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Produktbild: Applications and Techniques in Information Security
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Applications and Techniques in Information Security 14th International Conference, ATIS 2024, Tamil Nadu, India, November 22-24, 2024, Proceedings

Aus der Reihe Communications in Computer and Information Science
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76,99 € UVP 85,59 €

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Beschreibung

Produktdetails

Einband

Taschenbuch

Erscheinungsdatum

03.11.2024

Abbildungen

XIII, 342 p. 192 illus., 108 illus. in color.

Herausgeber

V.S. Shankar Sriram + weitere

Verlag

Springer Singapore

Seitenzahl

342

Maße (L/B/H)

23,5/15,5/2 cm

Gewicht

540 g

Auflage

1. Auflage

Sprache

Englisch

ISBN

978-981-9797-42-4

Beschreibung

Produktdetails

Einband

Taschenbuch

Erscheinungsdatum

03.11.2024

Abbildungen

XIII, 342 p. 192 illus., 108 illus. in color.

Herausgeber

Verlag

Springer Singapore

Seitenzahl

342

Maße (L/B/H)

23,5/15,5/2 cm

Gewicht

540 g

Auflage

1. Auflage

Sprache

Englisch

ISBN

978-981-9797-42-4

Herstelleradresse

Springer-Verlag GmbH
Tiergartenstr. 17
69121 Heidelberg
DE

Email: ProductSafety@springernature.com

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  • Produktbild: Applications and Techniques in Information Security

  • .- Security of Emerging Technologies in Computer Networks.


    .- 
    Advancing Quantum Computing and Cryptography
    .


    .- Optical Neural Networks – A Strategy for Secure Quantum Computing.


    .- Guarding Against Quantum Threats: A Survey of Post-Quantum Cryptography Standardization, Techniques, and Current Implementations.


    .- Cryptographic Distinguishers through Deep Learning for Lightweight Block Ciphers.


    .- Detection and Mitigation of Email Phishing.


    .- Securing Digital Forensic Data Using Neural Networks, Elephant Herd Optimization and Complex Sequence Techniques.


    .- Design of Image Encryption Technique Using MSE Approach.


    .- Low Latency Binary Edward Curve Crypto processor for FPGA platforms.


    .- Augmenting Security in Edge Devices: FPGA-Based Enhanced LEA Algorithm with S-Box and Chaotic Functions.


    .- 
    AI-Driven Cybersecurity: The Role of Machine Learning
    .


    .- Machine Learning Approach for Malware Detection Using Malware Memory Analysis Data.


    .- DDOS Attack Detection in Virtual Machine Using Machine Learning Algorithms.


    .- An Unsupervised Method for Intrusion Detection using Novel Percentage Split Clustering.


    .- HATT-MLPNN: A Hybrid Approach for Cyber-Attack Detection in Industrial Control Systems Using MLPNN and Attention Mechanisms.


    .- Silent Threats: Monitoring Insider Risks in Healthcare Sector.


    .- 
    Advancing Cybersecurity with Deep Learning Techniques
    .


    .- Enhanced Deep Learning for IIoT Threat Intelligence: Revealing Advanced Persistent Threat Attack Patterns.


    .- Adaptive Data-Driven LSTM Model for Sensor Drift Detection in Water Utilities.


    .- Enhancing FGSM Attacks with Genetic Algorithms for Robust Adversarial Examples in Remote Sensing Image Classification Systems.


    .- GAN-Enhanced Multiclass Malware Classification with Deep Convolutional Networks.


    .- 
    Securing Connected Systems: IoT, Cloud, and Web Security Strategies
    .


    .- IOT Based Locker Access System with MFA Remote Authentication.


    .- A Secure Authentication Scheme between Edge Devices using HyperGraph Hashing Technique in IoT Environment.


    .- Enhancing Access Control and Information Sharing in Cloud IoT with an Effective Blockchain-Based Authority System.


    .- Securing Data in MongoDB: A Framework Using Encryption.


    .- Handling Sensitive Medical Data – A Differential Privacy enabled Federated Learning Approach.


    .- Securing your Web Applications: The Power of Bugbite Vulnerability Scanner.