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Security and Privacy in Communication Networks: 20th EAI International Conference, SecureComm 2024, Dubai, United Arab Emirates, October 2830, 2024, Proceedings, Part III [Mīkstie vāki]

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Permanent link: https://www.kriso.lv/db/9783031944543.html
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 on



Privacy and Cryptography



AI for cybersecurity and Adversial models



Quantum Computing in Cybersecurity



Network Security



Blockchain and Cryptocurrencies



Fuzzing and IoT security



Malware and Attack Analysis



Web Security



Authentication



Large Language Model for Cybersecurity



Security Assessments
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.