| Record Type: |
Electronic resources
: Monograph/item
|
| Title/Author: |
Computer security/ edited by Joaquin Garcia-Alfaro ... [et al.]. |
| Reminder of title: |
ESORICS 2024 International Workshops : SECAI, DisA, CPS4CIP, and SecAssure, Bydgoszcz, Poland, September 16-20, 2024 : revised selected papers. |
| remainder title: |
ESORICS 2024 International Workshops |
| other author: |
Garcia-Alfaro, Joaquin. |
| corporate name: |
European Symposium on Research in Computer Security |
| Published: |
Cham :Springer Nature Switzerland : : 2025., |
| Description: |
xvi, 541 p. :ill. (some col.), digital ;24 cm. |
| [NT 15003449]: |
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 DataBest 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. |
| Contained By: |
Springer Nature eBook |
| Subject: |
Computer security - Congresses. - |
| Online resource: |
https://doi.org/10.1007/978-3-031-82362-6 |
| ISBN: |
9783031823626 |