Information Security and Privacy : 29th Australasian Conference, ACISP 2024, Sydney, NSW, Australia, July 15–17, 2024, Proceedings, Part III / edited by Tianqing Zhu, Yannan Li.

Format:

Book

Author/Creator:

Zhu, Tianqing.

Contributor:

Li, Yannan.

Series:

Lecture Notes in Computer Science, 1611-3349 ; 14897

Language:

English

Subjects (All):

Data protection.

Data and Information Security.

Local Subjects:

Data and Information Security.

Physical Description:

1 online resource (469 pages)

Edition:

1st ed. 2024.

Place of Publication:

Singapore : Springer Nature Singapore : Imprint: Springer, 2024.

Summary:

This volume constitutes the refereed proceedings of the 29th Australasian Conference, ACISP 2024, held in Sydney, NSW, Australia, during July 15–17, 2024. The 70 full papers were carefully reviewed and selected from 232 submission. They are categorized in the following sections: Blockchain Technology, Privacy Enhancing Technologies, System Security, Network Security, AI Security. .

Contents:

Blockchain Technology

Enhancing Permissioned Blockchains with Controlled Data Authorization

FXChain a multi consortium blockchain with flexible privacy preserving strategies

An Efficient Vulnerability Detection for Smart Contracts Using Gated Graph Neural Network

Lightweight Instance Batch Schemes towards Prover efficient Decentralized Private Computation

CrossAAD Cross-chain Abnormal Account Detection

AegisDB Scalable Blockchain Database with Secure Decentralised Load Balancing

Towards Scalable and Secure IoTs Transactions A New Bi directional Payment Channel without Third Party Monitoring

Privacy Enhancing Technologies

Understanding Privacy in Smart Speakers A Narrative Review

RPPDFL A Robustness and Privacy Preserving Decentralized Federated Learning System

FedSCD Federated learning with Semi centralization Discrepancy awareness and Dual model Collaboration

Pirates Anonymous Group Calls Over Fully Untrusted Infrastructure

SecuPath A Secure and Privacy Preserving Multiparty Path Planning Framework in UAV Applications

System Security

TSHMD Explainable Deep Learning for Time Series HPCs based IoT Malware Detection

Security Research for Android Remote Assistance Apps

SynBoost Robust Text Generation Model Via Beam Search and Synonym Driven Boosting

CCED A Configuration Failure Prevention Method for Autonomous Driving Systems

Action Driven UAV Fingerprint Verification with Perception Data

AggNoteBot A Robust Botnet Building using Aggressive Cloud Notes

Network Security

FSAM Framework for Online CDN based Website Classification

Towards Private Multi-Operator Network Slicing

AI Security

An Encrypted Traffic Classification Framework Based on Higher Interaction Graph Neural Network

PassTSL Modeling Human Created Passwords through Two Stage Learning

Detect Llama Finding Vulnerabilities in Smart Contracts using Large Language Models

MMOOC A Multimodal Misinformation Dataset for Out of Context News Analysis.

Notes:

Description based on publisher supplied metadata and other sources.

Other Format:

Print version: Zhu, Tianqing Information Security and Privacy

ISBN:

9789819751013

OCLC:

1450108944