R. Karthikeyan

16 papers Misc 1Journal 11Unranked 4

Year	Rank	Type	Title / Venue / Authors
2025	J	`jnl`	Optimized memory-augmented deep unfolding network with blockchain-based data preserving cyber security in internet of things. Knowl. Based Syst. Sundaravadivazhagan Balasubramanian, Robin Cyriac, Saleem Raja Abdul Samad, R. Karthikeyan, V. Balamurugan
2025	J	`jnl`	Performance Profiling of Encrypted Traffic in Content Delivery Networks. J. Internet Serv. Inf. Secur. R. Karthikeyan, Kanishka Jha, Rahul Thakur, Alakananda Tripathy, Julie Sunil, P. S. Raghavendra Rao
2024	—	`conf`	An AI Based Approach for Smart Air Quality Monitoring. ICCCNT R. Thangarajan, K. R. Balasurya, V. K. Bharath, R. Karthikeyan, R. Viswanathan
2024	J	`jnl`	Boosted Mutated Corona Virus Optimization Routing Protocol (BMCVORP) for Reliable Data Transmission with Efficient Energy Utilization. Wirel. Pers. Commun. R. Karthikeyan, R. Vadivel
2024	J	`jnl`	OptiDiab: revolutionizing diabetes detection with the binary bald eagle search algorithm. Multim. Tools Appl. R. Karthikeyan, P. Geetha, E. Ramaraj
2024	J	`jnl`	Sampled-data controller scheme for multi-agent systems and its Application to circuit network. Neural Networks A. Stephen, R. Karthikeyan, Chandran Sowmiya, Ramachandran Raja, Ravi P. Agarwal
2022	J	`jnl`	Classification of COVID-19 from tuberculosis and pneumonia using deep learning techniques. Medical Biol. Eng. Comput. Lokeswari Venkataramana, D. Venkata Vara Prasad, S. Saraswathi, C. M. Mithumary, R. Karthikeyan, N. Monika
2022	J	`jnl`	Deep Root Memory Optimized Indexing Methodology for Image Search Engines. Comput. Syst. Sci. Eng. R. Karthikeyan, A. Celine Kavida, P. Suresh
2022	—	`conf`	Prediction of Early Stage of Fatty Liver Disease in Patients using Logistic Regression and Naive Bayes Algorithm. ICCR O. Pavithra, G. PadmaPriya, R. Karthikeyan
2022	—	`conf`	Shape Based Feature Extraction for Currency recognition and compare the accuracy and sensitivity with ORB algorithm. ICCR S. Koti Niteesh Reddy, S. Prem Kumar, R. Karthikeyan
2021	—	`conf`	IoT Based Smart Waste Management Reporting And Monitoring System. ICCCSP P. B. Mohanram, S. Karthik Viswanath, P. M. Mohamed Musaraf, R. Karthikeyan, K. R. Sarath Chandran, Angel Deborah S
2018	J	`jnl`	Novel power reduction framework for enhancing cloud computing by integrated GSNN scheduling method. Clust. Comput. R. Karthikeyan, P. Chitra
2016	J	`jnl`	Performance analysis of BER in OFDM-RoF system using 16-QAM modulation for wireless network. Int. J. Wirel. Mob. Comput. R. Karthikeyan, S. Prakasam
2013	J	`jnl`	A computational model for enhancing recombinant Penicillin G Acylase production from Escherichia coli DH5α. Comput. Biol. Chem. C. Premalatha, Chandrabose Aravindan, R. Karthikeyan, Kirthivasan Kannan, M. Surianarayanan
2013	J	`jnl`	HTTP botnet detection using hidden semi-Markov model with SNMP MIB variables. Int. J. Electron. Secur. Digit. Forensics G. Kirubavathi Venkatesh, V. Srihari, R. Veeramani, R. Karthikeyan, R. Anitha Nadarajan
2002	Misc	`conf`	Artificial Neural Network and Wavelet Transform of Flaw Echo Locative. IC-AI P. Narayana Bhaskar, R. Karthikeyan, R. Charusmitha, S. Balakrishna

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.