Security and Privacy in Communication Networks

20th EAI International Conference, SecureComm 2024, Dubai, United Arab Emirates, October 28–30, 2024, Proceedings, Part III

Häftad, Engelska, 2025

Del 629 i serien Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering

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Beskrivning

This four-volume set LNISCT 627-630 constitutes the proceedings of the 20th EAI International Conference on Security and Privacy in Communication Networks, SecureComm 2024, held in Dubai, United Arab Emirates during October 28 - 30, 2024.The 81 full papers were carefully reviewed and selected from 225 submissions. The proceedings focus onPrivacy and CryptographyAI for cybersecurity and Adversial modelsQuantum Computing in CybersecurityNetwork SecurityBlockchain and CryptocurrenciesFuzzing and IoT securityMalware and Attack AnalysisWeb SecurityAuthenticationLarge Language Model for CybersecuritySecurity Assessments

Produktinformation

Utgivningsdatum:2025-09-05
Mått:155 x 235 x 27 mm
Vikt:750 g
Format:Häftad
Språk:Engelska
Serie:Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering
Antal sidor:484
Förlag:Springer International Publishing AG
ISBN:9783031944543

Utforska kategorier

Innehållsförteckning

Fuzzing and IoT security.- Fast Firmware Fuzz with Input/Output Reposition.- ChipFuzzer: Towards Fuzzing Matter based IoT Devices for Vulnerability Detection.- Reusablity Evaluation of Reports in Security Operation Centers for IoT with Sentence ALBERT and Jaccard Similarity.- Multi Server Publicly Verifiable Computation of polynomials.- Siamese Neural Network for Robust IoT Device Type Identification: A Few Shot Learning Approach.- FISFuzzer: A Grey Box Protocol Fuzzer Based on Field Inference and Scheduling.- Malware and Attack Analysis.- Mal POBM: A Genetic Algorithm for Malware Adversarial Sample Generation.- Graphite: Real Time Graph Based Detection of Windows Fileless Malware Attacks.- Robust Network Intrusion Detection via Semi-Supervised Deep Reinforcement Learning.- BinSimDB: Benchmark Dataset Construction for Fine Grained Binary Code Similarity Analysis.- OnionPeeler: A Novel Input Enriched Website Fingerprinting Attack on Tor Onion Services.- Web Security.- Beyond the Public Mempool: Catching DeFi Attacks Before They Happen with Real Time Smart Contract Analysis.- Ensuring Integrity in Online Content Usage and Download Counting with Smart Contracts.-ChatSpamDetector: Leveraging Large Language Models for Effective Phishing Email Detection.- EasyCSPeasy: A Server side and Language agnostic XSS Mitigation by Devising and Ensuring Compliance with CSP.- Encoder based Multimodal Ensemble Learning for High Compatibility and Accuracy in Phishing Website Detection.- Bag of Characters: A Multiple Instance Learning Framework for URL Embedding in Web Security.- AutoS2ploit: From Automotive Safety Critical Functionalities to Security Exploit.- Pitfalls of data masking techniques: Re-identification attacks.- Faster Three Party Constant round Comparison with Application in Neural Network Inference.- WtLDP:Generating Synthetic Decentralized Weighted Graphs with Local Differential Privacy.- Tarnhelm: Using Adversarial Samples to Protect User Privacy Against Traffic Identification.