RUDRA—A Novel Re-concurrent Unified Classifier for the Detection of Different Attacks in Wireless Sensor Networks. Springer, pp. 251-259.

Anandan, R and Gopalakrishnan, Suseendran and Pal, Souvik and Zaman, Noor (2022) The Industrial Internet of Things (IIoT): Intelligent Analytics for Predictive Maintenance. Wiley. ISBN 9781119769026

Balakrishna, R. and Anandan, R (2020) Feature Classification and Analysis of Acute and Chronic Pancreatitis Using Supervised Machine Learning Algorithm. In: Feature Classification and Analysis of Acute and Chronic Pancreatitis Using Supervised Machine Learning Algorithm. Springer, pp. 241-249.

Hanchate, Rohini and Anandan, R (2024) Medical Image Encryption Using Hybrid Adaptive Elliptic Curve Cryptography and Logistic Map-based DNA Sequence in IoT Environment. IETE Journal of Research, 70 (6). pp. 5734-5749. ISSN 0377-2063

Anandan, R and Deepak, B. S. (2022) An Overview of Blockchain Technology: Fundamental Theories and Concepts: Challenges and Opportunities. In: The Convergence of Artificial Intelligence and Blockchain Technologies. WORLD SCIENTIFIC, pp. 1-22. ISBN 978-981-12-2507-9

Anandan, R and Suseendran, G. and Chatterjee, Pushpita and Jhanjhi, Noor Zaman and Ghosh, Uttam (2022) How COVID-19 is Accelerating the Digital Revolution: Challenges and Opportunities. Springer International Publishing, Cham. ISBN 978-3-030-98167-9

Anandan, R and Jhanjhi, Noor Zaman and Deepak, B. S. (2022) Treatment of Novel Coronavirus (2019-nCoV) Using Hinokitiol (β-thujaplicin) Copper Chelate: Challenges and Opportunities. In: How COVID-19 is Accelerating the Digital Revolution. Springer International Publishing, Cham, pp. 147-164. ISBN 978-3-030-98167-9

Anandan, R and Deepak, B.S. and Suseendran, G. and Jhanjhi, Noor Zaman (2021) Internet of Things Platform for Smart Farming: Internet of Robotic Things and Ubiquitous Computing. In: Human Communication Technology. Wiley, pp. 337-369. ISBN 9781119752165

Manikandan, A and Anandan, R (2018) Traffic accident monitoring system using deep learning. International Journal of Engineering & Technology, 7 (2.21). p. 283. ISSN 2227-524X

Anandan, R (2022) Adaptive Heuristic ‐ Genetic Algorithms. In: Mathematics in Computational Science and Engineering. Wiley, pp. 329-342. ISBN 9781119777557

Anbazhagu, U. V. and Anandan, R (2022) Retraction Note: Emotional interpretation using chaotic cuckoo public sentiment variations on textual data from Twitter. International Journal of Speech Technology, 25 (S1). p. 27. ISSN 1381-2416

Saranya, A. and Anandan, R (2022) Cognitive Human Gait Analysis for Neuro-Physically Challenged Patients by Bat Optimization Algorithm:. International Journal of Reliable and Quality E-Healthcare, 11 (1). pp. 1-11. ISSN 2160-9551

Moyeenudin, H. M. and Anandan, R and Parvez, Shaik Javed (2021) Exploration on Revenue Using Pioneering Technology in Infrastructure Facilities of Luxury Hotels. Hyperspectral Image Classification by Means of Suprepixel Representation with KNN. pp. 389-394.

Bhyrapuneni, Srikanth and Anandan, R (2022) A Comparative Analysis for Optical Character Recognition for Text Extraction from Images Using Artificial Neural Network Fuzzy Inference System. Traitement du Signal, 39 (1). pp. 283-289. ISSN 07650019

Bhyrapuneni, Srikanth and Anandan, R (2022) Word Recognition Method Using Convolution Deep Learning Approach Used in Smart Cities for Vehicle Identification. Revue d'Intelligence Artificielle, 36 (3). pp. 489-495. ISSN 0992499X

Saranya, A. and Anandan, R (2022) FIGS-DEAF: an novel implementation of hybrid deep learning algorithm to predict autism spectrum disorders using facial fused gait features. Distributed and Parallel Databases, 40 (4). pp. 753-778. ISSN 0926-8782

Bolla, Sreenivasulu and Anandan, R and Thanappan, Subash and Gupta, Punit (2022) Weather Forecasting Method from Sensor Transmitted Data for Smart Cities Using IoT. Scientific Programming, 2022. pp. 1-9. ISSN 1058-9244

Anbazhagu, U. V. and Anandan, R (2021) RETRACTED ARTICLE: Emotional interpretation using chaotic cuckoo public sentiment variations on textual data from Twitter. International Journal of Speech Technology, 24 (2). pp. 281-290. ISSN 1381-2416

Anandan, R and Balakrishna, R. and Anandan, R (2021) A Closer Look at Big Data Analytics. A Closer Look at Big Data Analytics.

Moyeenudin, H. M. and Anandan, R (2021) IoT Implementation at Global Enterprises for Progressive Human Resource Practices. In: Advances in Intelligent Systems and Computing. Springer, pp. 109-117.

Moyeenudin, H. M. and Bindu, G. and Anandan, R (2024) Blockchain Networks for Cybersecurity Using Machine-Learning Algorithms. In: EAI/Springer Innovations in Communication and Computing. Springer, pp. 233-242.

Moyeenudin, H.M. and Parvez, Shaik Javed and Jose, Anand A and Anandan, R and Goundar, Sam (2023) Detecting Device Sensors of Luxury Hotels using Blockchain-based Federated Learning to Increase Customer Satisfaction: Advances, Applications and Opportunities. In: Handbook on Federated Learning. CRC Press, Boca Raton, pp. 283-307. ISBN 9781003384854

Moyeenudin, H. M. and Bindu, G. and Anandan, R (2021) OTA and IoT Influence the Room Occupancy of a Hotel. In: OTA and IoT Influence the Room Occupancy of a Hotel. Springer, pp. 265-274.

Manickavasagam, Sivasankari and Anandan, R (2021) Processing of Remote Sensing Ocean Parameter Using Downscaling and Machine Learning Techniques. In: 2021 2nd International Conference on Computation, Automation and Knowledge Management (ICCAKM), Dubai, United Arab Emirates.

Kumar, Sindhe Phani and Anandan, R and Tchier, Fairouz and Rajchakit, G. and Park, Choonkil and Tawfiq, Ferdous M. O. (2021) Secured data storage in the cloud using logical Pk-Anonymization with Map Reduce methods and key generation in cloud computing. Journal of Taibah University for Science, 15 (1). pp. 746-756. ISSN 1658-3655

Anandan, R and Gopalakrishnan, Suseendran and Pal, Souvik and Zaman, Noor (2022) Front Matter: Intelligent Analytics for Predictive Maintenance. In: The Industrial Internet of Things (IIoT). Wiley. ISBN 9781119769026

Moyeenudin, H.M. and Anandan, R and Anandan, R (2021) Artificial intelligence for knowing the anticipation of client from online food delivery using big data. Artificial intelligence for knowing the anticipation of client from online food delivery using big data.

Dinesh Kumar, S and Anandan, R and Ekanthamoorthy, J (2015) Advances in Dental-PMMA based artificial teeth through Rapid Prototyping technology. Biomedical Research (India).

Kumar, Sindhe Phani and Anandan, R (2022) Data Verification of Logical Pk-Anonymization with Big Data Application and Key Generation in Cloud Computing. Journal of Function Spaces, 2022. pp. 1-10. ISSN 2314-8896

Sivakumar Reddy, B and Balakrishna, R. and Anandan, R (2021) Ceaseless Rule-Based Learning Methodology for Genetic Fuzzy Rule-Based Systems. Ceaseless Rule-Based Learning Methodology for Genetic Fuzzy Rule-Based Systems.

Anbazhagu, U. V. and Anandan, R (2021) Predicting the Cricket Match Outcome Using ANFIS Classifier for Viewers Opinions on Twitter Data. In: Advances in Intelligent Systems and Computing. springer, pp. 171-182.

D. Fernandez Raj, D and Ganeshkumar, Gunasekaran and Swaraj, Paul and Anandan, R (2017) Query Builder with Horizontal Aggregations in Data Mining for Big Data Analysis. Query Builder with Horizontal Aggregations in Data Mining for Big Data Analysis.

D. Fernandez Raj, D and Ganeshkumar, Gunasekaran and Swaraj Paul, Paul and Anandan, R (2017) Laconic platform of sensor analytics in big data. Laconic platform of sensor analytics in big data.

Senthil Kumar, Janahan and Javed Parvez, Shaik and Arun, S and Anandan, R (2017) A Predictive Analysis of Signatures Using Soft Computing Techniques. A Predictive Analysis of Signatures Using Soft Computing Techniques.

Kumar*, Sindhe Phani and Bolla, Sreenivasulu and Anandan, R (2019) A Research on the Importance of Big Data Analytics in Health Care and Government Sectors. International Journal of Engineering and Advanced Technology, 9 (1). pp. 5471-5473. ISSN 22498958

A, SARANYA, and Anandan, R (2019) Stock Market Prediction using Machine Learning Algorithms. International Journal of Recent Technology and Engineering, 8 (2S4). pp. 280-283. ISSN 2277-3878

C S, Shylaja and Anandan, R and Sajeev, Ram Arumugam (2019) CAD System forLung cancer detection using Adaptive NeuroFuzzy Classifier. International Journal of Pharmaceutical Research, 11 (4). ISSN 09752366