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Security, Privacy and Data Analytics [electronic resource] : Select Proceedings of the 2nd International Conference, ISPDA 2022 /

Contributor(s): Material type: TextTextSeries: Lecture Notes in Electrical Engineering ; 1049Publisher: Singapore : Springer Nature Singapore : Imprint: Springer, 2023Edition: 1st ed. 2023Description: XII, 426 p. 161 illus., 102 illus. in color. online resourceContent type:
  • text
Media type:
  • computer
Carrier type:
  • online resource
ISBN:
  • 9789819935697
Subject(s): Additional physical formats: Printed edition:: No title; Printed edition:: No title; Printed edition:: No titleDDC classification:
  • 005.8 23
LOC classification:
  • QA76.9.A25
Online resources:
Contents:
Recent Advancements on Energy-Saving LEACH Protocol in Wireless Sensor Network-Review -- Slow TCP Port Scan Detection Using Flow Data.-An Exploration of Digital Forensic Techniques: A Brief Survey -- Personality Based Friends Recommendation System for Social Networks -- Analysis of Different Sampling Techniques for Software Fault Prediction.
In: Springer Nature eBookSummary: This book constitutes refereed proceedings of the International Conference on Security, Privacy and Data Analytics, ISPDA 2022. The volume covers topics, including big data and analytics, cloud security and privacy, data intelligence, hardware security, network security, blockchain technology and distributed ledger, machine learning for security, and many others. The volume includes novel contributions and the latest developments from researchers across industry and academia working in security, privacy, and data analytics from technological and social perspectives. This book will emerge as a valuable reference for researchers, instructors, students, scientists, engineers, managers, and industry practitioners across the globe.
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Recent Advancements on Energy-Saving LEACH Protocol in Wireless Sensor Network-Review -- Slow TCP Port Scan Detection Using Flow Data.-An Exploration of Digital Forensic Techniques: A Brief Survey -- Personality Based Friends Recommendation System for Social Networks -- Analysis of Different Sampling Techniques for Software Fault Prediction.

This book constitutes refereed proceedings of the International Conference on Security, Privacy and Data Analytics, ISPDA 2022. The volume covers topics, including big data and analytics, cloud security and privacy, data intelligence, hardware security, network security, blockchain technology and distributed ledger, machine learning for security, and many others. The volume includes novel contributions and the latest developments from researchers across industry and academia working in security, privacy, and data analytics from technological and social perspectives. This book will emerge as a valuable reference for researchers, instructors, students, scientists, engineers, managers, and industry practitioners across the globe.

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