R. Sabitha - RankMe

21 papers Journal 20Unranked 1

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	PAVE-GAN: Pose and Activity Estimation Via Visual Edge-Based Generative Adversarial Network for Parkinson Disease Detection. Int. J. Comput. Intell. Syst. G. Gokila Deepa, S. Karthik, Muthu Subash Kavitha, R. Sabitha
2025	J	`jnl`	A fashion product recommendation based on adaptive VPKNN-NET algorithm without fuzzy similar image. Frontiers Big Data R. Sabitha, D. Sundar
2024	—	`conf`	Ethereum Powered Web3 Crowdfunding Platform. ICCCSP S. B. Indra, S. Harshini, R. Sabitha
2023	J	`jnl`	Enhanced Security with Improved Defensive Routing Mechanism in Wireless Sensor Networks. Comput. Syst. Sci. Eng. R. Sabitha, C. Gokul Prasad, S. Karthik
2023	J	`jnl`	Improved Load-Balanced Clustering for Energy-Aware Routing (ILBC-EAR) in WSNs. Comput. Syst. Sci. Eng. D. Loganathan, M. Balasubramani, R. Sabitha, S. Karthik
2023	J	`jnl`	Network Based Detection of IoT Attack Using AIS-IDS Model. Wirel. Pers. Commun. R. Sabitha, S. Gopikrishnan, B. J. Bejoy, V. Anusuya, V. Saravanan
2023	J	`jnl`	Premature Infant Cry Classification via Deep Convolutional Recurrent Neural Network Based on Multi-class Features. Circuits Syst. Signal Process. R. Sabitha, P. Poonkodi, Muthu Subash Kavitha, S. Karthik
2022	J	`jnl`	A Fuzzy Trust Evaluation of Cloud Collaboration Outlier Detection in Wireless Sensor Networks. Ad Hoc Sens. Wirel. Networks R. Sabitha, Anand Prakash Shukla, Abolfazl Mehbodniya, L. Shakkeera, Pundru Chandra Shaker Reddy
2022	J	`jnl`	Artificial Intelligence Applications with e-Learning System for China's Higher Education Platform. J. Interconnect. Networks Xiaoran Fu, K. Lokesh Krishna, R. Sabitha
2022	J	`jnl`	Image steganalysis: real-time adaptive colour image segmentation for hidden message retrieval and Matthew's correlation coefficient calculation. Int. J. Inf. Comput. Secur. B. Yamini, R. Sabitha
2022	J	`jnl`	Machine Learning in Human Emotion Detection from the Speech. J. Interconnect. Networks Xiaoli Qiu, Wei Li, Yang Li, Hongmei Gu, Fei Song, R. Sabitha
2021	J	`jnl`	A secure model on Advanced Fake Image-Feature Network (AFIFN) based on deep learning for image forgery detection. Pattern Recognit. Lett. M. Ananthi, P. Rajkumar, R. Sabitha, S. Karthik
2021	J	`jnl`	Brain Tumor Detection with Biologically Inspired Watershed Segmentation and Classification Based on Feed-Forward Neural Network (FNN). J. Medical Imaging Health Informatics G. S. Gopika, J. Shanthini, Muthu Subash Kavitha, R. Sabitha
2021	J	`jnl`	Cluster-Based Systematic Data Aggregation Model (CSDAM) for Real-Time Data Processing in Large-Scale WSN. Wirel. Pers. Commun. M. Shobana, R. Sabitha, S. Karthik
2021	J	`jnl`	Energy Aware Efficient Data Aggregation (EAEDAR) with Re-scheduling Mechanism Using Clustering Techniques in Wireless Sensor Networks. Wirel. Pers. Commun. D. Loganathan, M. Balasubramani, R. Sabitha
2021	J	`jnl`	Enhanced model for fake image detection (EMFID) using convolutional neural networks with histogram and wavelet based feature extractions. Pattern Recognit. Lett. R. Sabitha, A. Aruna, S. Karthik, J. Shanthini
2021	J	`jnl`	Mouse Movement Pattern Based Analysis of Customer Behavior (CBA-MMP) Using Cloud Data Analytics. Wirel. Pers. Commun. J. Raj Kannan, R. Sabitha, S. Karthik, J. Shanthini
2021	J	`jnl`	Position-Based Adaptive Clustering Model (PACM) for Efficient Data Caching in Vehicular Named Data Networks (VNDN). Wirel. Pers. Commun. V. Sampath, S. Karthik, R. Sabitha
2019	J	`jnl`	A smart power saving protocol for IoT with wireless energy harvesting technique. Clust. Comput. S. Madhurikkha, R. Sabitha
2019	J	`jnl`	ECM-CSD: An Efficient Classification Model for Cancer Stage Diagnosis in CT Lung Images Using FCM and SVM Techniques. J. Medical Syst. Muthu Subash Kavitha, J. Shanthini, R. Sabitha
2019	J	`jnl`	Using cloud effectively in concept based text mining using grey wolf self organizing feature map. Clust. Comput. R. Thilagavathy, R. Sabitha

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.