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 2. Usage of Artificial Neural Networks to Detect Fake Social Media Accounts
3. Performance Evaluation of Text Classifier for NLP using Machine Learning Techniques 4. A Secure AOMDV Protocol’s Design and Implementation in Mobile Adhoc Network Cryptography
5. Enhancing Cyber security: Evaluating Machine Learning Algorithms for Effective Threat Detection and Classification 6. AI Based Improved Vehicle Detection and Classification in Patterns Using Deep Learning
7. Enhancing Cyber security: Evaluating Machine Learning Algorithms for Effective Threat Detection and Classification 8. Machine Learning Technique for Parkinson’s Disease Prediction
9. Detection and Prevention of DDoS Attacks in Software-Defined Cloud Networks Using Advanced Support Vector Machine 10. An Efficient Early Software Reliability Prediction using Particle Swarm Optimization (PSO)
11. Enhanced Decision-Making and Predictive Analytics in IoT Implementing Random Forest Classifier 12. A Survey of IoT Considerations, Requirements, Architectures and Their Potentials for Machine Learning Applications
13. Design and Implementing of Brain Tumor Detection with Multilevel Roi-Based Features Using ANN 14. Role of Machine Learning in Food Industry: A Survey
15. An Intrusion Detection System Using Principal Component Analysis and Extreme Gradient Boosting 16. A Cloud Computing Hierarchical Hybrid Intrusion Detection System Using Machine Learning
17. Design and Development of Secured Blockchain-based Platform in Edge Computing Environment 18. Event Cameras for Parkinson’s Disease Diagnosis: A Preliminary Study
19. Novel Computer Vision and Color Image Segmentation for Agriculture Application 20. Attention-based Multi-Task CNN U-Net for Kidney Tumor Segmentation and Classification
21. A critical Analysis for Early Chronic Liver Disease Detection by using Machine Learning Techniques 22. Internet of Vehicle Ad Hoc Networks (VANETs): Anomaly Detection Algorithms
23. Supervisory Approach Applying AWS Services 24. Summarizing Customer Reviews Based on Feature Extraction and Opinion Mining for Online Products
25. Secure Efficient and Cloud-Centric Smart Healthcare System with Public Verifiability and Internet of Medical Things (IoMT)
26. Pancreatic Cancer Disease Prediction with Ensemble Learning and Regularization Techniques for Outlier Handling and Overfitting Mitigation 27. Integrating Sentiment Analysis and LSTM to Predict Price Movements in Stocks
28. Enhancing Disease Prediction Accuracy: Leveraging Random Forest Out of Bag for Early Detection and Diagnosis in Healthcare 29. Effective Unauthorized Vehicle Detection System for Intelligent Transportation
30. Privacy and Security in Intelligent Devices 31. Accident Analysis and Detection System Based on Traffic Surveillance Videos 32. A Comprehensive Survey on Brain Tumor Classification from MRI Images Using Artificial Intelligence
33. Performance Analysis of Text Classification Machine Learning Models 34. A Secure Routing Machine Learning Algorithms for Driverless Vehicles
35. GUI Based Market Movement Using Digital and Binary 36. Extracting Trending Topics from Social Media Posts Using Word Embedding Based Clustering
37. Heart Disease Prediction System Using Machine Learning 38. A Systematic Review on Predicting Skin Cancer Disease Using Deep Learning 39. Privacy Preservation in Dynamic Data Through Synonymous Linkage on Micro Aggregation
40. Design a Secure Authentication Protocol for Blockchain Based Sharing of Electronic Health Records 41. Enhanced Feature Based Attribute Encryption for Data Privacy and Access Control
42. Image Forgery Detection Using Sobel Edge Detection, Feature Extraction 43. K Nearest Neighbour: A Dynamic Model
44. A Survey on Efficient Memory Management in Large-Scale Deep Learning Optimization 45. Firmware Security: Challenges, Vulnerabilities, and Mitigation Strategies
46. Designing a Multi-Sensor Based Wireless Sensor Network System for Monitoring the Wellness of Elderly Individuals: Experimental Studies
47. Transfer Learning Based Kidney Stone Detection in Patients Using ResNet50 with Medical Images 48. System for Managing Batteries in Electric Vehicles
49. Improved Light Weight Crypto System for Secure Image Sharing Using IoT 50. An Approach to Recognize Hand Gestures Using Convolution Neural Networks and Recurrent
Neural Networks 51. Comparative Study of Spatial and Frequency DomainImage Steganography Techniques on Grayscale Images 52. Molecular Interactions in Binary Liquid Mixtures
53. ROSE: Robustness Strategy for Scale-Free Wireless Sensor Networks 54. Enhanced Power Quality Management with DSTATCOM and Model Predictive Control
55. Design and Implementation of Area Efficient MAC Unit Using Reversible Logic Gates 56. A Novel Bionic Eye with a Nanowire Array Artificial Retinal Regeneration
57. ICU Monitoring System Using Zynq Architecture Based SoC 58. Noise Cancellation of Electrocardiogram Signal Using Moving Average Filter
59. The Smart Home Technology by WSN and GSM Using Mobile Applications MAN 60. Grid-connected Single-stage PV System 61. Reliability Evaluation of Distribution System Using Micro-Grid Model
62. Design of Electrical Vehicle Lithium Battery Charger Using MATLAB Simulink 63. Design of Highly Isolated Wearable Textile MIMO Antenna for Portable Wireless Applications in
Sub-6GHz Band 64. Brain Tumor Based on Berkley Wavelet Transformation by Using Image Processing 65. Enhancing Visual Features Investigating the Synergy of Gamma Correction and Wavelet Transform in
Image Enhancement 66. Numerical study of MHD Stagnation-Point Flow of Nanofluid Flow Past a 3-D Sinusoidal Cylinder with Thermophoresis and Brownian Motion Effects
67. Network Slicing in 5G for the Emerging Commercial Needs and Networking Challenges 68. Digital Electronic Voting Machine Using Verilog 69. Live Sketch for Computer Vision

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 expertis