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Journal Articles
- 2023
[j11]R. Padmanaban, M. Thirumaran, R. Aruna, L. Jayakumar:
PIRAP: Security Assessment Framework for Heterogeneous Web Service Composition. Int. J. Cooperative Inf. Syst. 32(1&2): 2250003:1-2250003:22 (2023)- [j10]C. Rajeswary, M. Thirumaran:
The LSTM-based automated phishing detection driven model for detecting multiple attacks on Tor hidden services. J. Intell. Fuzzy Syst. 44(6): 8889-8903 (2023) - 2022
- [j9]M. Ganesan, N. Sivakumar, M. Thirumaran, T. Vengattaraman:
Internet of medical things and cloud enabled brain tumour diagnosis model using deep learning with kernel extreme learning machine. Int. J. Electron. Heal. 12(3): 203-220 (2022) - [j8]R. Padmanaban, M. Thirumaran, P. Anitha, A. Moshika:
Computability evaluation of RESTful API using Primitive Recursive Function. J. King Saud Univ. Comput. Inf. Sci. 34(2): 457-467 (2022) - 2021
- [j7]A. Moshika
, M. Thirumaran, Balaji Natarajan, K. Andal, G. Sambasivam, Rajesh Manoharan:
Vulnerability Assessment in Heterogeneous Web Environment Using Probabilistic Arithmetic Automata. IEEE Access 9: 74659-74673 (2021) - 2020
- [j6]M. Ganesan, N. Sivakumar, M. Thirumaran:
Internet of medical things with cloud-based e-health services for brain tumour detection model using deep convolution neural network. Electron. Gov. an Int. J. 16(1/2): 69-83 (2020) - [j5]Edward Rolando Núñez-Valdéz, Vijender Kumar Solanki, Sivadi Balakrishna, M. Thirumaran:
Incremental Hierarchical Clustering driven Automatic Annotations for Unifying IoT Streaming Data. Int. J. Interact. Multim. Artif. Intell. 6(2): 1-15 (2020) - [j4]Sivadi Balakrishna, M. Thirumaran, R. Padmanaban, Vijender Kumar Solanki:
An efficient incremental clustering based improved K-Medoids for IoT multivariate data cluster analysis. Peer-to-Peer Netw. Appl. 13(4): 1152-1175 (2020) - 2016
- [j3]M. Thirumaran, G. Gayathry Brendha:
Incremental stages of a semantic framework for automating the changes on long term composed services. Hum. centric Comput. Inf. Sci. 6: 13 (2016) - [j2]M. Thirumaran, M. Jannani, N. Sivakumar:
A formal approach for change impact analysis of long term composed services using Probabilistic Cellular Automata. J. King Saud Univ. Comput. Inf. Sci. 28(2): 211-229 (2016) - 2014
- [j1]M. Thirumaran, M. Jannani, P. Dhavachelvan:
Optimized Incident Matching and Auto-Mated Verification of Composition PAT-terns in Long Term Composed Services. J. Comput. Sci. 10(10): 1946-1954 (2014)
Conference and Workshop Papers
- 2016
- [c7]M. Thirumaran, R. Padmanaban, J. Nandhini:
Security Validation Using Linear Bounded Automata in Web Service Environment. ICIA 2016: 52:1-52:9 - [c6]R. Padmanaban, M. Thirumaran, K. Suganya, R. Vishnu Priya:
AOSE Methodologies and Comparison of Object Oriented and Agent Oriented Software Testing. ICIA 2016: 119:1-119:16 - [c5]M. Thirumaran, N. Sivakumar, P. Banupriya, T. Bhargavi:
Self-Regulating Interactive Voice Response System Using Backpatching Technique. ICIA 2016: 128:1-128:8 - 2012
- [c4]M. Thirumaran, P. Dhavachelvan, D. Aishwarya:
Business workflow growth rate analysis using cellular automata. CCSEIT 2012: 315-321 - [c3]M. Thirumaran, P. Dhavachelvan, G. Naga Venkata Kiran:
A collaborative framework for evaluation of run-time changes in enterprise web services. CUBE 2012: 413-418 - [c2]M. Thirumaran, Dhavachelvan Ponnurangam, G. Naga Venkata Kiran, A. Divya:
A novel framework for enterprise web services change management. ICACCI 2012: 21-27 - 2009
- [c1]Kiran Kumar Reddy D, Karthiek Maralla, Raj Kumar G, M. Thirumaran:
A greedy approach with criteria factors for QoS based web service discovery. Bangalore Compute Conf. 2009: 12
Informal and Other Publications
- 2011
- [i2]M. Thirumaran, P. Dhavachelvan, Aranganayagi G., S. Abarna:
Evaluation of Computability Criterions for Runtime Web Service Integration. CoRR abs/1111.1586 (2011) - [i1]M. Thirumaran, P. Dhavachelvan, S. Abarna, Lakshmi P.:
Finite State Machine Based Evaluation Model for Web Service Reliability Analysis. CoRR abs/1111.2750 (2011)
Coauthor Index
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