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Computer Security. ESORICS 2023 International Workshops

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Cover of 'Computer Security. ESORICS 2023 International Workshops'

Table of Contents

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    Book Overview
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    Chapter 1 An Opportunity-Based Approach to Information Security Risk
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    Chapter 2 A Methodology for Cybersecurity Risk Assessment in Supply Chains
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    Chapter 3 IM-DISCO: Invariant Mining for Detecting IntrusionS in Critical Operations
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    Chapter 4 Unravelling Network-Based Intrusion Detection: A Neutrosophic Rule Mining and Optimization Framework
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    Chapter 5 Labeling NIDS Rules with MITRE ATT &CK Techniques Using ChatGPT
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    Chapter 6 User Behavior Analysis for Malware Detection
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    Chapter 7 Balancing XAI with Privacy and Security Considerations
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    Chapter 8 Utilizing the Ensemble Learning and XAI for Performance Improvements in IoT Network Attack Detection
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    Chapter 9 Digital Twins in Healthcare: Security, Privacy, Trust and Safety Challenges
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    Chapter 10 C-TAR: A Compositional Threat Analysis and Risk Assessment Method for Infrastructure-Based Autonomous Driving
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    Chapter 11 The VOCODES Kill Chain for Voice Controllable Devices
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    Chapter 12 DETONAR-Light : An IoT Network Intrusion Detection Using DETONAR without a Sniffer Network
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    Chapter 13 Firmware-Based DoS Attacks in Wireless Sensor Network
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    Chapter 14 Single-Server Batch Delegation of Variable-Input Pairings with Unbounded Client Lifetime
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    Chapter 15 SigIL: A Signature-Based Approach of Malware Detection on Intermediate Language
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    Chapter 16 Toward Next-Generation Cyber Range: A Comparative Study of Training Platforms
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    Chapter 17 Forkfuzz: Leveraging the Fork-Awareness in Coverage-Guided Fuzzing
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    Chapter 18 Trust Assumptions in Voting Systems
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    Chapter 19 Introducing Distributed Ledger Security into System Specifications with the Isabelle RR-Cycle
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    Chapter 20 Enhancing Security Assurance in Software Development: AI-Based Vulnerable Code Detection with Static Analysis
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    Chapter 21 Least Information Redundancy Algorithm of Printable Shellcode Encoding for X86
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    Chapter 22 Execution at RISC: Stealth JOP Attacks on RISC-V Applications
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    Chapter 23 Modeling Obfuscation Stealth Through Code Complexity
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    Chapter 24 ZeekFlow: Deep Learning-Based Network Intrusion Detection a Multimodal Approach
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    Chapter 25 FedREVAN: R eal-time D E tection of  V ulnerable A ndroid Source Code Through Fed erated N eural Network with XAI
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    Chapter 26 Finding Server-Side Endpoints with Static Analysis of Client-Side JavaScript
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    Chapter 27 The Nonce-nce of Web Security: An Investigation of CSP Nonces Reuse
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    Chapter 28 Internet Transparency Through Multi-party Computation
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    Chapter 29 DNS Dependencies as an Expression of the Digital Divide: The Example of Australia
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    Chapter 30 Towards Security Transparency of Autonomous Systems on the Internet
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    Chapter 31 Privacy-Preserving Object Recognition with Explainability in Smart Systems
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    Chapter 32 An Efficient CKKS-FHEW/TFHE Hybrid Encrypted Inference Framework
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    Chapter 33 Pixels Who Violate Our Privacy! Deep Learning for Identifying Images’ Key Pixels
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    Chapter 34 Verifiable Fairness: Privacy–preserving Computation of Fairness for Machine Learning Systems
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    Chapter 35 NASimEmu: Network Attack Simulator & Emulator for Training Agents Generalizing to Novel Scenarios
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    Chapter 36 On the Use of AutoML for Combating Alert Fatigue in Security Operations Centers
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    Chapter 37 CO-DECYBER: Co-operative Decision Making for Cybersecurity Using Deep Multi-agent Reinforcement Learning
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    Chapter 38 Fault Injection and Safe-Error Attack for Extraction of Embedded Neural Network Models
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    Chapter 39 Can Inputs’ Reconstruction Information Be Coded into Machine Learning Model’s Outputs?
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    Chapter 41 Backdoor Attacks Leveraging Latent Representation in Competitive Learning
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    Chapter 42 Simulating Deception for Web Applications Using Reinforcement Learning
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    Chapter 43 The Road Towards Autonomous Cybersecurity Agents: Remedies for Simulation Environments
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    Chapter 44 Mitigating Gradient Inversion Attacks in Federated Learning with Frequency Transformation
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    Chapter 45 Network Intrusion Detection by Variational Component-Based Feature Saliency Gaussian Mixture Clustering
Overall attention for this book and its chapters
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Title
Computer Security. ESORICS 2023 International Workshops
Published by
Springer Nature Switzerland, March 2024
DOI 10.1007/978-3-031-54129-2
ISBNs
978-3-03-154128-5, 978-3-03-154129-2
Editors

Katsikas, Sokratis, Abie, Habtamu, Ranise, Silvio, Verderame, Luca, Cambiaso, Enrico, Ugarelli, Rita, Praça, Isabel, Li, Wenjuan, Meng, Weizhi, Furnell, Steven, Katt, Basel, Pirbhulal, Sandeep, Shukla, Ankur, Ianni, Michele, Dalla Preda, Mila, Choo, Kim-Kwang Raymond, Pupo Correia, Miguel, Abhishta, Abhishta, Sileno, Giovanni, Alishahi, Mina, Kalutarage, Harsha, Yanai, Naoto

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