{"product_id":"computer-security-esorics-2024-international-workshops-9783031823619","title":"Computer Security. ESORICS 2024 International","description":"\u003cb\u003eBook Synopsis\u003c\/b\u003e\u003cbr\u003e\u003cp\u003e\u003cstrong\u003eSECAI PAPERS: \u003c\/strong\u003eFeasibility 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. \u003cstrong\u003eDisA PAPERS: \u003c\/strong\u003eRecognition 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. \u003cstrong\u003eCPS4CIP PAPERS: \u003c\/strong\u003eCharacterizing 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. \u003cstrong\u003eSecAssure PAPERS: \u003c\/strong\u003eCompliance-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\u0026amp;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.\u003c\/p\u003e","brand":"Springer","offers":[{"title":"Default Title","offer_id":51043597418839,"sku":"9783031823619","price":61.6,"currency_code":"GBP","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0817\/1739\/5799\/files\/9783031823619.jpg?v=1750958818","url":"https:\/\/bookcurl.com\/products\/computer-security-esorics-2024-international-workshops-9783031823619","provider":"Book Curl","version":"1.0","type":"link"}