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020		▼a9789819797431▼9978-981-97-9743-1
024		▼a10.1007/978-981-97-9743-1▼2doi
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245	00	▼aApplications and Techniques in Information Security▼h[electronic resource] :▼b14th International Conference, ATIS 2024, Tamil Nadu, India, November 22-24, 2024, Proceedings /▼cedited by V.S. Shankar Sriram, Anila Glory H., Gang Li, Shiva Raj Pokhrel.
250		▼a1st ed. 2025.
264		▼aSingapore :▼bSpringer Nature Singapore :▼bImprint: Springer,▼c2025.
300		▼aXIII, 342 p. 192 illus., 108 illus. in color.▼bonline resource.
336		▼atext▼btxt▼2rdacontent
337		▼acomputer▼bc▼2rdamedia
338		▼aonline resource▼bcr▼2rdacarrier
347		▼atext file▼bPDF▼2rda
490		▼aCommunications in Computer and Information Science,▼x1865-0937 ;▼v2306
505		▼a -- 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.
520		▼aThis book constitutes the refereed proceedings of the 14th International Conference, on Applications and Techniques in Information Security, ATIS 2024, held in Tamil Nadu, India, November 22-24, 2024. The 24 full papers presented were carefully reviewed and selected from 149 submissions. The conference focuses on Advancing Quantum Computing and Cryptography; AI-Driven Cybersecurity: The Role of Machine Learning; Advancing Cybersecurity with Deep Learning Techniques; and Securing Connected Systems: IoT, Cloud, and Web Security Strategies.
650		▼aData protection.
650		▼aArtificial intelligence.
650		▼aComputer networks .
650		▼aEducation▼xData processing.
650		▼aComputer engineering.
650		▼aData and Information Security.
650		▼aArtificial Intelligence.
650		▼aComputer Communication Networks.
650		▼aComputers and Education.
650		▼aComputer Engineering and Networks.
700		▼aShankar Sriram, V.S.▼eeditor.▼0(orcid)0000-0001-7870-7944▼1https://orcid.org/0000-0001-7870-7944▼4edt▼4http://id.loc.gov/vocabulary/relators/edt
700		▼aH., Anila Glory.▼eeditor.▼0(orcid)0000-0002-0313-6275▼1https://orcid.org/0000-0002-0313-6275▼4edt▼4http://id.loc.gov/vocabulary/relators/edt
700		▼aLi, Gang.▼eeditor.▼0(orcid)0000-0003-1583-641X▼1https://orcid.org/0000-0003-1583-641X▼4edt▼4http://id.loc.gov/vocabulary/relators/edt
700		▼aPokhrel, Shiva Raj.▼eeditor.▼0(orcid)0000-0001-5819-765X▼1https://orcid.org/0000-0001-5819-765X▼4edt▼4http://id.loc.gov/vocabulary/relators/edt
710		▼aSpringerLink (Online service)
773		▼tSpringer Nature eBook
776		▼iPrinted edition:▼z9789819797424
776		▼iPrinted edition:▼z9789819797448
830		▼aCommunications in Computer and Information Science,▼x1865-0937 ;▼v2306
856		▼uhttps://doi.org/10.1007/978-981-97-9743-1
912		▼aZDB-2-SCS
912		▼aZDB-2-SXCS
950		▼aComputer Science (SpringerNature-11645)
950		▼aComputer Science (R0) (SpringerNature-43710)

Applications and Techniques in Information Security[electronic resource] :14th International Conference, ATIS 2024, Tamil Nadu, India, November 22-24, 2024, Proceedings /edited by V.S. Shankar Sriram, Anila Glory H., Gang Li, Shiva Raj Pokhrel

Material type

전자책

Title

Author's Name

Shankar Sriram V.S. editor H. Anila Glory. editor Li Gang. editor Pokhrel Shiva Raj. editor

판 사항

1st ed. 2025.

Physical Description

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

Keyword

This book constitutes the refereed proceedings of the 14th International Conference, on Applications and Techniques in Information Security, ATIS 2024, held in Tamil Nadu, India, November 22-24, 2024. The 24 full papers presented were carefully reviewed and selected from 149 submissions. The conference focuses on Advancing Quantum Computing and Cryptography; AI-Driven Cybersecurity: The Role of Machine Learning; Advancing Cybersecurity with Deep Learning Techniques; and Securing Connected Systems: IoT, Cloud, and Web Security Strategies.

내용주기

/ 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.

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9789819797431

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