Sathyanarayana S V

@jnnce.ac.in

Professor & HoD, Electronics & Communication Engineering
Jawaharlal Nehru New College of Engineering

Sathyanarayana S V


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Dr. S. V. Sathyanarayana
Professor & HoD, Dept. of E & C
Dean – R & D
JNN College of Engg.,
SHIVAMOGGA

• BE in E & C from Mysore University in 1993 & M.E. from Bangalore University in 1999
• Ph. D in the area of Elliptic Curve Cryptography from Manipal University in 2010
• Teaching Experience : 30 Years
• Senior Member, IEEE
• Member, Execom, IEEE MSS – 2021 & 2022
• Secretary, IEEE MSS – 2023
• Chair-Elect, IEEE MSS – 2024
• Chair, IEEE MSS – 2025
• Vice Chair – Technical Activities – IEEE Bangalore Section - 2026
• Member, Execom, IEEE ComSoc, Bangalore Section, 2022-23 & 2023 - 24
• Member of Cryptology Research Society of India, Kolkatta
• Member of Association of Computer Electrical & Electronics Engineers, Trivendrum
• Fellow of Institution of Electrical & Electronics Engineers, New Delhi
• Life Member ISTE, New Delhi
• Served as Member of Board of Examiners and Board of studies to reputed Universities
• Delivered keynote lectures in various National and Internatio

EDUCATION

M.E., Ph.D

RESEARCH, TEACHING, or OTHER INTERESTS

Electrical and Electronic Engineering, Media Technology, Multidisciplinary, Biomedical Engineering
22

Scopus Publications

482

Scholar Citations

11

Scholar h-index

12

Scholar i10-index

Scopus Publications

  • Message from the Chairs
    Proceedings of 2025 International Conference on Intelligent Systems and Pioneering Innovations in Robotics and Electric Mobility Transforming Mobility and Automation Through Intelligent Engineering Inspire 2025, 2025
  • Brain Controlled Robotic Car Using Mind Wave
    Shwetha B, Sathyanarayana S V, Yuvaraj K E, Sujith S, Sahana M Soppin, Sujal G Chinchnekar
    2024 4th International Conference on Multimedia Processing Communication and Information Technology Mpcit 2024 Proceedings, 2025
    In this paper, Mind Wave technology based brain-controlled robotic car is implemented. The objective is to create an innovative human machine interface, enabling users to control the cars movements seamlessly through their brain signals and facial movement. The Mind Wave headset, equipped with EEG sensors, captures and interprets the users brainwave pattern, translating them into specific commands for the robotic car. The system integrates real time signal processing algorithms to extract relevant features from the EEG data, mapping them to predefined control commands for the robotic car. A comprehension control architecture is established to facilitate smooth navigation, including forward, backward, left, and right movements Additionally, advanced features such as speed modulation and obstacle avoidance are implemented to enhance the user experience and ensure safety. Furthermore, the work explores the challenges and limitations of the proposed brain-controlled robotic car system, addressing issues related to signal noise,user training,and the adaptability of the technology.Future directions for improvement and expansion of the system are discussed, aiming to refine the interface, increase responsiveness, and broken the range of supported commands.
  • Superpixel Segmentation using Symmetric Kernel Function and it's Application in Image Forgery Detection
    B Shwetha, S V Sathyanarayana
    Proceedings of Conecct 2023 9th International Conference on Electronics Computing and Communication Technologies, 2023
    Superpixel segmentation plays an important role in the area of computer vision. In this paper, we present a symmetric kernel function based algorithm to produce Superpixel segmentation of an image. The proposed method adopts $L_{1}$ norm for similarity measure in objective function of normalized cuts. The weighted k-means clustering function is minimized by the kernel function property defined over the weight and mapping function in optimized objective function. The positivity condition achieved in the weighted function and mapping function has formed a way for the application of kernel trick to obtain clusters. It is observed that the optimum points of both normalized cuts and weighted k-means are same. The proposed method achieves reduced computational complexity as it adopts kernel function for computation of weights and mapping function required for minimizing objective function, where as the traditional methods which compute Eigen values results in high complexity. The experimental results show that the boundary adherence and compactness of the proposed method is better when compared with the existing techniques. The proposed method is further applied to detect copy move forgery in digital images for performance evaluation.
  • Key Sequences based on Cyclic Elliptic Curves over GF(28) with Logistic Map for Cryptographic Applications
    Sheela Siddaramanna, Sathyanarayana Sarapady Venkatramanayya
    Concurrency and Computation Practice and Experience, 2022
    The chaotic functions and cyclic elliptic curves (CEC) has attracted many researchers, especially cryptographers, since decades. As CEC and chaotic functions meet the requirements of the cryptography, they are widely used either in key sequence generation or encryption/decryption process. Since in symmetric key encryption, stream ciphers need a large key sequence to encrypt/decrypt the information, authors propose a hybrid model to generate pseudo random sequence using CEC and logistic map. The hybrid model is developed using CEC points over and an one‐dimensional logistic map. In the proposed system, binary chaotic sequence and CEC points are given to AES S‐box to get two random sequences separately. Byte wise parity is computed for both the sequences. Based on the parity of both the bytes, one of the byte is left shifted and the other is right shifted by two positions in a circular manner. Later, both the bytes are combined using the XOR operation to get the random binary sequence. The generated sequences are analysed for randomness using various test suites like NIST, Correlation, FIPS, and TestU01. It has been observed that all the sequences pass the randomness tests. Using additive stream cipher, image encryption is implemented by considering the generated sequence as key sequence. The performance evaluation and security analysis of the encryption process is conducted. The results obtained for the proposed system indicate that the system is robust to withstand many cryptanalytic attacks.
  • Generation of chaotic random binary sequences for cryptographic applications
    Sheela S., Sathyanarayana S. V.
    Concurrency and Computation Practice and Experience, 2022
    In stream cipher systems, random key sequence generation is the primary task. The concept of chaotic systems can be considered in generating a random key sequence due to its inherent randomness property. Though the chaotic real sequences are random, the randomness will be lost after converting them to binary sequences. In this context, the authors propose a technique which uses a non‐linear feedback system to enhance the randomness of the binary sequences. In this work, three binary chaotic sequences using a logistic map are generated with three different initial conditions and each real value of the chaotic sequence is converted to ‘k’ bit binary value using a thresholding function. Some of the resulting sequences are not random. Hence, in this article a non‐linear structure is used to make the resulting sequence random. Here, a non‐linear function similar to the structure of the Simplified Data Encryption Standard is used to generate a sequence using two non‐random chaotic binary sequences. The resulting sequence is XORed with another non‐random chaotic binary sequence to get a random sequence. Sequences obtained from this nonlinear system are subjected to randomness tests and the results indicate that the sequences pass all the randomness tests. Hence, the sequences qualify as random key sequences, which can be used in a stream cipher based system to encrypt the data samples like audio, image, video, and so forth.
  • Generation of Pseudo-Random Binary Sequence Based on Cipher Feedback Chaotic System for Cryptographic Applications
    S. Sheela, S. V. Sathyanarayana
    Lecture Notes on Data Engineering and Communications Technologies, 2021
  • Generation of Pseudo Random Sequences based on Chaotic Cubic Map and Cyclic Elliptic Curves over GF (28) for Cryptographic Applications
    S Sheela, S V Sathyanarayana
    Mpcit 2020 Proceedings IEEE 3rd International Conference on Multimedia Processing Communication and Information Technology, 2020
    Cyclic elliptic curves (CEC) and chaotic sequences are used for cryptographic application from many decades. In this paper, authors propose a hybrid model to generate pseudo random key sequences for symmetric ciphers. Hybrid model is developed using CEC points over GF (2 <sup xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">8</sup> ) and a one-dimensional cubic map. In the proposed system first, binary chaotic sequence and CEC points are given to AES SBOX to get two random sequences separately. Byte wise parity is computed for both the sequences. Based on the parity the sequences are either left or right circular shifted by a byte and two sequences are combined using the XOR operation to get the random binary sequence. The randomness of the generated sequences is analysed using various randomness test suites like NIST SP 800-22 Rev.1a and Correlation. It has been observed that all the sequences pass the randomness tests. These sequences are used to encrypt an image using additive stream cipher algorithm. The security analysis of the cipher image is conducted. The results obtained for the proposed system indicates that it is secure against cryptographic attacks.
  • Key Management Using Elliptic Curve Diffie Hellman Curve 25519
    R Mohan Naik, SV Sathyanarayana, TK Sowmya
    Mpcit 2020 Proceedings IEEE 3rd International Conference on Multimedia Processing Communication and Information Technology, 2020
    Key management shows an important role in the information transmissions. This paper analyzes the more improved and cost-effective key management scheme with respect to transmission overhead, computation cost. A key management policy is effectually employed for the purpose of generating a distinctive convention key for ample members to promise the security of their prospect communications, and this agreement can be allied in cloud computing for the purpose of assisting protected and skilled data distribution. The Key exchange protocols provides the two or more members to decide on a shared secret key and later be able to used for encrypting a long message. The complexity of Discrete Logarithm Problem (DLP) as basic problem considered in Diffie-Hellman Key Exchange Protocol. The Elliptic curve Diffie-Helman (ECDH) is considered as an expansion to the standard Diffie-Hellman. The ECDH function is ideal for a wide range of cryptographic functions. Key management based on ECDH provides much security on key meanwhile having more amount of storage cost and execution time involving in this. The ECDH Curve 25519 makes much faster in execution and lesser storage cost due its structure which uses much higher prime group of the order 2 <sup xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">252</sup> .
  • Elliptic curve based collaborative group key management for cloud data sharing in ciphertext policy attribute based encryption
    R Naik, S Sathyanarayana, T Sowmya, Mohan Naik, R, et al.
    International Journal of Engineering and Advanced Technology, 2019
    Ciphertext policy attribute based encryption (CPABE) is one of cryptographic procedure that coordinates data information encryption with authenticated admission management for guaranteeing data information security in Cloud. The cloud computing where the application administrations using the Internet. In numerous applications, especially in Group Communication in cloud data information offering to various clients data information proprietors require to conceal undisclosed data information like encryption key. The effective key management system conventions are essential for giving security to this data information. Since, it is extremely difficult to provide security to group's secret data information particularly with various mechanisms of assurance. The effectiveness issue of CP-ABE is as yet accessible that corrupt the computation overhead on the grounds that bilinear pairing is exorbitant in such huge numbers of utilizations of ABE, so by supplanting the bilinear pairing utilized in the attribute coordinating with straightforward scalar multiplication on Elliptic Curves, accordingly diminishing the general computation just as communication overhead. And plan another key dispersion can considered in order to legitimately renounce a client or a characteristic without refreshing the other clients' keys during the property repudiation phase. By utilizing the Shamir's Threshold secret sharing designs access structure to develop the expressiveness of the entrance arrangement. Security and execution examination demonstrate that in this plan improving the general effectiveness just as guarantee the security of the cloud data information
  • Group diffie hellman key exchange algorithm based secure group communication
    S V Sathyanarayana, R Lavanya
    Proceedings of the 2017 3rd International Conference on Applied and Theoretical Computing and Communication Technology Icatcct 2017, 2018
    With the rapid development in the field of internet, most of the communication takes place through insecure network. Rather than one to one communication, group communication incur significant utilization of the bandwidth. Security of an information can be achieved by the process of encryption and decryption of data with the secret group key. Security also depends on the efficient management of the group secret key. The proposed algorithm for group secret key generation is based on the Diffie-Hellman Key Exchange algorithm. In group communication, the user may join or leave the group at any time. In order to achieve security requirements like confidentiality, authentication, integrity, forward secrecy and backward secrecy, the group key must be updated immediately after the membership change. In this regard algorithms are described for initial group setup, group member withdrawal and group member inclusion. The generated group secret key is used in the symmetric encryption and decryption of an image. Symmetric encryption methods like Advanced Encryption Standard (AES) and Cipher Feedback mode (CFB) algorithms are used for encryption and decryption of an image. The performance analysis of the secret key in an image encryption/decryption is obtained by comparing the results of entropy, correlation coefficient and histogram band of an original image with an encrypted image. It is observed that, from the value of entropy, correlation coefficient and histogram band, that an encrypted image does not contain any residual information. So that it is very difficult for the unauthorized recipient to appreciate the data transmitted.
  • A game-theoretic approach for combating node compromise attack in Wireless Sensor Network
    C S Poojashri, E. Sandeep Kumar, S V Sathyanarayana
    International Conference on Communication and Signal Processing Iccsp 2016, 2016
  • Kannada Named Entity Recognition and Classification using conditional Random Fields
    S Amarappa, S V Sathyanarayana
    2015 International Conference on Emerging Research in Electronics Computer Science and Technology Icerect 2015, 2016
  • Image classifier based digital image forensic detection - A review and simulations
    Vijayalakshmi V S, Shwetha B, S V Sathyanarayana
    2015 International Conference on Emerging Research in Electronics Computer Science and Technology Icerect 2015, 2016
  • A comparative analysis of Secret Sharing Schemes with special reference to e-commerce applications
    Shalini I S, Mohan Naik R, S V Sathyanarayana
    2015 International Conference on Emerging Research in Electronics Computer Science and Technology Icerect 2015, 2016
  • Symmetric key image encryption scheme with key sequences derived from random sequence of cyclic elliptic curve points over GF(p)
    S Sowmya, S. V. Sathyanarayana
    Proceedings of 2014 International Conference on Contemporary Computing and Informatics Ic3i 2014, 2014
  • A steganographic system for embedding image and encrypted text
    B G Priyanka, S. V. Sathyanarayana
    Proceedings of 2014 International Conference on Contemporary Computing and Informatics Ic3i 2014, 2014
  • Image encryption scheme with key sequences based on Chaotic functions
    K. M. Shruthi, S. Sheela, S. V. Sathyanarayana
    Proceedings of 2014 International Conference on Contemporary Computing and Informatics Ic3i 2014, 2014
  • Visual cryptography for color images with meaningful shares using image fusion technique
    S. B. Prashanth, S. V. Sathyanarayana
    Lecture Notes in Electrical Engineering, 2013
  • Novel scheme for storage and transmission of medical images with patient information using elliptic curve based image encryption schemes with LSB based steganographic technique
    S. V. Sathyanarayana, K. N. Hari Bhat
    Journal of Medical Imaging and Health Informatics, 2012
  • Symmetric key image encryption scheme with key sequences derived from random sequence of cyclic elliptic curve points
    International Journal of Network Security, 2011
  • Random binary and non-binary sequences derived from random sequence of points on cyclic elliptic curve over finite field GF(2m) and their properties
    S. V. Sathyanarayana, M. Aswatha Kumar, K. N. Hari Bhat
    Information Security Journal, 2010
  • Generation of pseudorandom sequence over elliptic curve group and their properties
    S. V. Sathyanarayana, M. Aswatha Kumar, K. N. Hari Bhat
    Journal of Discrete Mathematical Sciences and Cryptography, 2007

RECENT SCHOLAR PUBLICATIONS

  • Carbon Footprint Minimization in 5G Networks Using Blockchain Integrated Renewable Energy Management Framework
    M DSouza, BL Sreenivasa, S Sathyanarayana, RP Landage, G Sajiv, ...
    2025 IEEE Pune Section International Conference (PuneCon), 1-5 , 2025
    2025
  • Brain Controlled Robotic Car Using Mind Wave
    B Shwetha, SV Sathyanarayana, KE Yuvaraj, S Sujith, MS Sahana, ...
    2024 Fourth International Conference on Multimedia Processing, Communication … , 2024
    2024
  • Optimized Virtual Machine Scheduling for Green Cloud Computing Using MLP-LSTM with Sheep Flock Optimization
    M D'Souza, BL Sreenivasa, D Nagalavi, SA Khan, S Sathyanarayana, ...
    2024 International Conference on Communication, Control, and Intelligent … , 2024
    2024
    Citations: 4
  • Superpixel Segmentation using Symmetric Kernel Function and it’s Application in Image Forgery Detection
    B Shwetha, SV Sathyanarayana
    2023 IEEE International Conference on Electronics, Computing and … , 2023
    2023
    Citations: 4
  • Key Sequences based on Cyclic Elliptic Curves over GF (2 8 ) with Logistic Map for Cryptographic Applications
    S Siddaramanna, S Sarapady Venkatramanayya
    Concurrency and Computation: Practice and Experience 34 (11), e6849 , 2022
    2022
    Citations: 1
  • Generation of chaotic random binary sequences for cryptographic applications
    S Sheela, SV Sathyanarayana
    CONCURRENCY AND COMPUTATION-PRACTICE & EXPERIENCE 34 (1) , 2022
    2022
    Citations: 2
  • Application of Super pixels Segmentation in Digital Image forgery Detection
    B Shwetha, SV Sathyanarayana
    JNNCE J. Eng. Manag , 2022
    2022
    Citations: 1
  • Generation of Pseudo-Random Binary Sequence Based on Cipher Feedback Chaotic System for Cryptographic Applications
    S Sheela, SV Sathyanarayana
    Data Engineering and Communication Technology: Proceedings of ICDECT 2020 … , 2021
    2021
  • Chaotic System for Cryptographic Applications
    S Sheela, SV Sathyanarayana
    Data Engineering and Communication Technology: Proceedings of ICDECT 2020, 427 , 2021
    2021
  • Dynamic Power Factor Maximization Based Efficient Scheduling for Improved Quality of Service in Cloud Environment
    M D'Souza, S Sathyanarayana
    Journal of Computational and Theoretical Nanoscience 18 (3), 984-990 , 2021
    2021
  • Generation of Pseudo Random Sequences based on Chaotic Cubic Map and Cyclic Elliptic Curves over GF (2 8 ) for Cryptographic Applications
    S Sheela, SV Sathyanarayana
    2020 Third International Conference on Multimedia Processing, Communication … , 2020
    2020
  • Key management using elliptic curve diffie hellman curve 25519
    RM Naik, SV Sathyanarayana, TK Sowmya
    2020 Third International Conference on Multimedia Processing, Communication … , 2020
    2020
    Citations: 16
  • Comparative Analysis of Key Management Methods for Online Data Sharing in Cloud
    SV Sathyanarayana
    JNNCE Journal of Engineering & Management (JJEM) 3 (2), 23 , 2019
    2019
  • Image forgery detection using adaptive oversegmentation and feature point matching
    HR Arpita, B Shwetha, SV Sathyanarayana
    JNNCE Journal of Engineering & Management (JJEM) 3 (1), 72 , 2019
    2019
    Citations: 3
  • Block-Chain Platform for Internet of Things: An Application Oriented Approach
    AG Chandini, P Ganesan, S SV, P GK
    JNNCE Journal of Engineering & Management (JJEM) 1 (2), 8 , 2017
    2017
  • Group Diffie Hellman key exchange algorithm based secure group communication
    SV Sathyanarayana, R Lavanya
    2017 3rd International Conference on Applied and Theoretical Computing and … , 2017
    2017
    Citations: 4
  • Efficient and Reliable Authenticated Group Diffie Hellman Key Exchange for Secure Group Communication
    R Lavanya, SV Sathyanarayana
    JNNCE Journal of Engineering & Management (JJEM) 1 (1), 54 , 2017
    2017
  • Kannada Named Entity Recognition and Classification using Support Vector Machine
    S Amarappa, SV Sathyanarayana
    Transactions on Machine Learning and Artificial Intelligence 5 (1), 43 , 2017
    2017
    Citations: 6
  • Kannada Speech Recognition Using MFCC and KNN Classifier for Banking Applications
    SB Harisha, S Amarappa, SV Sathyanarayana
    International Journal of Innovative Research in Computer and Communication … , 2017
    2017
    Citations: 5
  • Digital image forgery detection techniques: a survey
    B Shwetha, SV Sathyanarayana
    ACCENTS Transactions on Information Security 2 (5), 22-31 , 2017
    2017
    Citations: 28

MOST CITED SCHOLAR PUBLICATIONS

  • Data Classification using Support Vector Machine(SVM), a simplified Approach
    DSVS S. Amarappa
    International Journal of Electronics and Computer Science Engineering(IJECSE … , 2014
    2014
    Citations: 150
  • Symmetric Key Image Encryption Scheme with Key Sequences Derived from Random Sequence of Cyclic Elliptic Curve Points.
    SV Sathyanarayana, MA Kumar, KNH Bhat
    Int. J. Netw. Secur. 12 (3), 137-150 , 2011
    2011
    Citations: 54
  • Kannada Named Entity Recognition and Classification (NERC) Based on Multinomial Naïve Bayes (MNB) Classifier
    DSVS S .Amarappa
    International Journal on Natural Language Computing (IJNLC) DOI: 10.5121 … , 2015
    2015
    Citations: 38
  • Named Entity Recognition and Classification in Kannada Language
    DSVS S. Amarappa
    International Journal of Electronics and Computer Science Engineering, ISSN … , 2013
    2013
    Citations: 32
  • Digital image forgery detection techniques: a survey
    B Shwetha, SV Sathyanarayana
    ACCENTS Transactions on Information Security 2 (5), 22-31 , 2017
    2017
    Citations: 28
  • Application of chaos theory in data security-a survey
    S Sheela, SV Sathyanarayana
    ACCENTS Transactions on Information Security 2 (5) , 2017
    2017
    Citations: 25
  • Symmetric key image encryption scheme with key sequences derived from random sequence of cyclic elliptic curve points over GF (p)
    S Sowmya, SV Sathyanarayana
    2014 International Conference on Contemporary Computing and Informatics … , 2014
    2014
    Citations: 20
  • Key management using elliptic curve diffie hellman curve 25519
    RM Naik, SV Sathyanarayana, TK Sowmya
    2020 Third International Conference on Multimedia Processing, Communication … , 2020
    2020
    Citations: 16
  • Random binary and non-binary sequences derived from random sequence of points on cyclic elliptic curve over finite field GF (2 m) and their properties
    SV Sathyanarayana, M Aswatha Kumar, KN Hari Bhat
    Information Security Journal: A Global Perspective 19 (2), 84-94 , 2010
    2010
    Citations: 15
  • Kannada named entity recognition and classification using conditional random fields
    S Amarappa, SV Sathyanarayana
    2015 International Conference on Emerging Research in Electronics, Computer … , 2015
    2015
    Citations: 11
  • A Hybrid approach for Named Entity Recognition, Classification and Extraction (NERCE) in Kannada Documents
    DSVS S. Amarappa
    Proceedings of International Conference on “Multimedia Processing … , 2013
    2013
    Citations: 11
  • Key management infrastructure in cloud computing environment-a survey
    MR Naik, SV Sathyanarayana
    ACCENTS Transactions on Information Security 2 (7), 52-61 , 2017
    2017
    Citations: 10
  • Automatic speech recognition-a literature survey on indian languages and ground work for isolated kannada digit recognition using MFCC and ANN
    SB Harisha, S Amarappa, DS Sathyanarayana
    International Journal of Electronics and Computer Science Engineering 4 (1 … , 2015
    2015
    Citations: 7
  • Kannada Named Entity Recognition and Classification using Support Vector Machine
    S Amarappa, SV Sathyanarayana
    Transactions on Machine Learning and Artificial Intelligence 5 (1), 43 , 2017
    2017
    Citations: 6
  • A steganographic system for embedding image and encrypted text
    BG Priyanka, SV Sathyanarayana
    2014 international conference on contemporary computing and informatics … , 2014
    2014
    Citations: 6
  • Novel scheme for storage and transmission of medical images with patient information using elliptic curve based image encryption schemes with lsb based steganographic technique
    SV Sathyanarayana, KN Bhat
    Journal of Medical Imaging and Health Informatics 2 (1), 15-24 , 2012
    2012
    Citations: 6
  • Kannada Speech Recognition Using MFCC and KNN Classifier for Banking Applications
    SB Harisha, S Amarappa, SV Sathyanarayana
    International Journal of Innovative Research in Computer and Communication … , 2017
    2017
    Citations: 5
  • Image classifier based digital image forensic detection-a review and simulations
    VS Vijayalakshmi, B Shwetha, S SV
    2015 International Conference on Emerging Research in Electronics, Computer … , 2015
    2015
    Citations: 5
  • Image encryption scheme with key sequences based on chaotic functions
    KM Shruthi, S Sheela, SV Sathyanarayana
    2014 International Conference on Contemporary Computing and Informatics … , 2014
    2014
    Citations: 5
  • Optimized Virtual Machine Scheduling for Green Cloud Computing Using MLP-LSTM with Sheep Flock Optimization
    M D'Souza, BL Sreenivasa, D Nagalavi, SA Khan, S Sathyanarayana, ...
    2024 International Conference on Communication, Control, and Intelligent … , 2024
    2024
    Citations: 4