Advanced Network Technologies and Intelligent Computing : Third International Conference, ANTIC 2023, Varanasi, India, December 20-22, 2023, Proceedings, Part I (Communications in Computer and Information Science) / Verma, Anshul (EDT)/ Verma, Pradeepika (EDT)/ Pattanaik, Kiran Kumar (EDT)

Advanced Network Technologies and Intelligent Computing : Third International Conference, ANTIC 2023, Varanasi, India, December 20-22, 2023, Proceedings, Part I (Communications in Computer and Information Science) （2024）

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Advanced Network Technologies and Intelligent Computing : Third International Conference, ANTIC 2023, Varanasi, India, December 20-22, 2023, Proceedings, Part I (Communications in Computer and Information Science) （2024）

Verma, Anshul (EDT)/ Verma, Pradeepika (EDT)/ Pattanaik, Kiran Kumar (EDT)

ウェブストア価格 ¥17,590（本体¥15,991）
Springer International Publishing AG（2024/07発売）
外貨定価 US$ 84.99
ポイント 159pt

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製本 Paperback:紙装版/ペーパーバック版／ページ数 402 p.
商品コード 9783031640759

Full Description

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.

.- Performance Improvement for Energy-Efficient CSS with Optimized Cognitive Users over Fading Channels.

.- Optimizing WiMAX Network Performance with IP Security: An Evaluation of TCP and UDP Applications.

.- Enhancement of Security in Opportunistic Networks.

.- Design and Implementation of Smart Meter for Bilateral Transaction of Solar Energy.

.- Optimizing Task Completion Rate in Multi-User Edge Intelligence Networks through Neural Network-based Energy Management with Partitioning and Offloading.

.- Efficient Task Offloading in IoV using DDPG and MEC with RIS Support.

.- Vacation Recommendation System Using New York Times Articles.

.- Analysis of Different Measures of Centrality to Identify Vital Nodes in Social Networks.

.- Performance Analysis of Software-Defined Network (SDN) via POX Controller Simulation in Mininet.

.- Simulation and Comparison of BB84 and SSP99 QKD Protocols.

.- IoT and Machine Learning-based Monitoring of the Growth of Crops Using Blockchain Technology.

.- Determining the Impact of Metallic Obstacles on Blue-tooth Transmission to enhance Indoor Location Determination.

.- Optimizing Crop Yield through IoT-Based Smart Irrigation with Fuzzy Control.

.- Fusion of Chi-square and Z-test statistics for Feature Selection with Machine Learning Techniques in Intrusion Detection.

.- Smart Bakery: Technology and Automation.

.- An experimental study on Estimation of Reliability of a Computer Network for the network of Delhi Development Authority: A Study on Challenges, Experiment and its results, Potential Future Avenues and Significance of Ongoing Research.

.- An Effective Virtual Machine Allocation in Federated Cloud by PARAMR-DNN Technique.

.- Intrusion Watchdog: Enhancing Intrusion Detection System with Machine Learning using 3-way Feature Selection Technique.

.- Phishing URLs Detection Method using Hybrid Feature and Convolutional Neural Networks with Attention Mechanisms.

.- Exploring Multi-Attribute Selection Strategies for Effective Phishing Detection with Machine Learning.

.- Zero-day exploits framework of supply chain networks.

.- SMASK: Parallel Probabilistic Privacy-Preserving Frequent Pattern Mining Technique for Big Data.

.- SMAKMS_FC: Secure Mutual Authentication and Key Management Scheme for Fog Computing.

.- Comparative Analysis on Network Attack Prediction Used Deep Learning Approaches on Software Security Testing.

.- DNA-Based Elliptic Curve Cryptography for Data Security in IoT.