Ramesh Vatambeti

22 papers Journal 22

Year	Rank	Type	Title / Venue / Authors
2025	J	`jnl`	A spider wasp-based deep neural prediction framework for emotion recognition and sentiment analysis in big data. Discov. Comput. Pamula Udayaraju, Sirisha G. N. V. G., Ravi Babu Devareddi, R. Sathish Kumar, T. Santhi Sri, Nanditha Boddu, Ramesh Vatambeti
2025	J	`jnl`	Advancing automated street crime detection: a drone-based system integrating CNN models and enhanced feature selection techniques. Int. J. Mach. Learn. Cybern. Lakshma Reddy Vuyyuru, NagaMalleswara Rao Purimetla, Kancharakunt Yakub Reddy, Sai Srinivas Vellela, Khader Basha S. K, Ramesh Vatambeti
2025	J	`jnl`	Cyber threat detection in industry 4.0: Leveraging GloVe and self-attention mechanisms in BiLSTM for enhanced intrusion detection. Comput. Electr. Eng. Sai Srinivas Vellela, Roja D, NagaMalleswara Rao Purimetla, Syamsundararao Thalakola, Lakshma Reddy Vuyyuru, Ramesh Vatambeti
2025	J	`jnl`	Enhancing intrusion detection in MANETs with blockchain-based trust management and enhanced GRU model. Peer Peer Netw. Appl. E. S. Phalguna Krishna, Daria Sandeep, Raviteja Kocherla, Kranthi Kumar Lella, Srikanth Molugu, Shaik Hussain Shaik Ibrahim, Ramesh Vatambeti
2024	J	`jnl`	Analyzing Public Sentiment on the Amazon Website: A GSK-Based Double Path Transformer Network Approach for Sentiment Analysis. IEEE Access Kranthi Kumar Lella, Venkata Nagaraju Thatha, Pamula Udayaraju, D. Siri, G. Uday Kiran, B. Naga Jagadesh, Ramesh Vatambeti
2024	J	`jnl`	Black hole attack detection using Dolphin Echo-location-based machine learning model in MANET environment. Comput. Electr. Eng. Ramesh Vatambeti, Srihari Varma Mantena, K. V. D. Kiran, Chennupalli Srinivasulu, M. Venu Gopalachari
2024	J	`jnl`	Designing a modified feature aggregation model with hybrid sampling techniques for network intrusion detection. Clust. Comput. NarasimhaSwamy Biyyapu, Esther Jyothi Veerapaneni, Surapaneni Phani Praveen, Sai Srinivas Vellela, Ramesh Vatambeti
2024	J	`jnl`	Enhancing anomaly detection: A comprehensive approach with MTBO feature selection and TVETBO Optimized Quad-LSTM classification. Comput. Electr. Eng. N. V. Rajasekhar Reddy, N. Sree Divya, B. Naga Jagadesh, Ramu Gandikota, Kranthi Kumar Lella, Bhasha Pydala, Ramesh Vatambeti
2024	J	`jnl`	Improved snake optimization-based task scheduling in cloud computing. Computing Vijay Kumar Damera, G. Vanitha, B. Indira, G. Sirisha, Ramesh Vatambeti
2024	J	`jnl`	IoT energy efficiency routing protocol using FHO-based clustering and improved CSO model-based routing in MANET. Int. J. Commun. Syst. Shridhar Sanshi, Karthik N, Ramesh Vatambeti
2024	J	`jnl`	Securing the medical data using enhanced privacy preserving based blockchain technology in Internet of Things. Clust. Comput. Ramesh Vatambeti, E. S. Phalguna Krishna, M. Ganesh Karthik, Vijay Kumar Damera
2024	J	`jnl`	Twitter sentiment analysis on online food services based on elephant herd optimization with hybrid deep learning technique. Clust. Comput. Ramesh Vatambeti, Srihari Varma Mantena, K. V. D. Kiran, M. Manohar, Chinthakunta Manjunath
2023	J	`jnl`	An efficient clustering approach for optimized path selection and route maintenance in mobile ad hoc networks. J. Ambient Intell. Humaniz. Comput. Ramesh Vatambeti, Shridhar Sanshi, Pramodh Krishna D.
2023	J	`jnl`	Enhancing the energy efficiency for prolonging the network life time in multi-conditional multi-sensor based wireless sensor network. J. Control. Decis. Raviteja Kocherla, M. Chandra Sekhar, Ramesh Vatambeti
2023	J	`jnl`	Segmentation Using the IC2T Model and Classification of Diabetic Retinopathy Using the Rock Hyrax Swarm-Based Coordination Attention Mechanism. IEEE Access B. Naga Jagadesh, M. Ganesh Karthik, D. Siri, S. K. Khaja Shareef, Srihari Varma Mantena, Ramesh Vatambeti
2022	J	`jnl`	A Novel Georouting Potency based Optimum Spider Monkey Approach for Avoiding Congestion in Energy Efficient Mobile Ad-hoc Network. Wirel. Pers. Commun. Nanditha Boddu, Veeramallu Bobba, Ramesh Vatambeti
2022	J	`jnl`	An Adaptive Cluster based Vehicular Routing Protocol for Secure Communication. Wirel. Pers. Commun. N. Sree Divya, Veeramallu Bobba, Ramesh Vatambeti
2022	J	`jnl`	An Efficient Routing Strategy for Energy Management in Wireless Sensor Network Using Hybrid Routing Protocols. Wirel. Pers. Commun. Raviteja Kocherla, Ramesh Vatambeti
2022	J	`jnl`	An IoT-based agriculture maintenance using pervasive computing with machine learning technique. Int. J. Intell. Comput. Cybern. Kailasam Swathi, Sampath Dakshina Murthy Achanta, Pamarthi Rama Koteswara Rao, Ramesh Vatambeti, Saikumar Kayam
2022	J	`jnl`	Secured personal health records using pattern-based verification and two-way polynomial protocol in cloud infrastructure. Int. J. Ad Hoc Ubiquitous Comput. D. N. V. S. L. S. Indira, R. Abinaya, Suresh Babu Chandanapalli, Ramesh Vatambeti
2020	J	`jnl`	A Novel Wolf Based Trust Accumulation Approach for Preventing the Malicious Activities in Mobile Ad Hoc Network. Wirel. Pers. Commun. Ramesh Vatambeti
2020	J	`jnl`	Identifying and detecting black hole and gray hole attack in MANET using gray wolf optimization. Int. J. Commun. Syst. Ramesh Vatambeti, Kola Sangeetha Supriya, Shridhar Sanshi

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.