P. Ganeshkumar

32 papers Journal 30Unranked 2

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	A Radical Cycle GAN Based Term Memory Integrated Sentiment Analysis (CyG-TMSA) Framework for Social Media Applications. Cogn. Comput. A. N. Arularasan, P. Ganeshkumar, Tahani Albalawi, Mohammad Alkhatib
2026	J	`jnl`	Optimizing deep learning with attention techniques for improved detection of human monkeypox lesions. Biomed. Signal Process. Control. P. Prabu, P. Ganeshkumar, Swapnil M. Parikh, Manoranjan Parhi, R. Murugan, Ala Saleh Alluhaidan
2025	J	`jnl`	Embedded SIM (eSIM)-Based PQC-Enabled Authentication and Provisioning Techniques for Enhancing Security in Edge-Based IoT Ecosystem. IEEE Trans. Consumer Electron. N. Sethu Subramanian, Kurunandan Jain, Prabhakar Krishnan, P. Prabu, P. Ganeshkumar
2024	J	`jnl`	A novel fuzzy programming approach for piece selection problem in P2P content distribution network. PeerJ Comput. Sci. M. Anandaraj, P. Ganeshkumar, S. Naganandhini, K. Selvaraj
2021	J	`jnl`	An Efficient Framework for Piece Selection Problem in P2P Content Distribution Network Using Fuzzy Programming Approach. CoRR S. Naganandhini, M. Anandaraj, S. Manojkumar, K. Selvaraj, P. Ganeshkumar
2021	J	`jnl`	Genetic Algorithm Based Resource Minimization in Network Code Based Peer-to-Peer Network. J. Circuits Syst. Comput. M. Anandaraj, K. Selvaraj, P. Ganeshkumar, K. Rajkumar, S. Sriram
2020	J	`jnl`	An Efficient Framework for Network Code based Multimedia Content Distribution in Hybrid P2P Network. J. Circuits Syst. Comput. M. Anandaraj, P. Ganeshkumar, K. Selvaraj, K. P. Vijayakumar
2020	J	`jnl`	Automatic method for classification of groundnut diseases using deep convolutional neural network. Soft Comput. M. P. Vaishnnave, K. SuganyaDevi, P. Ganeshkumar
2020	J	`jnl`	Low Complexity Linear Detection for Uplink Multiuser MIMO SC-FDMA Systems. Wirel. Pers. Commun. K. Selvaraj, David Judson, P. Ganeshkumar, M. Anandaraj
2020	J	`jnl`	Routing using reinforcement learning in vehicular ad hoc networks. Comput. Intell. M. Saravanan, P. Ganeshkumar
2020	J	`jnl`	Software reliability prediction model with realistic assumption using time series (S)ARIMA model. J. Ambient Intell. Humaniz. Comput. K. Kumaresan, P. Ganeshkumar
2019	J	`jnl`	An Efficient Framework for Network Code based Multimedia Content Distribution in a Hybrid P2P Network. CoRR M. Anandaraj, K. Selvaraj, P. Ganeshkumar, K. P. Vijayakumar
2019	J	`jnl`	Genetic Algorithm Based Resource Minimization in Network Code Based Peer-to-Peer Network. CoRR M. Anandaraj, K. Selvaraj, P. Ganeshkumar
2019	J	`jnl`	Jamming detection approach based on fuzzy assisted multicriteria decision-making system for wireless sensor networks. Int. J. Commun. Syst. K. P. Vijayakumar, P. Ganeshkumar
2019	J	`jnl`	Software reliability modeling using increased failure interval with ANN. Clust. Comput. K. Kumaresan, P. Ganeshkumar
2018	J	`jnl`	Fuzzy logic-based jamming detection algorithm for cluster-based wireless sensor network. Int. J. Commun. Syst. K. P. Vijayakumar, P. Ganeshkumar, M. Anandaraj, K. Selvaraj, P. Sivakumar
2018	J	`jnl`	Multi-objective Task Scheduling to Minimize Energy Consumption and Makespan of Cloud Computing Using NSGA-II. J. Netw. Syst. Manag. A. Sathya Sofia, P. Ganeshkumar
2018	J	`jnl`	QoSTRP: A Trusted Clustering Based Routing Protocol for Mobile Ad-Hoc Networks. Program. Comput. Softw. R. Raja, P. Ganeshkumar
2018	J	`jnl`	Quality of Service Enhancement in Wireless Sensor Network Using Flower Pollination Algorithm. Program. Comput. Softw. R. Muruganantham, P. Ganeshkumar
2017	J	`jnl`	An efficient automated methodology for detecting and segmenting the ischemic stroke in brain MRI images. Int. J. Imaging Syst. Technol. P. Sivakumar, P. Ganeshkumar
2017	J	`jnl`	CANFIS based glioma brain tumor classification and retrieval system for tumor diagnosis. Int. J. Imaging Syst. Technol. P. Sivakumar, P. Ganeshkumar
2016	J	`jnl`	A novel jammer detection framework for cluster-based wireless sensor networks. EURASIP J. Wirel. Commun. Netw. P. Ganeshkumar, K. P. Vijayakumar, M. Anandaraj
2016	J	`jnl`	Adaptive Neuro-Fuzzy-Based Anomaly Detection System in Cloud. Int. J. Fuzzy Syst. P. Ganeshkumar, N. Pandeeswari
2016	J	`jnl`	Iterative MMSE equalization and CFO compensation for the uplink SC-FDMA transmission. Int. J. Commun. Syst. K. Selvaraj, P. Ganeshkumar, M. Anandaraj
2016	J	`jnl`	Iterative nonlinear detection for SFBC SC-FDMA uplink MIMO transmission systems. Int. J. Commun. Syst. P. Ganeshkumar, K. Selvaraj, M. Anandaraj, K. P. Vijayakumar
2015	J	`jnl`	A Novel Jamming Detection Technique for Wireless Sensor Networks. KSII Trans. Internet Inf. Syst. K. P. Vijayakumar, P. Ganeshkumar, M. Anandaraj
2015	J	`jnl`	Computer aided brain tumor detection system using watershed segmentation techniques. Int. J. Imaging Syst. Technol. P. Shanthakumar, P. Ganeshkumar
2015	J	`jnl`	Performance analysis of classifier for brain tumor detection and diagnosis. Comput. Electr. Eng. P. Shanthakumar, P. Ganeshkumar
2015	J	`jnl`	Secure and Efficient Transmission in Mobile Ad hoc Network to Identify the Fake ID's Using Fake ID Detection Protocol. J. Comput. Sci. S. Gopalakrishnan, P. Ganeshkumar
2011	—	`conf`	Evaluation of Computer Usage in Healthcare Among Private Practitioners of NCT Delhi. MIE P. Ganeshkumar, Sharma Arun Kumar, O. P. Rajoura
2009	J	`jnl`	An Analysis of Energy Consumption on ACK plus Rate Packet in Rate Based Transport Protocol CoRR P. Ganeshkumar, K. Thyagarajah
2008	—	`conf`	PATPAN: Power Aware Transport Protocol for Adhoc Networks. ICETET P. Ganeshkumar, K. Thyagarajah

Nicolò Altamura is a security engineer and computer science researcher specializing in software protection, reverse engineering, program analysis, and binary deobfuscation. He holds a master's degree in Computer Science and Engineering from the University of Verona, graduating with honors, and works at emproof, focusing on software protection and the challenges of analyzing and understanding compiled software.

His research explores the relationship between program analysis and code obfuscation, with particular emphasis on how software transformations affect the ability of automated tools to recover program behavior. His interests span static analysis, binary analysis, decompilation, reverse engineering, and techniques for analyzing and simplifying obfuscated code.

Beyond academic research, Nicolò develops and contributes to tools for reverse engineering and software analysis. His projects include obfuscation_analysis, a Binary Ninja plugin for analyzing and simplifying obfuscated code; Pocket, an obfuscator for mixed Boolean-arithmetic expressions; and ptxNinja, a tool for reverse engineering NVIDIA GPU code represented in the PTX virtual instruction set.

His research also extends to binary datasets and software evolution. In 2026, he co-authored ASSEMBLAGE-DEEPHISTORY: A Cross-Build Binary Dataset with Temporal Coverage, a research work addressing the availability of binary data across multiple software builds and points in time, supporting research into binary analysis and changes between program versions.

Across his research, engineering work, and open-source contributions, Nicolò focuses on advancing the understanding, analysis, and protection of software against increasingly sophisticated obfuscation and reverse-engineering challenges.

Nicolò Altamura is not a football player. Please avoid reporting this kind of infromation.