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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 / / edited by Kamel Adi, Simon Bourdeau, Christel Durand, Valérie Viet Triem Tong, Alina Dulipovici, Yvon Kermarrec, Joaquin Garcia-Alfaro
Foundations and Practice of Security : 17th International Symposium, FPS 2024, Montréal, QC, Canada, December 9–11, 2024, Revised Selected Papers, Part II / / edited by Kamel Adi, Simon Bourdeau, Christel Durand, Valérie Viet Triem Tong, Alina Dulipovici, Yvon Kermarrec, Joaquin Garcia-Alfaro
Autore Adi Kamel
Edizione [1st ed. 2025.]
Pubbl/distr/stampa Cham : , : Springer Nature Switzerland : , : Imprint : Springer, , 2025
Descrizione fisica 1 online resource (319 pages)
Disciplina 005.8
Altri autori (Persone) BourdeauSimon
DurandChristel
Viet Triem TongValérie
DulipoviciAlina
KermarrecYvon
Garcia-AlfaroJoaquin
Collana Lecture Notes in Computer Science
Soggetto topico Data protection
Computer engineering
Computer networks
Data and Information Security
Computer Engineering and Networks
Computer Communication Networks
ISBN 3-031-87496-X
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto -- 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.
Record Nr. UNINA-9911011655503321
Adi Kamel  
Cham : , : Springer Nature Switzerland : , : Imprint : Springer, , 2025
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui
Foundations and Practice of Security : 17th International Symposium, FPS 2024, Montréal, QC, Canada, December 9–11, 2024, Revised Selected Papers, Part II / / edited by Kamel Adi, Simon Bourdeau, Christel Durand, Valérie Viet Triem Tong, Alina Dulipovici, Yvon Kermarrec, Joaquin Garcia-Alfaro
Foundations and Practice of Security : 17th International Symposium, FPS 2024, Montréal, QC, Canada, December 9–11, 2024, Revised Selected Papers, Part II / / edited by Kamel Adi, Simon Bourdeau, Christel Durand, Valérie Viet Triem Tong, Alina Dulipovici, Yvon Kermarrec, Joaquin Garcia-Alfaro
Autore Adi Kamel
Edizione [1st ed. 2025.]
Pubbl/distr/stampa Cham : , : Springer Nature Switzerland : , : Imprint : Springer, , 2025
Descrizione fisica 1 online resource (319 pages)
Disciplina 005.8
Altri autori (Persone) BourdeauSimon
DurandChristel
Viet Triem TongValérie
DulipoviciAlina
KermarrecYvon
Garcia-AlfaroJoaquin
Collana Lecture Notes in Computer Science
Soggetto topico Data protection
Computer engineering
Computer networks
Data and Information Security
Computer Engineering and Networks
Computer Communication Networks
ISBN 3-031-87496-X
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto -- 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.
Record Nr. UNISA-996664552803316
Adi Kamel  
Cham : , : Springer Nature Switzerland : , : Imprint : Springer, , 2025
Materiale a stampa
Lo trovi qui: Univ. di Salerno
Opac: Controlla la disponibilità qui