A S N CHAKRAVARTHY

Scopus Publications

Attribute-Adaptive Noise Injection for Robust Differential Privacy in Cyber Physical Systems
Manas Kumar Yogi, A.S.N. Chakravarthy
International Journal of Wireless and Microwave Technologies, 2026
This paper introduces Attribute-Adaptive Noise Injection (AANI), a novel approach to enhance differential privacy in Cyber-Physical Systems (CPS). AANI addresses the privacy-utility trade-off by dynamically adjusting noise injection based on individual data attribute sensitivity, correlation, and utility needs. This tailored approach allows for fine-grained privacy control, adapting to the diverse data generated by CPS components. The paper outlines AANI's framework, proposes efficient algorithms for attribute-specific noise calculation, and demonstrates its effectiveness through simulations. Results show AANI outperforms traditional differential privacy methods by improving both privacy protection and data utility in CPS.
A hybrid lightweight feature extraction assisted ensemble approach for intrusion detection with ESMOTE-based class imbalance handling in IoT networks
T. Ammannamma, ASN Chakravarthy
Computers and Electrical Engineering, 2026
Enhancing privacy and security in Federated learning protecting electronic health records data from adversarial attacks
Burra Lalitha Rajeswari, A.S.N. Chakravarthy
Informatics for Health and Social Care, 2026
Federated Learning (FL) is a revolutionary approach to machine learning that allows multiple institutions, such as healthcare organizations, to collaboratively train models without sharing sensitive data directly. The problem involves protecting Electronic Health Records (EHRs) in FL from adversarial attacks while maintaining privacy. This requires ensuring secure data aggregation, anonymization, and robust model training across diverse healthcare institutions without compromising sensitive patient information. The objectives are to enhance privacy and security in FL for EHRs by implementing anonymization, adversarial pattern detection, context-aware aggregation, and robust model training. This ensures protection from adversarial attacks while maintaining compliance with privacy standards like HIPAA. Adaptive Weighted Median Filtering (AWMF) improves FL robustness by reducing noise, outliers, and adversarial attacks, ensuring accurate, privacy-preserving model training. The Cuckoo-based Deep Convolutional Long-Term Memory (CDC-LSTM) combines convolutional layers and memory networks to enhance FL, improving robustness against adversarial attacks while ensuring secure EHR data processing. Federated Privacy-Preserving Mesh Networks (F-PPMN) enhance FL by creating secure, decentralized communication channels, protecting EHRs from adversarial attacks and preserving privacy. Findings show that anonymized EHR attributes (90%-290%) slightly reduce data richness compared to original attributes (100%-300%) while maintaining privacy. This demonstrates a balance between data utility and confidentiality in FL and is implemented in Python Software. Future advancements include integrating federated encryption, multi-party computation, and improved adversarial attack detection, enhancing privacy and security in FL for EHRs while ensuring robust, accurate model performance across diverse healthcare environments.
Adaptive attention transformer mechanism with CED model for end to end real-time single channel speech enhancement
Anil Kumar Prathipati, A S N Chakravarthy
Engineering Research Express, 2026
Speech enhancement (SE) plays a vital role in applications such as mobile communication and automatic speech recognition. However, existing attention-based SE models often fail to simultaneously capture channel, frequency, and temporal dependencies, limiting their ability to generalize under diverse noise conditions. To address this, we propose AATCEDNet, a novel Adaptive Attention Transformer integrated with a Convolutional Encoder—Decoder (CED) framework for real-time single-channel speech enhancement. Our design introduces Adaptive Attention Transformer Network (AATN), composed of Adaptive Cross-Channel Attention (ACA) module for dynamic channel refinement, and dual-domain transformers combining Adaptive Frequency Attention (AFA) and Adaptive Time Attention (ATA) to effectively model long-range time-frequency dependencies. Furthermore, a dense encoder—decoder with D2Net blocks captures multi-scale features, while a subpixel convolution decoder with dual-path masking ensures accurate spectrogram reconstruction at low computational cost. Evaluations on OpenSLR (Telugu), NOIZEUS, and VoiceBank-DEMAND datasets demonstrate that AATCEDNet consistently outperforms state-of-the-art baselines such as MSCUNet, SCU-Net, and SEGAN. Under unseen noise conditions, AATCEDNet achieves average improvements of +1.7 % STOI and +0.33 PESQ compared to MSCUNet, while reducing model complexity. Ablation studies further confirm the critical roles of ACA and ATA in improving intelligibility. These results highlight AATCEDNet’s ability to deliver real-time, high-quality speech enhancement with strong generalization across diverse noise environments, making it suitable for practical real-time speech-driven systems.
EAURP: An energy-efficient and trust-aware unobservable routing protocol for secure mobile Ad Hoc networks
A. Chandra, A.S.N. Chakravarthy
Sustainable Computing Informatics and Systems, 2026
An Energy-Efficient Based Secure IOT Data Transfer with Hashed Data Access Policy Using ACROT-DHSKECC and LSCRC32
Tamarapalli Anjikumar, A.S.N. Chakravarthy
Journal of Telecommunications and the Digital Economy, 2025
The rapid expansion of Internet of Things (IoT) applications in healthcare has amplified the need for secure, efficient, and scalable data transmission frameworks. This study proposes an energy-aware and secure IoT-based data transmission architecture tailored for remote healthcare monitoring systems. Unlike conventional encryption-centric models, the proposed framework integrates lightweight double encryption (ACROT-DHSKECC) and hashed access control (LSCRC32) with optimised network path selection using clustering and Grasshopper Optimisation Algorithm (GOA). This integration reduces latency, enhances node-level energy efficiency, and secures data transmission over distributed networks. The system’s design aligns with next-generation telecom infrastructure, making it well-suited for deployment in 5G-enabled smart healthcare environments. Simulation results demonstrate reduced hash generation time, lower memory usage, and enhanced encryption performance, affirming its viability for secure data delivery in modern digital health ecosystems.
Multi-objective hybrid green anaconda skill optimization enabled energy and cache based QoS aware routing in delay tolerant–IoT network
Ashapu Bhavani, Attada Venkataramana, A.S.N. Chakravarthy
Sustainable Computing Informatics and Systems, 2025
A bio-inspired optimal feature with convolutional GhostNet based squeeze excited deep-scale capsule network for intrusion detection
Tamminina Ammannamma, A S N Chakravarthy
Computers and Security, 2025
A novel user centric privacy mechanism in cyber physical system
Manas Kumar Yogi, A.S.N. Chakravarthy
Computers and Security, 2025
A Customised Privacy Preservation Mechanism for Cyber-Physical Systems
Manas Kumar Yogi, A.S.N. Chakravarthy
Securing the Digital Frontier Threats and Advanced Techniques in Security and Forensics, 2025
As modern-day cyber-physical systems (CPS) play a crucial role in enhancing the daily dependence on them in a smart ecosystem, the security and privacy aspects cannot be ignored. This research advocates a novel privacy approach for CPS, where the user can select the level of privacy based on their usage. It attempts to increase the degree of data utility at the user's customized usage level. As observed by all the stakeholders of a CPS, the degree of privacy and utility has a significant trade-off in determining the effectiveness of a CPS. Hence, this approach brings about a fair amount of flexibility for the users of a CPS entity. This need has motivated the design and development of a provisional privacy-preserving method, which shows appreciable results compared to current popular privacy-preservation methods in a cyber-physical system.
Application of variants of nature-inspired optimization for privacy preservation in cyber-physical systems
Manas Kumar Yogi, A. S. N. Chakravarthy
Nature Inspired Optimization Algorithms for Cyber Physical Systems, 2024
Retraction Note: Human Identification with their VOC distribution through CMS – SEN Model (Soft Computing, (2021), 25, 20, (13015-13025), 10.1007/s00500-021-06180-8)
Prathyusha Kanakam, A. S. N. Chakravarthy
Soft Computing, 2024
Retraction Note: Automatic identification of drug sensitivity of cancer cell with novel regression-based ensemble convolution neural network model (Soft Computing, (2022), 26, 11, (5399-5408), 10.1007/s00500-022-07098-5)
Sridevi Gadde, A. S. N. Charkravarthy, S. Satyanarayana, M. Murali
Soft Computing, 2024
Secure data communication in WSHN using EXP-MD5 and DHSK-ECC
Tamarapalli Anjikumar, A.S.N. Chakravarthy
Technology and Health Care, 2024
Single channel speech enhancement using time-frequency attention mechanism based nested U-net model
Anil Kumar Prathipati, A S N Chakravarthy
Engineering Research Express, 2024
Privacy Preservation in Cyber Physical Systems Using Entropy-Based Techniques
Manas Kumar Yogi, A. S. N. Chakravarthy
Internet of Things Vulnerabilities and Recovery Strategies, 2024
Novel Security Mechanism for AI Enabled Wastewater Treatment Systems
Manas Kumar Yogi, A. S. N. Chakravarthy
Springer Water, 2024
Optimal Routing with Machine Learning Classification in Delay Tolerant Networks
Ashapu Bhavani, A. Venkata Ramana, A.S.N. Chakravarthy
Proceedings of 5th International Conference on Iot Based Control Networks and Intelligent Systems Icicnis 2024, 2024
Novel and Heuristic MolDoc Scoring Procedure for Identification of Staphylococcus Aureus
International Journal of Intelligent Systems and Applications in Engineering, 2023
Fusion of Information Theoretical Models with Personalized Differential Privacy to Minimize Privacy Loss in Healthcare Cyber Physical Systems
Manas Kumar Yogi, A.S.N. Chakravarthy
Security Implementation in Internet of Medical Things, 2023
A review on machine learning based routing protocols for delay tolerant networks
Ashapu Bhavani, A. Venkata Ramana, A.S.N. Chakravarthy
Intelligent Decision Technologies, 2023
Application of novel AI mechanism for minimizing private data release in cyber-physical systems
A Roadmap for Enabling Industry 4 0 by Artificial Intelligence, 2022
NOVEL HEURISTIC HYBRID MODEL TO HANDLE AUTOMATIC PREDICTION OF CANCER DISEASE CLASSIFICATION OVER CANCER DRUG DATA SETS
Sridevi Gadde, Chakravarthy A.S.N.
Indian Journal of Computer Science and Engineering, 2022
Investigation of holistic approaches for privacy aware design of cyber-physical systems
Cyber Physical Systems Foundations and Techniques, 2022
Automatic identification of drug sensitivity of cancer cell with novel regression-based ensemble convolution neural network model
Sridevi Gadde, A. S. N. Charkravarthy, S. Satyanarayana, M. Murali
Soft Computing, 2022
Privacy preserving mechanism by application of constrained nonlinear optimization methods in cyber-physical system
Manas Kumar Yogi, A.S.N. Chakravarthy
Cyber Security and Network Security, 2022
Comparative Analysis between LSTM and GRU in Stock Price Prediction
A. Bhavani, A. Venkata Ramana, A. S. N. Chakravarthy
International Conference on Edge Computing and Applications Icecaa 2022 Proceedings, 2022
Content-Based Collaborative Filtering with Predictive error Reduction-Based CNN Using IPU Model
Chakka S. V. V. S. N. Murty, G. P. Saradhi Varma, Chakravarthy A. S. N.
International Journal of Information Security and Privacy, 2022
Retraction:Human Identification with their VOC distribution through CMS SEN Model
Prathyusha Kanakam, A. S. N. Chakravarthy
Soft Computing, 2021
Intrusion detection system for cloud forensics using bayesian fuzzy clustering and optimization based SVNN
Siva Rama Krishna Tummalapalli, A. S. N. Chakravarthy
Evolutionary Intelligence, 2021
A secure and light weight privacy preserving data aggregation algorithm for wireless sensor networks
Journal of Green Engineering, 2020
Chemical sensing through cogno-monitoring system for air quality evaluation
Kanakam Prathyusha, ASN Chakravarthy
Studies in Computational Intelligence, 2020
Emotional Intelligence through Body Temperature using Hybrid Progressive Approach
Prathyusha Kanakam, A. S. N. Chakravarthy
International Conference on Intelligent Computing and Remote Sensing Icicrs 2019 Proceedings, 2019
Cogno-Detective System for Body Odor Sensing
Prathyusha Kanakam, S Mahaboob Hussain, ASN Chakravarthy
2017 IEEE International Conference on Computational Intelligence and Computing Research Iccic 2017, 2018
Intensifying the security of information by the fusion of random substitution technique and enhanced DES
Rayi Sailaja, Ch. Rupa, A. S. N. Chakravarthy
Smart Innovation Systems and Technologies, 2018
A novel feature selection based classification model for disease severity prediction on alzheimer’s database
Journal of Advanced Research in Dynamical and Control Systems, 2018
The design of a secure three factor authentication protocol for wireless sensor networks
M. Naresh Babu, A. S. N. Chakravarthy, C. Ravindranath
2017 International Conference on Nextgen Electronic Technologies Silicon to Software Icnets2 2017, 2017
Revamping SQL queries for cost based optimization
Vamsi Krishna Myalapalli, A S N Chakravarthy
2016 International Conference on Circuits Controls Communications and Computing I4c 2016, 2017
Analysis and bypassing of pattern lock in android smartphone
V. Venkateswara Rao, A. S. N. Chakravarthy
2016 IEEE International Conference on Computational Intelligence and Computing Research Iccic 2016, 2017
A cognitive perceptive framework with gait recognition technology
Kanakam Prathyusha, S Mahaboob Hussain, A. S. N. Chakravarthy
Proceedings on 2016 2nd International Conference on Next Generation Computing Technologies Ngct 2016, 2017
Robust and indiscernible multimedia watermarking using light weight mutational methodology
Rayi SAILAJA, Ch RUPA, A.S.N CHAKRAVARTHY
Traitement Du Signal, 2017
Utilization of sc-fdma and ofdma based uplink and downlink resources in lte-a network assisted device to device communication for effective spectrum management
Arpn Journal of Engineering and Applied Sciences, 2017
A robust authenticated privacy-preserving attribute matchmaking protocol for mobile social networks
M. M. Naresh Babu, A. S. N. Chakravarthy, C. Ravindranath, Chandra Sekhar Vorugunti
Advances in Intelligent Systems and Computing, 2017
Accelerating SQL queries by unravelling performance bottlenecks in DBMS engine
Vamsi Krishna Myalapalli, ASN Chakravarthy, Keesari Prathap Reddy
International Conference on Energy Systems and Applications Icesa 2015, 2016
Variable modulation schemes for AWGN channel based device to device communication
A. Rama Krishna, A. S. N. Chakravarthy, A. S. C. S. Sastry
Indian Journal of Science and Technology, 2016
Electronic noses: Forestalling fire disasters: A technique to prevent false fire alarms and fatal casualties
Prathyusha Kanakam, S Mahaboob Hussain, A. S. N. Chakravarthy
2015 IEEE International Conference on Computational Intelligence and Computing Research Iccic 2015, 2016
Optical character recognition technique algorithms
Journal of Theoretical and Applied Information Technology, 2016
Forensic analysis of android mobile devices
V. Venkateswara Rao, A.S.N Chakravarthy
2016 International Conference on Recent Advances and Innovations in Engineering Icraie 2016, 2016
A hybrid cryptographic system for secured device to device communication
A. Rama Krishna, A. S. N. Chakravarthy, A. S. C. S. Sastry
International Journal of Electrical and Computer Engineering, 2016
Performance evaluation of quantitative metrics on ancient text documents using migt
Journal of Theoretical and Applied Information Technology, 2015
Analysis of canonical character segmentation technique for ancient Telugu text documents
Journal of Theoretical and Applied Information Technology, 2015
A unified model for cherishing privacy in database system: An approach to overhaul vulnerabilities
Vamsi Krishna Myalapalli, A.S.N. Chakravarthy
1st International Conference on Networks and Soft Computing Icnsc 2014 Proceedings, 2014
Password authentication using context-sensitive associative memory neural networks: A novel approach
P. E. S. N. Krishna Prasad, B. D. C. N. Prasad, A. S. N. Chakravarthy, P. S. Avadhani
Lecture Notes of the Institute for Computer Sciences Social Informatics and Telecommunications Engineering Lnicst, 2012

RECENT SCHOLAR PUBLICATIONS

A hybrid lightweight feature extraction assisted ensemble approach for intrusion detection with ESMOTE-based class imbalance handling in IoT networks
T Ammannamma, ASN Chakravarthy
Computers and Electrical Engineering 130, 110846 , 2026
2026
Citations: 1
Enhancing privacy and security in Federated learning protecting electronic health records data from adversarial attacks
BL Rajeswari, ASN Chakravarthy
Informatics for Health and Social Care, 1-18 , 2026
2026
Adaptive attention transformer mechanism with CED model for end to end real-time single channel speech enhancement
AK Prathipati, ASN Chakravarthy
Engineering Research Express 8 (2), 025203 , 2026
2026
An energy-efficient based secure IOT data transfer with hashed data access policy using ACROT-DHSKECC and LSCRC32
T Anjikumar, ASN Chakravarthy
Journal of Telecommunications and the Digital Economy 13 (3), 145-174 , 2025
2025
Citations: 1
Privacy-preserving deep reinforcement learning for secure resource orchestration in cyber-physical systems
MK Yogi, ASN Chakravarthy
International Journal of Scientific Research in Network Security and … , 2025
2025
Citations: 7
A Customised Privacy Preservation Mechanism for Cyber‐Physical Systems
MK Yogi, ASN Chakravarthy
Securing the Digital Frontier: Threats and Advanced Techniques in Security … , 2025
2025
A bio-inspired optimal feature with convolutional GhostNet based squeeze excited deep-scale capsule network for intrusion detection
T Ammannamma, ASN Chakravarthy
Computers & Security 150, 104221 , 2025
2025
Citations: 14
A novel user centric privacy mechanism in cyber physical system
MK Yogi, ASN Chakravarthy
Computers & security 149, 104163 , 2025
2025
Citations: 9
Application of Variants of Nature-Inspired Optimization for Privacy Preservation in Cyber-Physical Systems
MK Yogi, ASN Chakravarthy
Nature-Inspired Optimization Algorithms for Cyber-Physical Systems, 283-312 , 2025
2025
Citations: 3
Retraction Note: Human identification with their VOC distribution through CMS–SEN Model
P Kanakam, ASN Chakravarthy
Soft Computing 28 (Suppl 2), 967-967 , 2024
2024
Secure data communication in WSHN using EXP-MD5 and DHSK-ECC
T Anjikumar, ASN Chakravarthy
Technology and Health Care 32 (6), 5081-5103 , 2024
2024
Citations: 3
Single channel speech enhancement using time-frequency attention mechanism based nested U-net model
AK Prathipati, ASN Chakravarthy
Engineering Research Express 6 (3), 035206 , 2024
2024
Citations: 1
Novel security mechanism for ai enabled wastewater treatment systems
MK Yogi, ASN Chakravarthy
The AI Cleanse: Transforming Wastewater Treatment Through Artificial … , 2024
2024
Citations: 7
Privacy preservation in cyber physical systems using entropy-based techniques
MK Yogi, ASN Chakravarthy
Internet of Things Vulnerabilities and Recovery Strategies, 48-58 , 2024
2024
Citations: 2
Cyber security education: Enhancing cyber security capabilities, navigating trends and challenges in a dynamic landscape
SM Hussain, SRK Tummalapalli, ASN Chakravarthy
Advances in cyber security and digital forensics 3, 9-33 , 2024
2024
Citations: 15
MANAS KUMAR YOGI¹ AND
ASN CHAKRAVARTHY
Security Implementation in Internet of Medical Things, 177 , 2023
2023
Fusion of Information Theoretical Models with Personalized Differential Privacy to Minimize Privacy Loss in Healthcare Cyber Physical Systems
MK Yogi, ASN Chakravarthy
Security Implementation in Internet of Medical Things, 177-190 , 2023
2023
Privacy Preserving Mechanism using No-regret learning in Cyber-Physical Systems
MK Yogi, ASN Chakravarthy
2023
Algorithms
W Rao
2023
Citations: 6
Application of Novel AI Mechanism for Minimizing Private Data Release in Cyber‐Physical Systems
MK Yogi, ASN Chakravarthy
A Roadmap for Enabling Industry 4.0 by Artificial Intelligence, 127-139 , 2022
2022
Citations: 1

MOST CITED SCHOLAR PUBLICATIONS

OPTICAL CHARACTER RECOGNITION TECHNIQUE ALGORITHMS.
NV Rao, A Sastry, ASN Chakravarthy, P Kalyanchakravarthi
Journal of Theoretical & Applied Information Technology 83 (2) , 2016
2016
Citations: 104
Forensic analysis of android mobile devices
VV Rao, ASN Chakravarthy
2016 International Conference on Recent Advances and Innovations in … , 2016
2016
Citations: 32
Survey on android forensic tools and methodologies
V Rao, ASN Chakravarthy
International Journal of Computer Applications 154 (8), 17-21 , 2016
2016
Citations: 28
Intrusion detection system for cloud forensics using bayesian fuzzy clustering and optimization based SVNN
SRK Tummalapalli, ASN Chakravarthy
Evolutionary Intelligence 14 (2), 699-709 , 2021
2021
Citations: 22
Electronic noses: Forestalling fire disasters: A technique to prevent false fire alarms and fatal casualties
P Kanakam, SM Hussain, ASN Chakravarthy
2015 IEEE International Conference on Computational Intelligence and … , 2015
2015
Citations: 22
Palm vein biometric technology: An approach to upgrade security in ATM transactions
BV Prasanthi, SM Hussain, P Kanakam, AS Chakravarthy
International Journal of Computer Applications 112 (9), 1-5 , 2015
2015
Citations: 21
Cyber security education: Enhancing cyber security capabilities, navigating trends and challenges in a dynamic landscape
SM Hussain, SRK Tummalapalli, ASN Chakravarthy
Advances in cyber security and digital forensics 3, 9-33 , 2024
2024
Citations: 15
Analysis and bypassing of pattern lock in android smartphone
VV Rao, ASN Chakravarthy
2016 IEEE International Conference on Computational Intelligence and … , 2016
2016
Citations: 15
A bio-inspired optimal feature with convolutional GhostNet based squeeze excited deep-scale capsule network for intrusion detection
T Ammannamma, ASN Chakravarthy
Computers & Security 150, 104221 , 2025
2025
Citations: 14
A hybrid cryptographic system for secured device to device communication
AR Krishna, ASN Chakravarthy, A Sastry
International Journal of Electrical and Computer Engineering (IJECE) 6 (6 … , 2016
2016
Citations: 14
Accelerating SQL queries by unravelling performance bottlenecks in DBMS engine
VK Myalapalli, ASN Chakravarthy, KP Reddy
2015 International Conference on Energy Systems and Applications, 7-12 , 2015
2015
Citations: 14
Robust and indiscernible multimedia watermarking using light weight mutational methodology.
R Sailaja, C Rupa, AS Chakravarthy
Traitement du signal 34 (1/2), 45 , 2017
2017
Citations: 10
Handwritten text image authentication using back propagation
ASN Chakravarthy, PVK Raja, PS Avadhani
arXiv preprint arXiv:1110.1488 , 2011
2011
Citations: 10
A novel user centric privacy mechanism in cyber physical system
MK Yogi, ASN Chakravarthy
Computers & security 149, 104163 , 2025
2025
Citations: 9
BSC: A Novel Scheme for Providing Security using Biometric Smart Card
SM Hussain, ASN Chakravarthy, GS Sarma
International Journal of Computer Applications 80 (1) , 2013
2013
Citations: 9
Revamping SQL queries for cost based optimization
VK Myalapalli, ASN Chakravarthy
2016 International Conference on Circuits, Controls, Communications and … , 2016
2016
Citations: 8
Variable modulation schemes for AWGN channel based device to device communication
AR Krishna, ASN Chakravarthy, A Sastry
Indian Journal of Science and Technology 9, 20 , 2016
2016
Citations: 8
Privacy-preserving deep reinforcement learning for secure resource orchestration in cyber-physical systems
MK Yogi, ASN Chakravarthy
International Journal of Scientific Research in Network Security and … , 2025
2025
Citations: 7
Novel security mechanism for ai enabled wastewater treatment systems
MK Yogi, ASN Chakravarthy
The AI Cleanse: Transforming Wastewater Treatment Through Artificial … , 2024
2024
Citations: 7
Algorithms
W Rao
2023
Citations: 6

A S N CHAKRAVARTHY

EDUCATION

RESEARCH, TEACHING, or OTHER INTERESTS

Scopus Publications

RECENT SCHOLAR PUBLICATIONS

MOST CITED SCHOLAR PUBLICATIONS