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Computer Security. ESORICS 2024 International Workshops : SECAI, DisA, CPS4CIP, and SecAssure, Bydgoszcz, Poland, September 16–20, 2024, Revised Selected Papers, Part II / / edited by Joaquin Garcia-Alfaro, Harsha Kalutarage, Naoto Yanai, Rafał Kozik, Paweł Ksieniewicz, Michał Woźniak, Habtamu Abie, Silvio Ranise, Luca Verderame, Enrico Cambiaso, Rita Ugarelli, Isabel Praça, Basel Katt, Sandeep Pirbhulal, Ankur Shukla, Marek Pawlicki, Michał Choraś
Computer Security. ESORICS 2024 International Workshops : SECAI, DisA, CPS4CIP, and SecAssure, Bydgoszcz, Poland, September 16–20, 2024, Revised Selected Papers, Part II / / edited by Joaquin Garcia-Alfaro, Harsha Kalutarage, Naoto Yanai, Rafał Kozik, Paweł Ksieniewicz, Michał Woźniak, Habtamu Abie, Silvio Ranise, Luca Verderame, Enrico Cambiaso, Rita Ugarelli, Isabel Praça, Basel Katt, Sandeep Pirbhulal, Ankur Shukla, Marek Pawlicki, Michał Choraś
Edizione [1st ed. 2025.]
Pubbl/distr/stampa Cham : , : Springer Nature Switzerland : , : Imprint : Springer, , 2025
Descrizione fisica 1 online resource (XVI, 541 p. 113 illus., 94 illus. in color.)
Disciplina 005.8
Collana Lecture Notes in Computer Science
Soggetto topico Computer networks - Security measures
Computers
Cryptography
Data encryption (Computer science)
Computer engineering
Computer networks
Data protection
Mobile and Network Security
Computing Milieux
Cryptology
Computer Engineering and Networks
Computer Communication Networks
Data and Information Security
ISBN 3-031-82362-1
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto SECAI PAPERS: Feasibility Study for Supporting Static Malware Analysis Using LLM -- PSY: Posterior Sampling Based Privacy Enhancer in Large Language Models -- Systematic Bug Reproduction with Large Language Model -- BOTracle: A framework for Discriminating Bots and Humans -- Deep Learning for Network Anomaly Detection under Data Contamination: Evaluating Robustness and Mitigating Performance Degradation -- On Intrinsic Cause and Defense of Adversarial Examples in Deep Neural Networks -- Effects of Poisoning Attacks on Causal Deep Reinforcement Learning -- Generating Traffic-Level Adversarial Examples from Feature-Level Specifications -- PhishCoder: Efficient Extraction of Contextual Information from Phishing Emails -- .On the Robustness of Malware Detectors to Adversarial Samples -- Towards AI-Based Identification of Publicly Known Vulnerabilities -- Machine Learning-Based Secure Malware Detection using Features from Binary Executable Headers -- Improving Adversarial Robustness in Android Malware Detection by Reducing the Impact of Spurious Correlations -- Multi-Objective Evolutionary Algorithm for Automatic Generation of Adversarial Metamorphic Malware -- A RAG-Based Question-Answering Solution for Cyber-Attack Investigation and Attribution. DisA PAPERS: Recognition of Remakes and Fake Facial Images -- A Novel Method of Improving Intrusion Detection Systems Robustness Against Adversarial Attacks, through Feature Omission and a Committee of Classifiers -- Proposition of a Novel Type of Attacks Targeting Explainable AI Algorithms in Cybersecurity -- Data structures towards the recognition of fake news and disinformation written in Polish. CPS4CIP PAPERS: Characterizing Prediction Model Responses to Attack Inputs: A Study with Time-Series Power Consumption Data -- Best Practices - based Training for Improving Cybersecurity in Power Grids -- Proactive Cyber Security Strategies for Securing Critical National Infrastructure -- Weaponizing Disinformation Against Critical Infrastructures. SecAssure PAPERS: Compliance-driven CWE Assessment by Semantic Similarity -- Enabling Android Application Monitoring by Characterizing Security-Critical Code Fragments -- MITRE-Based APT Attack Generation and Prediction -- Assuring Privacy of AI-Powered Community Driven Android Code Vulnerability Detection -- Formalizing Federated Learning and Differential Privacy for GIS systems in IIIf -- AI-Assisted Assurance Profile Creation for System Security Assurance -- Attack to Defend: Gamifying the MITRE ATT&CK for Cyber Security Training using the COFELET Framework -- Canary in the Coal Mine: Identifying Cyber Threat Trends through Topic Mining -- Stack Overflow Case Study.
Record Nr. UNINA-9910991173303321
Cham : , : Springer Nature Switzerland : , : Imprint : Springer, , 2025
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui
Computer Security. ESORICS 2024 International Workshops : SECAI, DisA, CPS4CIP, and SecAssure, Bydgoszcz, Poland, September 16–20, 2024, Revised Selected Papers, Part II / / edited by Joaquin Garcia-Alfaro, Harsha Kalutarage, Naoto Yanai, Rafał Kozik, Paweł Ksieniewicz, Michał Woźniak, Habtamu Abie, Silvio Ranise, Luca Verderame, Enrico Cambiaso, Rita Ugarelli, Isabel Praça, Basel Katt, Sandeep Pirbhulal, Ankur Shukla, Marek Pawlicki, Michał Choraś
Computer Security. ESORICS 2024 International Workshops : SECAI, DisA, CPS4CIP, and SecAssure, Bydgoszcz, Poland, September 16–20, 2024, Revised Selected Papers, Part II / / edited by Joaquin Garcia-Alfaro, Harsha Kalutarage, Naoto Yanai, Rafał Kozik, Paweł Ksieniewicz, Michał Woźniak, Habtamu Abie, Silvio Ranise, Luca Verderame, Enrico Cambiaso, Rita Ugarelli, Isabel Praça, Basel Katt, Sandeep Pirbhulal, Ankur Shukla, Marek Pawlicki, Michał Choraś
Edizione [1st ed. 2025.]
Pubbl/distr/stampa Cham : , : Springer Nature Switzerland : , : Imprint : Springer, , 2025
Descrizione fisica 1 online resource (XVI, 541 p. 113 illus., 94 illus. in color.)
Disciplina 005.8
Collana Lecture Notes in Computer Science
Soggetto topico Computer networks - Security measures
Computers
Cryptography
Data encryption (Computer science)
Computer engineering
Computer networks
Data protection
Mobile and Network Security
Computing Milieux
Cryptology
Computer Engineering and Networks
Computer Communication Networks
Data and Information Security
ISBN 3-031-82362-1
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto SECAI PAPERS: Feasibility Study for Supporting Static Malware Analysis Using LLM -- PSY: Posterior Sampling Based Privacy Enhancer in Large Language Models -- Systematic Bug Reproduction with Large Language Model -- BOTracle: A framework for Discriminating Bots and Humans -- Deep Learning for Network Anomaly Detection under Data Contamination: Evaluating Robustness and Mitigating Performance Degradation -- On Intrinsic Cause and Defense of Adversarial Examples in Deep Neural Networks -- Effects of Poisoning Attacks on Causal Deep Reinforcement Learning -- Generating Traffic-Level Adversarial Examples from Feature-Level Specifications -- PhishCoder: Efficient Extraction of Contextual Information from Phishing Emails -- .On the Robustness of Malware Detectors to Adversarial Samples -- Towards AI-Based Identification of Publicly Known Vulnerabilities -- Machine Learning-Based Secure Malware Detection using Features from Binary Executable Headers -- Improving Adversarial Robustness in Android Malware Detection by Reducing the Impact of Spurious Correlations -- Multi-Objective Evolutionary Algorithm for Automatic Generation of Adversarial Metamorphic Malware -- A RAG-Based Question-Answering Solution for Cyber-Attack Investigation and Attribution. DisA PAPERS: Recognition of Remakes and Fake Facial Images -- A Novel Method of Improving Intrusion Detection Systems Robustness Against Adversarial Attacks, through Feature Omission and a Committee of Classifiers -- Proposition of a Novel Type of Attacks Targeting Explainable AI Algorithms in Cybersecurity -- Data structures towards the recognition of fake news and disinformation written in Polish. CPS4CIP PAPERS: Characterizing Prediction Model Responses to Attack Inputs: A Study with Time-Series Power Consumption Data -- Best Practices - based Training for Improving Cybersecurity in Power Grids -- Proactive Cyber Security Strategies for Securing Critical National Infrastructure -- Weaponizing Disinformation Against Critical Infrastructures. SecAssure PAPERS: Compliance-driven CWE Assessment by Semantic Similarity -- Enabling Android Application Monitoring by Characterizing Security-Critical Code Fragments -- MITRE-Based APT Attack Generation and Prediction -- Assuring Privacy of AI-Powered Community Driven Android Code Vulnerability Detection -- Formalizing Federated Learning and Differential Privacy for GIS systems in IIIf -- AI-Assisted Assurance Profile Creation for System Security Assurance -- Attack to Defend: Gamifying the MITRE ATT&CK for Cyber Security Training using the COFELET Framework -- Canary in the Coal Mine: Identifying Cyber Threat Trends through Topic Mining -- Stack Overflow Case Study.
Record Nr. UNISA-996650067803316
Cham : , : Springer Nature Switzerland : , : Imprint : Springer, , 2025
Materiale a stampa
Lo trovi qui: Univ. di Salerno
Opac: Controlla la disponibilità qui
Secure and Resilient Digital Transformation of Healthcare : Second International Workshop, SUNRISE 2024, Bergen, Norway, November 25, 2024, Proceedings / / edited by Habtamu Abie, Vasileios Gkioulos, Sokratis Katsikas, Sandeep Pirbhulal
Secure and Resilient Digital Transformation of Healthcare : Second International Workshop, SUNRISE 2024, Bergen, Norway, November 25, 2024, Proceedings / / edited by Habtamu Abie, Vasileios Gkioulos, Sokratis Katsikas, Sandeep Pirbhulal
Autore Abie Habtamu
Edizione [1st ed. 2025.]
Pubbl/distr/stampa Cham : , : Springer Nature Switzerland : , : Imprint : Springer, , 2025
Descrizione fisica 1 online resource (174 pages)
Disciplina 006.3
Altri autori (Persone) GkioulosVasileios
KatsikasSokratis
PirbhulalSandeep
Collana Communications in Computer and Information Science
Soggetto topico Artificial intelligence
Artificial Intelligence
ISBN 9783031855580
3031855582
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto -- Resilience and Dynamic Risk Assessment in Healthcare. -- An Architecture of Adaptive Cognitive Digital Twins for Resilient Healthcare Infrastructures and Services. -- Dynamic Safety and Security Risk Assessment in Healthcare and Critical Infrastructures. -- Cybersecurity Adaptive and Continuous Authentication in Healthcare. -- 5G Beyond for Healthcare: Leveraging AI/ML and Diverse Datasets for Cybersecurity. -- A Secure Privacy-Preserving Multimodal Continuous Authentication Protocol for Healthcare Systems. -- Cyber Security in Healthcare Systems: A Review of Tools and Attack Mitigation Techniques. -- Invited Paper from Keynotes. -- AI for Healthcare Security: The Intersection of Innovation and Resilience.
Record Nr. UNINA-9910986135503321
Abie Habtamu  
Cham : , : Springer Nature Switzerland : , : Imprint : Springer, , 2025
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui