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Foundations and practice of security...
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FPS (Symposium) (2024 :)
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Foundations and practice of security = 17th International Symposium, FPS 2024, Montréal, QC, Canada, December 9-11, 2024 : revised selected papers.. Part II /
Record Type:
Electronic resources : Monograph/item
Title/Author:
Foundations and practice of security/ edited by Kamel Adi ... [et al.].
Reminder of title:
17th International Symposium, FPS 2024, Montréal, QC, Canada, December 9-11, 2024 : revised selected papers.
remainder title:
FPS 2024
other author:
Adi, Kamel.
corporate name:
FPS (Symposium)
Published:
Cham :Springer Nature Switzerland : : 2025.,
Description:
xv, 202 p. :ill. (some col.), digital ;24 cm.
[NT 15003449]:
Preserving privacy and maintaining trust for end users in a complex and numeric cyberspace. -- Another Walk for Monchi. -- An Innovative DSSE Framework: Ensuring Data Privacy and Query Verification in Untrusted Cloud Environments. -- Privacy-Preserving Machine Learning Inference for Intrusion Detection. -- Priv-IoT: Privacy-preserving Machine Learning in IoT Utilizing TEE and Lightweight Ciphers. -- Intersecting security, privacy, and machine learning techniques to detect, mitigate, and prevent threats. -- LocalIntel: Generating Organizational Threat Intelligence from Global and Local Cyber Knowledge. -- Intelligent Green Efficiency for Intrusion Detection. -- A Privacy-Preserving Behavioral Authentication System. -- Automated Exploration of Optimal Neural Network Structures for Deepfake Detection. -- An Empirical Study of Black-box based Membership Inference Attacks on a Real-World Dataset. -- New trends of machine leaning and AI applied to cybersecurity. -- ModelForge: Using GenAI to Improve the Development of Security Protocols. -- Detecting Energy Attacks in the Battery-less Internet of Things. -- Is Expert-Labeled Data Worth the Cost? Exploring Active and Semi-Supervised Learning Across Imbalance Scenarios in Financial Crime Detection. -- ExploitabilityBirthMark: An Early Predictor of the Likelihood of Exploitation.
Contained By:
Springer Nature eBook
Subject:
Computer security - Congresses. -
Online resource:
https://doi.org/10.1007/978-3-031-87496-3
ISBN:
9783031874963
Foundations and practice of security = 17th International Symposium, FPS 2024, Montréal, QC, Canada, December 9-11, 2024 : revised selected papers.. Part II /
Foundations and practice of security
17th International Symposium, FPS 2024, Montréal, QC, Canada, December 9-11, 2024 : revised selected papers.Part II /[electronic resource] :FPS 2024edited by Kamel Adi ... [et al.]. - Cham :Springer Nature Switzerland :2025. - xv, 202 p. :ill. (some col.), digital ;24 cm. - Lecture notes in computer science,155331611-3349 ;. - Lecture notes in computer science ;15533..
Preserving privacy and maintaining trust for end users in a complex and numeric cyberspace. -- Another Walk for Monchi. -- An Innovative DSSE Framework: Ensuring Data Privacy and Query Verification in Untrusted Cloud Environments. -- Privacy-Preserving Machine Learning Inference for Intrusion Detection. -- Priv-IoT: Privacy-preserving Machine Learning in IoT Utilizing TEE and Lightweight Ciphers. -- Intersecting security, privacy, and machine learning techniques to detect, mitigate, and prevent threats. -- LocalIntel: Generating Organizational Threat Intelligence from Global and Local Cyber Knowledge. -- Intelligent Green Efficiency for Intrusion Detection. -- A Privacy-Preserving Behavioral Authentication System. -- Automated Exploration of Optimal Neural Network Structures for Deepfake Detection. -- An Empirical Study of Black-box based Membership Inference Attacks on a Real-World Dataset. -- New trends of machine leaning and AI applied to cybersecurity. -- ModelForge: Using GenAI to Improve the Development of Security Protocols. -- Detecting Energy Attacks in the Battery-less Internet of Things. -- Is Expert-Labeled Data Worth the Cost? Exploring Active and Semi-Supervised Learning Across Imbalance Scenarios in Financial Crime Detection. -- ExploitabilityBirthMark: An Early Predictor of the Likelihood of Exploitation.
This two-volume set constitutes the refereed proceedings of the 17th International Symposium on Foundations and Practice of Security, FPS 2024, held in Montréal, QC, Canada, during December 09-11, 2024. The 28 full and 11 short papers presented in this book were carefully reviewed and selected from 75 submissions. The papers were organized in the following topical sections: Part I: Critical issues of protecting systems against digital threats,considering financial, technological, and operational implications; Automating and enhancing security mechanisms in software systems and data management; Cybersecurity and AI when applied to emerging technologies; Cybersecurity and Ethics; Cybersecurity and privacy in connected and autonomous systems for IoT, smart environments, and critical infrastructure; New trends in advanced cryptographic protocols. Part II: Preserving privacy and maintaining trust for end users in a complex and numeric cyberspace; Intersecting security, privacy, and machine learning techniques to detect, mitigate, and prevent threats; New trends of machine leaning and AI applied to cybersecurity.
ISBN: 9783031874963
Standard No.: 10.1007/978-3-031-87496-3doiSubjects--Topical Terms:
622818
Computer security
--Congresses.
LC Class. No.: QA76.9.A25
Dewey Class. No.: 005.8
Foundations and practice of security = 17th International Symposium, FPS 2024, Montréal, QC, Canada, December 9-11, 2024 : revised selected papers.. Part II /
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Preserving privacy and maintaining trust for end users in a complex and numeric cyberspace. -- Another Walk for Monchi. -- An Innovative DSSE Framework: Ensuring Data Privacy and Query Verification in Untrusted Cloud Environments. -- Privacy-Preserving Machine Learning Inference for Intrusion Detection. -- Priv-IoT: Privacy-preserving Machine Learning in IoT Utilizing TEE and Lightweight Ciphers. -- Intersecting security, privacy, and machine learning techniques to detect, mitigate, and prevent threats. -- LocalIntel: Generating Organizational Threat Intelligence from Global and Local Cyber Knowledge. -- Intelligent Green Efficiency for Intrusion Detection. -- A Privacy-Preserving Behavioral Authentication System. -- Automated Exploration of Optimal Neural Network Structures for Deepfake Detection. -- An Empirical Study of Black-box based Membership Inference Attacks on a Real-World Dataset. -- New trends of machine leaning and AI applied to cybersecurity. -- ModelForge: Using GenAI to Improve the Development of Security Protocols. -- Detecting Energy Attacks in the Battery-less Internet of Things. -- Is Expert-Labeled Data Worth the Cost? Exploring Active and Semi-Supervised Learning Across Imbalance Scenarios in Financial Crime Detection. -- ExploitabilityBirthMark: An Early Predictor of the Likelihood of Exploitation.
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This two-volume set constitutes the refereed proceedings of the 17th International Symposium on Foundations and Practice of Security, FPS 2024, held in Montréal, QC, Canada, during December 09-11, 2024. The 28 full and 11 short papers presented in this book were carefully reviewed and selected from 75 submissions. The papers were organized in the following topical sections: Part I: Critical issues of protecting systems against digital threats,considering financial, technological, and operational implications; Automating and enhancing security mechanisms in software systems and data management; Cybersecurity and AI when applied to emerging technologies; Cybersecurity and Ethics; Cybersecurity and privacy in connected and autonomous systems for IoT, smart environments, and critical infrastructure; New trends in advanced cryptographic protocols. Part II: Preserving privacy and maintaining trust for end users in a complex and numeric cyberspace; Intersecting security, privacy, and machine learning techniques to detect, mitigate, and prevent threats; New trends of machine leaning and AI applied to cybersecurity.
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based on 0 review(s)
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W9518787
電子資源
11.線上閱覽_V
電子書
EB QA76.9.A25
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