R. Ravi

14 papers Journal 14

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Revolutionizing lung cancer detection using hybrid CNN-LSTM (HCLSTM) for accurate diagnosis and enhanced nodule classification. Biomed. Signal Process. Control. A. Lavanya Mathiyalagi, R. Ravi
2024	J	`jnl`	Advancing skin cancer diagnosis with a multi-branch ShuffleNet architecture. Int. J. Imaging Syst. Technol. G. Prince Devaraj, R. Ravi
2024	J	`jnl`	Integrating Multi-Scale Feature Boundary Module and Feature Fusion With CNN for Accurate Skin Cancer Segmentation and Classification. Int. J. Imaging Syst. Technol. S. Malaiarasan, R. Ravi
2021	J	`jnl`	Smart card authentication model based on elliptic curve cryptography in IoT networks. Int. J. Electron. Secur. Digit. Forensics A. Shakeela Joy, R. Ravi
2020	J	`jnl`	A performance analysis of Software Defined Network based prevention on phishing attack in cyberspace using a deep machine learning with CANTINA approach (DMLCA). Comput. Commun. Edwin Raja S., R. Ravi
2020	J	`jnl`	Concoction Node Fault Discovery (CNFD) on Wireless Sensor Network Using the Neighborhood Density Estimation in SHM. Wirel. Pers. Commun. S. Surya, R. Ravi
2020	J	`jnl`	Hybrid features and optimization-driven recurrent neural network for glaucoma detection. Int. J. Imaging Syst. Technol. F. Ajesh, R. Ravi
2020	J	`jnl`	Noninvasive methods of classification and staging of chronic hepatic diseases. Int. J. Imaging Syst. Technol. V. Antony Asir Daniel, R. Ravi
2019	J	`jnl`	An Enhanced Steiner Hierarchy (E-SH) Protocol to Mitigate the Bottleneck in Wireless Sensor Networks (WSN). Wirel. Pers. Commun. K. Praghash, R. Ravi
2019	J	`jnl`	MPSO-SHM: Modified PSO Based Structural Health Monitoring System for Detecting the Faulty Sensors in WSN. Wirel. Pers. Commun. S. Surya, R. Ravi
2019	J	`jnl`	Novel Trust Based Energy Aware Routing Mechanism for Mitigation of Black Hole Attacks in MANET. Wirel. Pers. Commun. R. Tino Merlin, R. Ravi
2019	J	`jnl`	Physical-traffic attentive vigorous routing (P-TAVR) and hot-spot detection to reduce the bottleneck in WSN. Clust. Comput. K. Praghash, R. Ravi
2016	J	`jnl`	Scrutiny of unruly and abuse in wireless networks to mitigate physical layer threats using discriminate based misbehavior prevention. Clust. Comput. S. Raja Ratna, R. Ravi
2015	J	`jnl`	An intelligent approach based on neuro-fuzzy detachment scheme for preventing jamming attack in wireless networks. J. Intell. Fuzzy Syst. S. Raja Ratna, R. Ravi, Beulah Shekhar

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.

In 2025, he co-authored Assessing the Effectiveness of the Tigress Obfuscator Against MOPSA and BinaryNinja, published at CheckMATE. The paper evaluates the effectiveness of obfuscation techniques and their impact on source-level static analysis and binary-level decompilation.

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.