1st Edition
Disruptive technologies in Computing and Communication Systems Proceedings of the 1st International Conference on Disruptive technologies in Computing and Communication Systems
The 1st International Conference on Disruptive Technologies in Computing and Communication Systems (ICDTCCS - 2023) has received overwhelming response on call for papers and over 119 papers from all over globe were received. We must appreciate the untiring contribution of the members of the organizing committee and Reviewers Board who worked hard to review the papers and finally a set of 69 technical papers were recommended for publication in the conference proceedings. We are grateful to the Chief Guest Prof Atul Negi, Dean – Hyderabad Central University, Guest of Honor Justice John S Spears -Professor University of West Los Angeles CA, and Keynote Speakers Prof A. Govardhan, Rector JNTU H, Prof A.V.Ramana Registrar – S.K.University, Dr Tara Bedi Trinity College Dublin, Prof C.R.Rao – Professor University of Hyderabad, Mr Peddigari Bala, Chief Innovation Officer TCS, for kindly accepting the invitation to deliver the valuable speech and keynote address in the same. We would like to convey our gratitude to Prof D. Asha Devi - SNIST, Dr B.Deevena Raju – ICFAI University, Dr Nekuri Naveen - HCU, Dr A.Mahesh Babu - KLH, Dr K.Hari Priya – Anurag University and Prof Kameswara Rao –SRK Bhimavaram for giving consent as session Chair. We are also thankful to our Chairman Sri Teegala Krishna Reddy, Secretary Dr. T.Harinath Reddy and Sri T. Amarnath Reddy for providing funds to organize the conference. We are also thankful to the contributors whose active interest and participation to ICDTCCS - 2023 has made the conference a glorious success. Finally, so many people have extended their helping hands in many ways for organizing the conference successfully. We are especially thankful to them.
1. Spatiotemporal Mobility Based Trajectory Privacy-Preserving in Ubiquitous Computing Environment
M. Suresh Babu, M. Supriya, K. Sandhya and K. Anusha
2. Usage of Artificial Neural Networks to Detect Fake Social Media Accounts
G. Chanakya, Thota Tejeswar, Vennela Reddy Vaddepally, Amaragani Pranay, and
Amireddy Koushik Reddy
3. Performance Evaluation of Text Classifier for NLP using Machine Learning Techniques
Kallepalli Rohit Kumar, P. Punnamchandar, Rajesh Banala and P. Nagaraj
4. A Secure AOMDV Protocol’s Design and Implementation in Mobile Adhoc Network Cryptography
K. Sreenivasulu, K. Gayatri and K. Kundana
5. Enhancing Cyber security: Evaluating Machine Learning Algorithms for Effective Threat Detection and Classification
K. Prathyusha, E. Shirisha, T. Priyanka and K. Raghavendar
6. AI Based Improved Vehicle Detection and Classification in Patterns Using Deep Learning
NVN. Sowjanya, G. Swetha, and T. Sai Lalith Prasad
7. Enhancing Cyber security: Evaluating Machine Learning Algorithms for Effective Threat Detection and Classification
T. Anjamma and S. Yamuna Reddy
8. Machine Learning Technique for Parkinson’s Disease Prediction
Kanakandla Vasudha, Gattu Tejaswini, Kanagiri Swapna and P. Ratna Tejaswi
9. Detection and Prevention of DDoS Attacks in Software-Defined Cloud Networks Using Advanced
Support Vector Machine
D. Navya Devi, K. Sreenivasulu and M. Janardhan
10. An Efficient Early Software Reliability Prediction using Particle Swarm Optimization (PSO)
P. Ashwini, B. Rajani and B. Vijitha
11. Enhanced Decision-Making and Predictive Analytics in IoT Implementing Random Forest Classifier
Rajesh Banala, Vicky Nair, Kuna Naresh and Thatikonda Radhika
12. A Survey of IoT Considerations, Requirements, Architectures and Their Potentials for Machine Learning Applications
Rama Krishna Yellapragada and K. Krishna Murthy
13. Design and Implementing of Brain Tumor Detection with Multilevel Roi-Based Features Using ANN
Macherla Dhana Lakshmi, Sirisha Kamsali and M. Shashidhar
14. Role of Machine Learning in Food Industry: A Survey
M. L. N. V. S. S. Ganesh, CH. P. Pranavi, Phanikanth Chintamaneni and Subrahmanyam Kodukula
15. An Intrusion Detection System Using Principal Component Analysis and Extreme Gradient Boosting
Bhargavi Goparaju, Bandla Srinivasa Rao and K. Bhargavi
16. A Cloud Computing Hierarchical Hybrid Intrusion Detection System Using Machine Learning
K . V. Panduranga Rao, V. Krishna Reddy, T. Prasad and D. Naresh
17. Design and Development of Secured Blockchain-based Platform in Edge Computing Environment
Goli Archana, Rajeev Goyal and K. M. V. Madan Kumar
18. Event Cameras for Parkinson’s Disease Diagnosis: A Preliminary Study
Aruna Thethali and Mandava Kranthi Kiran
19. Novel Computer Vision and Color Image Segmentation for Agriculture Application
Vempati Krishna, Ch. V. Raghavendran and S. K. Umar Faruk
20. Attention-based Multi-Task CNN U-Net for Kidney Tumor Segmentation and Classification
Seshadri Ramana, K. Mahesh Babu, P. Kiran Rao, Subarna Chatterjee and Y. Indira Priyadarshini
21. A critical Analysis for Early Chronic Liver Disease Detection by using Machine Learning Techniques
Jyoshna Allenki and Hemant Kumar Soni
22. Internet of Vehicle Ad Hoc Networks (VANETs): Anomaly Detection Algorithms
Anjali Thuvva, Rajeev Goyal and G. N. Balaji
23. Supervisory Approach Applying AWS Services
T. Sagar , P. Prathyusha, B. Sanjaykumar, Kalyanapu Srinivas and K. Rama Devi
24. Summarizing Customer Reviews Based on Feature Extraction and Opinion Mining for Online Products
S. Prem Kumar, M. Janardhan, V. Sidda Reddy and S. Suma
25. Secure Efficient and Cloud-Centric Smart Healthcare System with Public Verifiability and Internet of
Medical Things (IoMT)
Phaneendra Inkollu, Vishnu Charan Besta, Y. Rama Krishna and Keerthana Vemula
26. Pancreatic Cancer Disease Prediction with Ensemble Learning and Regularization Techniques for
Outlier Handling and Overfitting Mitigation
Christopher Francis Britto
27. Integrating Sentiment Analysis and LSTM to Predict Price Movements in Stocks
B. Venkataramana, G. VenkataKoti Reddy, P. Bhaskarareddy and P. Sri Durga
28. Enhancing Disease Prediction Accuracy: Leveraging Random Forest Out of Bag for Early Detection
and Diagnosis in Healthcare
E. Sateesh, K. Lakshmi Padmavathi and A Nageswara Rao
29. Effective Unauthorized Vehicle Detection System for Intelligent Transportation
Kotakonda Madhubabu and N. Snehalatha
30. Privacy and Security in Intelligent Devices
Pranayanath Reddy Anantula, B. Deevena Raju, Suthoju Girija Rani and A. Manjula
31. Accident Analysis and Detection System Based on Traffic Surveillance Videos
Ramesh Babu Palepu, Shaik Asleem and K. Lakshmi Padmavathi
32. A Comprehensive Survey on Brain Tumor Classification from MRI Images Using Artificial Intelligence
Sateesh Amarneni and Valarmathi R.S.
33. Performance Analysis of Text Classification Machine Learning Models
B. Venkataramana, G. Venkata Koti Reddy, P. Bhaskarareddy and P. Sri Durga
34. A Secure Routing Machine Learning Algorithms for Driverless Vehicles
A Divya sree, Chinna Archana, Marella Srimathi and Gogu Swathi
35. GUI Based Market Movement Using Digital and Binary
G.koushik, G. Krishna Mohan and J. Satish Babu
36. Extracting Trending Topics from Social Media Posts Using Word Embedding Based Clustering
P. S. Mahalle, P. N. Chatur, A. V. Deorankar, K. A. Waghmare and A. S. Jumde
37. Heart Disease Prediction System Using Machine Learning
Vaishnavi Bhuyar, Anil Deorankar and Kamlesh Waghmare
38. A Systematic Review on Predicting Skin Cancer Disease Using Deep Learning
K. Srilatha and N. Satheesh Kumar
39. Privacy Preservation in Dynamic Data Through Synonymous Linkage on Micro Aggregation
M. Suresh Babu, G. Kathyayini, B. Md Irfan and Mohammed Raziuddin
40. Design a Secure Authentication Protocol for Blockchain Based Sharing of Electronic Health Records
Etikala Aruna and Arun Sahayadhas
41. Enhanced Feature Based Attribute Encryption for Data Privacy and Access Control
Somireddy Pavani and Arun Sahayadhas
42. Image Forgery Detection Using Sobel Edge Detection, Feature Extraction
Mahammad Shabana, J. Praveen Kumar and Kaja Masthan
43. K Nearest Neighbour: A Dynamic Model
Tanya Tripathi, B. Deevena Raju and M. Suresh Babu
44. A Survey on Efficient Memory Management in Large-Scale Deep Learning Optimization
Jitendra Alaparthi and Varsha Namdeo
45. Firmware Security: Challenges, Vulnerabilities, and Mitigation Strategies
Devi Gujjula, G. V. Koti Reddy and P. Bhaskar Reddy
46. Designing a Multi-Sensor Based Wireless Sensor Network System for Monitoring the Wellness of
Elderly Individuals: Experimental Studies
K. Srinivasa Reddy, K. Venkata Murali Mohan, Geetha Reddy Evuri and B. Padmini
47. Transfer Learning Based Kidney Stone Detection in Patients Using ResNet50 with Medical Images
P. Naresh, A. Jahnavi Reddy, S. Prem Kumar, CH. Nikhil and T. Chandu
48. System for Managing Batteries in Electric Vehicles
Srujana Athimamula and Srilatha Attaluri
49. Improved Light Weight Crypto System for Secure Image Sharing Using IoT
Harini Saraswathi, Pavani Prathyusha Meenige, Nithish Kumar Reddy Mulageri,
C. N. Sujatha and Syed Jahangir Badashah
50. An Approach to Recognize Hand Gestures Using Convolution Neural Networks and Recurrent
Neural Networks
Rajesh Bhaskarla, Srujana Athimamula and Ravi C. N.
51. Comparative Study of Spatial and Frequency DomainImage Steganography Techniques on
Grayscale Images
Pydimarri Padmaja and T. Rajeshwari
52. Molecular Interactions in Binary Liquid Mixtures
Nagarjuna A., Sunitha G., VSN Raju K. and Praveen. B. M.
53. ROSE: Robustness Strategy for Scale-Free Wireless Sensor Networks
S. P. V. Subba Rao, Ramaswamy T. and T. Supriya
54. Enhanced Power Quality Management with DSTATCOM and Model Predictive Control
Kalagotla Chenchireddy, N. Rajasekhar Varma, Khammampati R. Sreejyothi and K. Santhosh
55. Design and Implementation of Area Efficient MAC Unit Using Reversible Logic Gates
Ch. Sravana Lakshmi and Rajesh Thumma
56. A Novel Bionic Eye with a Nanowire Array Artificial Retinal Regeneration
Muthyala V. V. S. Chowdary, N. Aravind, R. Suneel Kumar and T. Venkata Ramana
57. ICU Monitoring System Using Zynq Architecture Based SoC
Dharmavaram Asha Devi, M. Suresh Babu, G.Sirisha and Muthyala V. V. S. Chowdary
58. Noise Cancellation of Electrocardiogram Signal Using Moving Average Filter
M. Thomas Chinmai Chowdary, Ch. Lekhaz Kumar, N. R. Kavitha and Dharmavaram Asha Devi
59. The Smart Home Technology by WSN and GSM Using Mobile Applications MAN
C. Anna Palagan, K. Renuka, Sangeeta Jawar, J. Rachana and G. Rani
60. Grid-connected Single-stage PV System
Ankathi Manjula and A. Ramesh Babu
61. Reliability Evaluation of Distribution System Using Micro-Grid Model
Raju Kaduru and G. N Srinivas
62. Design of Electrical Vehicle Lithium Battery Charger Using MATLAB Simulink
B. Vidyasagar, N. Rajasekhar Varma, Dhasharatha G and Kalagotla Chenchi Reddy
63. Design of Highly Isolated Wearable Textile MIMO Antenna for Portable Wireless Applications in
Sub-6GHz Band
Shaik Mahaboob Peer, Madduri Vinay, Kaniganti Pavan Kumar, P. Pradeep and C. N. Sujatha
64. Brain Tumor Based on Berkley Wavelet Transformation by Using Image Processing
C. Anna Palagan, G. Sirisha, D. Ramadevi and Muthyala V. V. S. Chowdary
65. Enhancing Visual Features Investigating the Synergy of Gamma Correction and Wavelet Transform in
Image Enhancement
M. Renu Babu, S. China Venkateswarlu, Deshoju Vemana chary and Radhamma Erigela
66. Numerical study of MHD Stagnation-Point Flow of Nanofluid Flow Past a 3-D Sinusoidal Cylinder with Thermophoresis and Brownian Motion Effects
G. Kathyayani and P. Venkata Subrahmanyam
67. Network Slicing in 5G for the Emerging Commercial Needs and Networking Challenges
SwarnaKamalam Vaddi and Venkata Vara Prasad Padyala
68. Digital Electronic Voting Machine Using Verilog
Tangelapalli Swapna, Dharmavaram Asha Devi and Manu Gupta
69. Live Sketch for Computer Vision
Manu Gupta, Tangelapalli Swapna and Dharmavaram Asha Devi
Biography
Dr. K Venkata Murali Mohan, an accomplished Electronics & Telecommunications Engineer from Nagpur University, Nagpur. He has completed his M.Tech from JNTU, Kakinada, Ph.D from Acharya Nagarjuna University in Computer Science Engineering(2016) and Ph.D from Rayalaseema University, Kurnool in Electronics and Communications Engineering(2019). He is a hard core academician who believes in powerful learning which transforms the students into practically skilled serviceable engineers. Dr.K Venkata Murali Mohan has more than 20 years of experience in teaching & administration and in field. As a resolute educationalist, he has endeavored to publish text books and research papers which outlines his educational tendencies. He is a paragon of energy, enthusiasm, productiveness and competence whose intellectual ability and propriety go all the way in nurturing the students and faculty members to create a collaborative partnership. He is an optimist who believes in close connectivity among students, parents, teachers and support staff, striving to create a milieu that sustains excellence. His distinction lies in his commitment for the cause of the students, to help them to focus on confidence building, while nurturing an intense sense of social and environmental responsibility through academic and co-curricular activities. He continues to strive towards the attainment of his organizational goals in the interest of the TKRES.
Dr. M. Suresh Babu is a seasoned professional with over 26 years of experience in Teaching and Student Management. He is a Professor and Dean at Teegala Krishna Reddy Engineering College in Hyderabad. Given his various roles in the field, he has a strong background in computer science and engineering. Dr. M. Suresh Babu possesses a diverse skill set and has experience in both the software industry and academia. His experience spans both the technical and educational realms, showcasing a well-rounded professional with expertise in software development and a dedication to teaching and student management. Dr. Suresh’s roles span various responsibilities, from academic leadership and project guidance to administrative coordination and external examination activities. He has a diverse and extensive involvement in different academic and administrative roles. Dr. M. Suresh Babu is actively involved in academic publications and holds various editorial roles in reputed journals. Additionally, he is a member of several professional bodies. He has contributed over 150 technical papers and is a freelance editor for several Telugu and English newspapers. Dr. M. Suresh Babu is the Chairman of Doctoral Committees, overseeing and guiding doctoral research in various universities. His achievements reflect a dedication to both academic and community service, showcasing a well-rounded commitment to research, education, and social welfare
