Third International Conference, ANTIC 2023, Varanasi, India, December 20-22, 2023, Proceedings, Part II Verma, Anshul. editor. edt http://id.loc.gov/vocabulary/relators/edt Verma, Pradeepika. editor. edt http://id.loc.gov/vocabulary/relators/edt Pattanaik, Kiran Kumar. editor. edt http://id.loc.gov/vocabulary/relators/edt Dhurandher, Sanjay Kumar. editor. edt http://id.loc.gov/vocabulary/relators/edt Woungang, Isaac. editor. edt http://id.loc.gov/vocabulary/relators/edt SpringerLink (Online service) text sz 2024 1st ed. 2024. monographic eng

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access XXI, 372 p. 168 illus., 136 illus. in color. online resource. The 4-volume proceedings set CCIS 2090, 2091,2092 and 2093 constitute the refereed post-conference proceedings of the Third International Conference on Advanced Network Technologies and Intelligent Computing, ANTIC 2023, held in Varanasi, India, during December 20-22, 2023. The 87 full papers and 11 short papers included in this book were carefully reviewed and selected from 487 submissions. The conference papers are organized in topical sections on: Part I - Advanced Network Technologies. Part II - Advanced Network Technologies; Intelligent Computing. Part III - IV - Intelligent Computing. -- Advanced Network Technologies. -- An Insider Threat Resilient Framework Based on Honey Traps in a Function-Based Access Control Environment. -- Performance comparison of QoS aware power allocation and optimization techniques for the small-cell 5G networks. -- Reduced Competitive ratio of Sparse Semi-oblivious routing using social spider algorithm. -- Underwater Wireless Sensor Network Based on Mulithop Transmission using Ant Colony Optimization Algorithm. -- Detection of Malicious Network Traffic Attacks using Support Vector Machine. -- IoT Based Safety Monitoring and Communication System for Underground Coal Mines. -- Enhancing Network Security: A Hybrid Approach for Detection and Mitigation of Distributed Denial-of-Service Attacks Using Machine Learning. -- A Comparative Study of Low Power Wide Area Network Technologies for Smart Agriculture. -- OpenGNN: Augmenting Graph Neural Networks for Open-Set Node Prediction in Complex Networks. -- Optimizing Amazon SageMaker Workloads with Predictive Compute Type Selection Strategies. -- Threshold Based VM Placement Using MAD and IQR. -- On Designing an Intelligent Shipping Algorithm for Decentralized E-Commerce Systems. -- PwnShield: An Automated Approach To Detect And Exploit Buffer Overflows And Bypassing Modern Mitigation Techniques. -- Analysis of the Impacts of Flooding-based DDoS Attacks on SDN-enabled Cloud. -- Tree Topologies and Node Covers for Efficient Communication in Wireless Sensor Networks. -- Binary Computation Offloading in Edge Computing using Deep Reinforcement Learning. -- Data Agent-Based Volumetric Progress Monitoring over Mobile Ad-hoc Network in Disaster Management. -- Intelligent Computing. -- Deep Neural Networks for efficient Image Caption Generator. -- Computing Social Presence in Online Discussions Using Natural Language Processing Algorithms: A Conceptual Proposal in Python. -- Applications of Data Science and Machine Learning for Combating COVID-19. -- Hate Speech Detection in Audio using SHAP - An Explainable AI. -- Distributed Random Forest for Predicting Forest Wildfires Based on Weather Data. -- Audio-text Retrieval: Exploring Shared Parameters and Intra-Modal Constraint Loss. -- Grey Wolf Optimization based Hyper-Parameter Optimized Deep EfficientNet for Chest X-Ray based Detection of COVID-19. -- An Assorted Ensemble Method for Prediction of Terminal Care Preference by Caregivers of Alzheimer’s Victims. edited by Anshul Verma, Pradeepika Verma, Kiran Kumar Pattanaik, Sanjay Kumar Dhurandher, Isaac Woungang. Computer engineering Computer networks  Cryptography Data encryption (Computer science) Software engineering Coding theory Information theory Computer Engineering and Networks Cryptology Software Engineering Computer Communication Networks Coding and Information Theory TK7885-7895 TK5105.5-5105.9 9783031640643 https://doi.org/10.1007/978-3-031-64064-3 https://doi.org/10.1007/978-3-031-64064-3 240808 20251030112843.0 978-3-031-64064-3