Dr Solleti Ramana

@bhavansvc.ac.in

Assistant Professor and Computer Science Department. Controller of Examinations, Examination Branch.
Bhavan's Vivekananda College of Science, Humanities and Commerce

Dr Solleti Ramana


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https://researchid.co/ramana_solleti

RESEARCH, TEACHING, or OTHER INTERESTS

Computer Science, Computer Networks and Communications, Information Systems, Artificial Intelligence
9

Scopus Publications

391

Scholar Citations

11

Scholar h-index

11

Scholar i10-index

Scopus Publications

  • Dual-path feature extraction based hybrid intrusion detection in IoT networks
    Arun Kumar Silivery, Kovvur Ram Mohan Rao, Ramana Solleti
    Computers and Electrical Engineering, 2025
  • Leaf Disease prediction using CNN
    Ramana S, Karthik Raj E, Kavipriyan R K, Madhucheran R
    2025 4th Opju International Technology Conference on Smart Computing for Innovation and Advancement in Industry 5 0 Otcon 2025, 2025
    This paper addresses the design and construction of a Convolutional Neural Network (CNN) for image classification with specific reference to apple leaf disease identification. The architecture of the model consists of a number of convolutional, max-pooling, and dense layers and is trained using an Adam optimizer with an exponential learning rate decay. To make the training dataset more diverse and reduce the chances of overfitting, other techniques in addition to rotation and zooming, horizontal flipping were also applied. The dataset was split into training, validation and testing datasets in the ratio of 80-10-10 so as to have a fair evaluation of the model. It is important to note that the loss functions curves achieved a stable convergence during the training which suggested that learning was effective. The classification performance of the model was assessed using precision, recall and F1 score which shows that it can successfully classify images of apple leaf diseases. The findings of this study point to the effectiveness of CNN in addressing issues in agriculture providing an effective model to automate the process of disease diagnosis in apples.
  • Image-Based Breast Cancer Diagnosis Leveraging Convolutional Neural Networks
    S. Ramana, Ramana Murthy, N. Bhaskar, T. Santhosh
    Proceedings of the 4th International Conference on Ubiquitous Computing and Intelligent Information Systems Icuis 2024, 2024
    The most frequent and most rapidly expanding disease in the world is breast cancer. A wide range of instances of breast cancer involve women. Breast cancer can be effectively managed with early detection. Several instances have been solved using early research, significantly reducing their fatality rate. Several studies have been performed concerning breast cancer. Machine learning is the most frequently used research method. The study examines a recommended approach that employs various developments in convolutional neural networks (CNNs) to detect breast cancer, in addition to additionally examining the results using machine learning (ML) methods. Increasingly specific and accurate models for the identification and treatment of this disease have been developed and generated, possibly through developments in machine learning and artificial intelligence methodologies. Convolutional neural networks (CNNs) using MRI (magnetic resonance imaging) are frequently employed to detect and avoid breast cancer. Additionally, the detection techniques have been helpful in detecting cells with cancer.
  • A model for multi-attack classification to improve intrusion detection performance using deep learning approaches
    Arun Kumar Silivery, Ram Mohan Rao Kovvur, Ramana Solleti, LK Suresh Kumar, Bhukya Madhu
    Measurement Sensors, 2023
    This proposed model introduces novel deep learning methodologies. The objective here is to create a reliable intrusion detection mechanism to help identify malicious attacks. Deep learning based solution framework is developed consisting of three approaches. The first approach is Long-Short Term Memory Recurrent Neural Network (LSTM-RNN) with seven optimizer functions such as adamax, SGD, adagrad, adam, RMSprop, nadam and adadelta. The model is evaluated on NSL-KDD dataset and classified multi attack classification. The model has outperformed with adamax optimizer in terms of accuracy, detection rate and low false alarm rate. The results of LSTM-RNN with adamax optimizer is compared with existing shallow machine and deep learning models in terms of accuracy, detection rate and low false alarm rate. The multi model methodology consisting of Recurrent Neural Network (RNN), Long-Short Term Memory Recurrent Neural Network (LSTM-RNN), and Deep Neural Network (DNN). The multi models are evaluated on bench mark datasets such as KDD’99, NSL-KDD, and UNSWNB15 datasets. The models self-learnt the features and classifies the attack classes as multi-attack classification. The models RNN, and LSTM-RNN provide considerable performance compared to other existing methods on KDD’99 and NSL-KDD dataset.
  • AMQP Protocol-Based Multilevel Security for M-commerce Transactions
    Ramana Solleti, N. Bhaskar, M. V. Ramana Murthy
    Lecture Notes in Networks and Systems, 2023
  • An Advanced Intrusion Detection Algorithm for Network Traffic Using Convolution Neural Network
    Arun Kumar Silivery, Kovvuru Ram Mohan Rao, Ramana Solleti
    2023 5th International Conference on Electrical Computer and Communication Technologies Icecct 2023, 2023
    There has been rapid advancement in networks and technology over the past few years, and Internet service providers are now available anywhere in the world. The number of thefts has increased, and many current systems have been breached. As a result, the need for creating information security technology to spot new attacks has grown significantly. An Intrusion Detection System (IDS) combines machine learning and deep learning algorithms to discover network abnormalities, is an essential information security technology. The central concept of this study is to find the elusive assault bundle by using a high-level intrusion detection system with high network performance. Likewise, in this approach, the attack detection is completed. The proposed system has shown that empowering brings incredible precision.
  • Internet of Things for Green Smart City Application Based on Biotechnology Techniques
    N Bhaskar, S Ramana, G. Mahesh Kumar
    Proceedings of the International Conference on Artificial Intelligence and Knowledge Discovery in Concurrent Engineering Iceconf 2023, 2023
    Recent developments in hardware and software have led to a proliferation of Internet of Things (IoT) devices (such as smartgadgets, Intelligent Cameras, Self Driving cars, etc.), making IoT devices and their applications ubiquitous in today's information society. But because IoT lets different kinds of devices connect and talk to each other, it creates a huge amount of data that needs to be processed and stored. The Industrial Revolution was a watershed moment in human history, a catalyst for economic growth that altered global patterns and the way people lived. The era of the intelligence-driven information revolution has finally come. The future of fields like biotechnology and medicine is bright thanks to rapid technological development, widespread access to the internet, and The Era of Big Data Has Arrived. IoT enables the automation of R&D through the use of The use of cutting-edge smart sensors, smartphone-based instruments and devices, and seamless networking. Technologies such as Data storage and sharing in the cloud, analytics on large amounts of data, embedded sensors, smart wearable devices, eco-friendly computers, data mining, biomedical imaging, intelligent algorithms, healthcare informatics, and so on are all examples. are all utilised by IoT -based digital health. To facilitate the gathering, storage, transfer, and analysis of large data sets in real time, the IoT facilitates healthcare mobility solutions and systems in the cloud. Disease diagnostics, Treatment of Patients From a Distance, improving clinical procedures, creating a “green smart city,” controlling inventories and livestock, and simplifying data administration are all hampered by the IoT, hastening the period of the digital revolution.
  • Machine Learning for a Payment Security Evaluation System for Mobile Networks
    Solleti Ramana, N. Bhaskar, M. V. Ramana Murthy, M. Raghavender Sharma
    Lecture Notes on Data Engineering and Communications Technologies, 2023
  • A Three-Level Gateway protocol for secure M-Commerce Transactions using Encrypted OTP
    S. Ramana, S China Ramu, N. Bhaskar, M. V. Ramana Murthy, C. R. K. Reddy
    Proceedings International Conference on Applied Artificial Intelligence and Computing Icaaic 2022, 2022
    Mobile commerce, which began in ancient times as the trade system, has grown in the ultramodern age due to improvements in technology, the Internet, the use of Financial Coffers, and the lives of mortal humans. There was a significant extemporization in the tackle industry and concurrent software development that led to a wide range of uses for computers and mobile phones. Ninety percent of people who take prescription drugs do so on handhelds, laptops, or cellphones, and the lives of mortals have been profoundly altered as a result of the smart operations available on mobile systems, which may be utilized at any time and from any location (Everything through one device). With mobile dispatching, so-called trade has been transformed into mobile commerce. Mobile commerce, or m-commerce, is a term used to describe all aspects of a possible marketable commercial agreement that are carried out over wireless or mobile networks, such as text messaging and email. Mobile Commerce tackles the mobile bias of electronic commerce, where the customer does not view any product that is being purchased physically. Mobile Commerce He has just a virtual representation of the thing being purchased. As a consumer and as a producer, the advantages of mobile commerce are vast, but there are also many challenges and security considerations that are keeping many mobile druggies from making the leap. Despite the adoption of several cryptographic security techniques and communication protocols, there are still a few ifs and buts. Three-Level Gateway Protocol for Secure M-Commerce Deals is presented in this paper, which uses any conventional or public-crucial algorithm and the Advanced Message Queuing Protocol (AMQP), an open standard for passing messages between operations or associations, and an Encrypted OTP in the payment process to ensure confidentiality of da and to prevent Replay Attacks, Man in the Middle Attacks, and Masking attacks of Cryptography systems.

RECENT SCHOLAR PUBLICATIONS

  • Image-Based Breast Cancer Diagnosis Leveraging Convolutional Neural Networks
    S Ramana, R Murthy, N Bhaskar, T Santhosh
    2024 4th International Conference on Ubiquitous Computing and Intelligent … , 2024
    2024.0
  • Machine Learning for a Payment Security Evaluation System for Mobile Networks
    S Ramana, N Bhaskar, MVR Murthy, MR Sharma
    Intelligent Communication Technologies and Virtual Mobile Networks, 347-356 , 2023
    2023.0
    Citations: 6
  • Internet of things for green smart city application based on biotechnology techniques
    N Bhaskar, S Ramana, GM Kumar
    2023 International Conference on Artificial Intelligence and Knowledge … , 2023
    2023.0
    Citations: 11
  • A three-level gateway protocol for secure m-commerce transactions using encrypted OTP
    S Ramana, SC Ramu, N Bhaskar, MVR Murthy, CRK Reddy
    2022 International conference on applied artificial intelligence and … , 2022
    2022.0
    Citations: 56
  • A Two-Level Authentication Protocol for Secure M-Commerce Transactions using AMQP Protocol
    S Ramana, N Bhaskar, SC Ramu, MVR Murthy
    Design Engineering, 844-861 , 2021
    2021.0
    Citations: 6
  • Correlative Approach of KNN and MQTT for Getting Better Yield in IoT Based Aquaculture
    N Bhaskar, S Ramana, MV Ramanamurthy
    Solid State Technology 64 (2), 402-410 , 2021
    2021.0
  • A Two-Level Protocol For Secure Transmission Of Image Using IOT Enabled Devices
    S Ramana, N Bhaskar, MVR Murthy, GRR Devi
    Volume 18, 1040-1050 , 2021
    2021.0
    Citations: 53
  • Efficient Load Balancing approach in Cloud Computing using Honey Bee algorithm
    B Niraghatam, S Ramana, MVR Murthy, SC Ramu
    Journal of Interdisciplinary Cycle Research 12 (I), 479-483 , 2020
    2020.0
    Citations: 11
  • Efficient Load Balancing approach in Cloud Computing using Honey Bee algorithm
    N B, S Ramana, MVR Murthy, SC Ramu
    Journal of Interdisciplinary Cycle Research 12 (1), 479–483 , 2020
    2020.0
  • Correlative approach of KNN and MQTT for getting better yield in IoT based Aquaculture
    N Bhaskar, S Ramana, P Satyanarayana, MVR Murthy
    Solid State Technology 63 (6), 21760–21769 , 2020
    2020.0
    Citations: 11
  • Three Level Gateway protocol for secure MCommerce Transactions
    S Ramana, N Bhaskar, CRK Reddy, MVR Murthy
    Solid State Technology 63 (6), 11155–11174 , 2020
    2020.0
    Citations: 12
  • Mobile Commerce using ECC and MQTT Protocol
    S Ramana, N Bhaskar, SC Ramu, MVR Murthy
    International Conference on Innovative Applied Energy, Oxford, United … , 2019
    2019.0
    Citations: 3
  • Security tool for IOT and IMAGE compression techniques
    S Ramana, MP Kumar, N Bhaskar, SC Ramu, GR Ramadevi
    Online International Interdisciplinary Research Journal 8 (02), 214–223 , 2018
    2018.0
    Citations: 57
  • Ensuring data integrity in cloud storage using ECC technique
    S Ramana, MVR Murthy, N Bhaskar
    International Journal of Advanced Research in Science and Engineering, BVC … , 2017
    2017.0
    Citations: 51
  • Security Tool for Mining Sensor Networks
    N Bhaskar, S Ramana, MVR Murthy
    International Journal of Advanced Research in Science and Engineering, BVC … , 2017
    2017.0
    Citations: 87
  • Peristaltic transport of Conducting Bingham fluid in contact with a Newtonian fluid in a channel
    MA Kumar, S Sreenadh, ANS Srinivas, SV Ramana
    International Journal of Engineering Science and Technology 5 (4), 731 , 2013
    2013.0
    Citations: 2
  • IOT AND BLOCKCHAIN: A NEW ERA OF DIGITAL INNOVATION
    S Ramana, MV Sreeprada, MJL Vydehi, MTS Kumar
  • A Two-Level Protocol for Secure Transmission of Image using IOT Enabled devices Webology, 2021
    S Ramana, N Bhaskar, MVR Murthy, GRR Devi
    Volume , 0
    Citations: 13
  • A Two-Level Authentication Protocol for Secure M-Commerce Transactions using AMQP Protocol–Design Engineering, 2021
    S Ramana, N Bhaskar, SC Ramu, MVR Murthy
    Issue , 0
    Citations: 12

MOST CITED SCHOLAR PUBLICATIONS

  • Security Tool for Mining Sensor Networks
    N Bhaskar, S Ramana, MVR Murthy
    International Journal of Advanced Research in Science and Engineering, BVC … , 2017
    2017.0
    Citations: 87
  • Security tool for IOT and IMAGE compression techniques
    S Ramana, MP Kumar, N Bhaskar, SC Ramu, GR Ramadevi
    Online International Interdisciplinary Research Journal 8 (02), 214–223 , 2018
    2018.0
    Citations: 57
  • A three-level gateway protocol for secure m-commerce transactions using encrypted OTP
    S Ramana, SC Ramu, N Bhaskar, MVR Murthy, CRK Reddy
    2022 International conference on applied artificial intelligence and … , 2022
    2022.0
    Citations: 56
  • A Two-Level Protocol For Secure Transmission Of Image Using IOT Enabled Devices
    S Ramana, N Bhaskar, MVR Murthy, GRR Devi
    Volume 18, 1040-1050 , 2021
    2021.0
    Citations: 53
  • Ensuring data integrity in cloud storage using ECC technique
    S Ramana, MVR Murthy, N Bhaskar
    International Journal of Advanced Research in Science and Engineering, BVC … , 2017
    2017.0
    Citations: 51
  • A Two-Level Protocol for Secure Transmission of Image using IOT Enabled devices Webology, 2021
    S Ramana, N Bhaskar, MVR Murthy, GRR Devi
    Volume , 0
    Citations: 13
  • Three Level Gateway protocol for secure MCommerce Transactions
    S Ramana, N Bhaskar, CRK Reddy, MVR Murthy
    Solid State Technology 63 (6), 11155–11174 , 2020
    2020.0
    Citations: 12
  • A Two-Level Authentication Protocol for Secure M-Commerce Transactions using AMQP Protocol–Design Engineering, 2021
    S Ramana, N Bhaskar, SC Ramu, MVR Murthy
    Issue , 0
    Citations: 12
  • Internet of things for green smart city application based on biotechnology techniques
    N Bhaskar, S Ramana, GM Kumar
    2023 International Conference on Artificial Intelligence and Knowledge … , 2023
    2023.0
    Citations: 11
  • Efficient Load Balancing approach in Cloud Computing using Honey Bee algorithm
    B Niraghatam, S Ramana, MVR Murthy, SC Ramu
    Journal of Interdisciplinary Cycle Research 12 (I), 479-483 , 2020
    2020.0
    Citations: 11
  • Correlative approach of KNN and MQTT for getting better yield in IoT based Aquaculture
    N Bhaskar, S Ramana, P Satyanarayana, MVR Murthy
    Solid State Technology 63 (6), 21760–21769 , 2020
    2020.0
    Citations: 11
  • Machine Learning for a Payment Security Evaluation System for Mobile Networks
    S Ramana, N Bhaskar, MVR Murthy, MR Sharma
    Intelligent Communication Technologies and Virtual Mobile Networks, 347-356 , 2023
    2023.0
    Citations: 6
  • A Two-Level Authentication Protocol for Secure M-Commerce Transactions using AMQP Protocol
    S Ramana, N Bhaskar, SC Ramu, MVR Murthy
    Design Engineering, 844-861 , 2021
    2021.0
    Citations: 6
  • Mobile Commerce using ECC and MQTT Protocol
    S Ramana, N Bhaskar, SC Ramu, MVR Murthy
    International Conference on Innovative Applied Energy, Oxford, United … , 2019
    2019.0
    Citations: 3
  • Peristaltic transport of Conducting Bingham fluid in contact with a Newtonian fluid in a channel
    MA Kumar, S Sreenadh, ANS Srinivas, SV Ramana
    International Journal of Engineering Science and Technology 5 (4), 731 , 2013
    2013.0
    Citations: 2
  • Image-Based Breast Cancer Diagnosis Leveraging Convolutional Neural Networks
    S Ramana, R Murthy, N Bhaskar, T Santhosh
    2024 4th International Conference on Ubiquitous Computing and Intelligent … , 2024
    2024.0
  • Correlative Approach of KNN and MQTT for Getting Better Yield in IoT Based Aquaculture
    N Bhaskar, S Ramana, MV Ramanamurthy
    Solid State Technology 64 (2), 402-410 , 2021
    2021.0
  • Efficient Load Balancing approach in Cloud Computing using Honey Bee algorithm
    N B, S Ramana, MVR Murthy, SC Ramu
    Journal of Interdisciplinary Cycle Research 12 (1), 479–483 , 2020
    2020.0
  • IOT AND BLOCKCHAIN: A NEW ERA OF DIGITAL INNOVATION
    S Ramana, MV Sreeprada, MJL Vydehi, MTS Kumar