R. Vinayakumar

49 papers Journal 20Unranked 28

Year	Rank	Type	Title / Venue / Authors
2020	J	`jnl`	An Embedded-Based Weighted Feature Selection Algorithm for Classifying Web Document. Wirel. Commun. Mob. Comput. G. Siva Shankar, Ashokkumar Palanivinayagam, R. Vinayakumar, Uttam Ghosh, Wathiq Mansoor, Waleed S. Alnumay
2020	—	`ch.`	DeepDGA-MINet: Cost-Sensitive Deep Learning Based Framework for Handling Multiclass Imbalanced DGA Detection. Handbook of Computer Networks and Cyber Security R. Vinayakumar, K. P. Soman, Prabaharan Poornachandran
2019	J	`jnl`	A Comparative Analysis of Deep Learning Approaches for Network Intrusion Detection Systems (N-IDSs): Deep Learning for N-IDSs. Int. J. Digit. Crime Forensics R. Vinayakumar, K. P. Soman, Prabaharan Poornachandran
2019	J	`jnl`	A Deep Learning Approach for Similar Languages, Varieties and Dialects. CoRR Vidya Prasad K, Akarsh S, R. Vinayakumar, Soman K. P
2019	J	`jnl`	A hybrid deep learning image-based analysis for effective malware detection. J. Inf. Secur. Appl. Sitalakshmi Venkatraman, Mamoun Alazab, R. Vinayakumar
2019	—	`conf`	Amrita-CEN-SentiDB 1: Improved Twitter Dataset for Sentimental Analysis and Application of Deep learning. ICCCNT Naveenkumar K. S, R. Vinayakumar, K. P. Soman
2019	—	`conf`	Deep Learning Approach for Enhanced Cyber Threat Indicators in Twitter Stream. SSCC K. Simran, Prathiksha Balakrishna, R. Vinayakumar, K. P. Soman
2019	J	`jnl`	Deep Learning Approach for Intelligent Intrusion Detection System. IEEE Access R. Vinayakumar, Mamoun Alazab, K. P. Soman, Prabaharan Poornachandran, Ameer Al-Nemrat, Sitalakshmi Venkatraman
2019	J	`jnl`	Deep rectified system for high-speed tracking in images. J. Intell. Fuzzy Syst. Vysakh S. Mohan, R. Vinayakumar, V. Sowmya, K. P. Soman
2019	J	`jnl`	Emotion Detection using Data Driven Models. CoRR Naveenkumar K. S, R. Vinayakumar, Soman K. P
2019	J	`jnl`	RNNSecureNet: Recurrent neural networks for Cyber security use-cases. CoRR Mohammed Harun Babu R, R. Vinayakumar, Soman K. P
2019	J	`jnl`	Robust Intelligent Malware Detection Using Deep Learning. IEEE Access R. Vinayakumar, Mamoun Alazab, K. P. Soman, Prabaharan Poornachandran, Sitalakshmi Venkatraman
2019	J	`jnl`	ScaleNet: Scalable and Hybrid Frameworkfor Cyber Threat Situational AwarenessBased on DNS, URL, and Email Data Analysis. J. Cyber Secur. Mobil. R. Vinayakumar, K. P. Soman, Prabaharan Poornachandran, Vysakh S. Mohan, Amara Dinesh Kumar
2019	—	`conf`	Towards Evaluating the Robustness of Deep Intrusion Detection Models in Adversarial Environment. SSCC S. Sriram, K. Simran, R. Vinayakumar, S. Akarsh, K. P. Soman
2018	J	`jnl`	A Brief Survey on Autonomous Vehicle Possible Attacks, Exploits and Vulnerabilities. CoRR Amara Dinesh Kumar, Koti Naga Renu Chebrolu, R. Vinayakumar, Soman K. P
2018	J	`jnl`	A short review on Applications of Deep learning for Cyber security. CoRR Mohammed Harun Babu R, R. Vinayakumar, Soman K. P
2018	—	`conf`	Alg-Design: Facilitates to Learn Algorithmic Thinking for Beginners. ICCCNT R. Vinayakumar, K. P. Soman, Pradeep Menon
2018	—	`conf`	Building-Blocks: Generating 3D Design by Snapping Blocks. ICCCNT R. Vinayakumar, K. P. Soman, Pradeep Menon
2018	—	`conf`	CT-Blocks Analyser: Analysing CT-Blocks Projects. ICCCNT R. Vinayakumar, K. P. Soman, Pradeep Menon
2018	—	`conf`	CT-Blocks: Learning Computational Thinking by Snapping Blocks. ICCCNT R. Vinayakumar, K. P. Soman, Pradeep Menon
2018	—	`conf`	Comparative Study of the Detection of Malicious URLs Using Shallow and Deep Networks. ICCCNT Anu Vazhayil, R. Vinayakumar, K. P. Soman
2018	—	`conf`	DB-Learn: Studying Relational Algebra Concepts by Snapping Blocks. ICCCNT R. Vinayakumar, K. P. Soman, Pradeep Menon
2018	J	`jnl`	Deep-Net: Deep Neural Network for Cyber Security Use Cases. CoRR R. Vinayakumar, Barathi Ganesh H. B., Prabaharan Poornachandran, Anand Kumar M, Soman K. P
2018	J	`jnl`	DeepImageSpam: Deep Learning based Image Spam Detection. CoRR Amara Dinesh Kumar, R. Vinayakumar, K. P. Soman
2018	J	`jnl`	Detecting Android malware using Long Short-term Memory (LSTM). J. Intell. Fuzzy Syst. R. Vinayakumar, K. P. Soman, Prabaharan Poornachandran, S. Sachin Kumar
2018	J	`jnl`	Detecting malicious domain names using deep learning approaches at scale. J. Intell. Fuzzy Syst. R. Vinayakumar, K. P. Soman, Prabaharan Poornachandran
2018	—	`conf`	Digital Storytelling Using Scratch: Engaging Children Towards Digital Storytelling. ICCCNT R. Vinayakumar, K. P. Soman, Pradeep Menon
2018	—	`conf`	Evaluating Shallow and Deep Neural Networks for Network Intrusion Detection Systems in Cyber Security. ICCCNT Rahul-Vigneswaran K, R. Vinayakumar, K. P. Soman, Prabaharan Poornachandran
2018	J	`jnl`	Evaluating deep learning approaches to characterize and classify malicious URL's. J. Intell. Fuzzy Syst. R. Vinayakumar, K. P. Soman, Prabaharan Poornachandran
2018	J	`jnl`	Evaluating deep learning approaches to characterize and classify the DGAs at scale. J. Intell. Fuzzy Syst. R. Vinayakumar, K. P. Soman, Prabaharan Poornachandran, S. Sachin Kumar
2018	—	`conf`	Fractal Geometry: Enhancing Computational Thinking with MIT Scratch. ICCCNT R. Vinayakumar, K. P. Soman, Pradeep Menon
2018	—	`conf`	Map-Blocks: Playing with Online Data and Infuse to Think in a Computational Way. ICCCNT R. Vinayakumar, K. P. Soman, Pradeep Menon
2018	—	`conf`	S.P.O.O.F Net: Syntactic Patterns for identification of Ominous Online Factors. IEEE Symposium on Security and Privacy Workshops Vysakh S. Mohan, R. Vinayakumar, Soman K. P, Prabaharan Poornachandran
2017	—	`conf`	Applying convolutional neural network for network intrusion detection. ICACCI R. Vinayakumar, K. P. Soman, Prabaharan Poornachandran
2017	—	`conf`	Applying deep learning approaches for network traffic prediction. ICACCI R. Vinayakumar, K. P. Soman, Prabaharan Poornachandran
2017	J	`jnl`	Deep Health Care Text Classification. CoRR R. Vinayakumar, Barathi Ganesh H. B., M. Anand Kumar, K. P. Soman
2017	—	`conf`	Deep Stance and Gender Detection in Tweets on Catalan Independence@Ibereval 2017. IberEval@SEPLN R. Vinayakumar, S. Sachin Kumar, B. Premjith, Prabaharan Poornachandran, Soman Kotti Padannayil
2017	—	`conf`	Deep android malware detection and classification. ICACCI R. Vinayakumar, K. P. Soman, Prabaharan Poornachandran
2017	—	`conf`	Deep encrypted text categorization. ICACCI R. Vinayakumar, K. P. Soman, Prabaharan Poornachandran
2017	—	`conf`	Evaluating effectiveness of shallow and deep networks to intrusion detection system. ICACCI R. Vinayakumar, K. P. Soman, Prabaharan Poornachandran
2017	—	`conf`	Evaluating shallow and deep networks for ransomware detection and classification. ICACCI R. Vinayakumar, K. P. Soman, K. K. Senthil Velan, Shaunak Ganorkar
2017	—	`conf`	Evaluating shallow and deep networks for secure shell (ssh)traffic analysis. ICACCI R. Vinayakumar, K. P. Soman, Prabaharan Poornachandran
2017	J	`jnl`	Evaluation of Recurrent Neural Network and its Variants for Intrusion Detection System (IDS). Int. J. Inf. Syst. Model. Des. R. Vinayakumar, K. P. Soman, Prabaharan Poornachandran
2017	—	`conf`	Long short-term memory based operation log anomaly detection. ICACCI R. Vinayakumar, K. P. Soman, Prabaharan Poornachandran
2017	—	`conf`	NLP CEN AMRITA @ SMM4H: Health Care Text Classification through Class Embeddings. SMM4H@AMIA Barathi Ganesh H. B., R. Vinayakumar, M. Anand Kumar, K. P. Soman
2017	—	`conf`	Secure shell (ssh) traffic analysis with flow based features using shallow and deep networks. ICACCI R. Vinayakumar, K. P. Soman, Prabaharan Poornachandran
2017	—	`conf`	Stock price prediction using LSTM, RNN and CNN-sliding window model. ICACCI Sreelekshmy Selvin, R. Vinayakumar, E. A. Gopalakrishnan, Vijay Krishna Menon, K. P. Soman
2017	—	`conf`	deepCybErNet at EmoInt-2017: Deep Emotion Intensities in Tweets. WASSA@EMNLP R. Vinayakumar, B. Premjith, S. Sachin Kumar, K. P. Soman, Prabaharan Poornachandran
2015	—	`conf`	AMRITA-CEN@SAIL2015: Sentiment Analysis in Indian Languages. MIKE Shriya Se, R. Vinayakumar, M. Anand Kumar, K. P. Soman

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.