This book constitutes the refereed proceedings of the 5th International Conference on Science of Cyber Security, SciSec 2023, held in Melbourne, VIC, Australia, during July 11-14, 2023. The 21 full papers presented together with 6 short papers were carefully reviewed and selected from 60 submissions. The papers are organized in the topical sections named: ACDroid: Detecting Collusion Applications on Smart Devices; Almost Injective and Invertible Encodings for Jacobi Quartic Curves; Decompilation Based Deep Binary-Source Function Matching.
This book constitutes the refereed proceedings of the 5th International Conference on Science of Cyber Security, SciSec 2023, held in Melbourne, VIC, Australia, during July 11-14, 2023.
The 21 full papers presented together with 6 short papers were carefully reviewed and selected from 60 submissions. The papers are organized in the topical sections named: ACDroid: Detecting Collusion Applications on Smart Devices; Almost Injective and Invertible Encodings for Jacobi Quartic Curves; Decompilation Based Deep Binary-Source Function Matching.
Session 1 Network and System Security .- ACDroid: Detecting Collusion Applications on Smart Devices.- DomainIsolation: Lightweight Intra-enclave Isolation for Confidential Virtual Machines.- Keeping Your Enemies Closer: Shedding Light on the Attacker's Optimal Strategy.- Cyber Attacks against Enterprise Networks: Characterization, Modelling and Forecasting.- Session 2 Cryptography and Authentication.- MCVDSSE: Secure Multi-Client Verifiable Dynamic Symmetric Searchable Encryption.- A Graphical Password Scheme based on Rounded Image Selection.- Implementation of the Elliptic Curve Method.- Almost Injective and Invertible Encodings for Jacobi Quartic Curves.- SeeStar: an Efficient Starlink Asset Detection Framework.- Privacy-enhanced Anonymous and Deniable Post-Quantum X3DH.- Session 3 AI for Security.- Fractional Dynamic: Analysis for Network Malware Propagation.- Enhancing the Anti-steganalysis Ability via Multiple Adversarial Network.- An Empirical study of AI model's Performance for Electricity Load Forecasting with Extreme Weather Conditions.- Session 4 Threat Detection and Analysis.- AST2Vec: A Robust Neural Code Representation for Malicious PowerShell Detection.- Real-time Aggregation for Massive alerts based on Dynamic Attack Granularity Graph.- Decompilation Based Deep Binary-Source Function Matching.- Event-based Threat Intelligence Ontology Model.- Session 5 Web and Privacy Security.- Optimally Blending Honeypots into Production Networks: Hardness and Algorithms.- WebMea: A Google Chrome Extension for Web Security and Privacy Measurement Studies.- Quantifying Psychological Sophistication of Malicious Emails.- SVFL: Secure Vertical Federated Learning on Linear Models.- Session 6: Cryptography and Authentication II.- Multiprime Strategies for Serial Evaluation of eSIDH-Like Isogenies.- Adaptively Secure Constrained Verifiable Random Function.- A Robust Reversible Data Hiding Algorithm Based on Polar Harmonic Fourier Moments.- Session 7: Advanced Threat Detection Techniques and Blockchain.- VaultBox: Enhancing the Security and Effectiveness of Security Analytics.- Two-stage Anomaly Detection in LEO Satellite Network.- Hydra: An Efficient Asynchronous DAG-based BFT Protocol.- Redactable Blockchain in the Permissioned Setting.- Session 8: Workshop Session.- A MULTI-LEVEL Sorting Prediction Enhancement-based two-dimensional Reversible Data Hiding Algorithm for Jpeg Images.- Research on Encrypted Malicious 5G Access Network Traffic identification based on Deep Learning.- A Design of Network Attack Detection Using Causal and Non-causal Temporal Convolutional.
Session 1 Network and System Security .- ACDroid: Detecting Collusion Applications on Smart Devices.- DomainIsolation: Lightweight Intra-enclave Isolation for Confidential Virtual Machines.- Keeping Your Enemies Closer: Shedding Light on the Attacker's Optimal Strategy.- Cyber Attacks against Enterprise Networks: Characterization, Modelling and Forecasting.- Session 2 Cryptography and Authentication.- MCVDSSE: Secure Multi-Client Verifiable Dynamic Symmetric Searchable Encryption.- A Graphical Password Scheme based on Rounded Image Selection.- Implementation of the Elliptic Curve Method.- Almost Injective and Invertible Encodings for Jacobi Quartic Curves.- SeeStar: an Efficient Starlink Asset Detection Framework.- Privacy-enhanced Anonymous and Deniable Post-Quantum X3DH.- Session 3 AI for Security.- Fractional Dynamic: Analysis for Network Malware Propagation.- Enhancing the Anti-steganalysis Ability via Multiple Adversarial Network.- An Empirical study of AI model's Performance for Electricity Load Forecasting with Extreme Weather Conditions.- Session 4 Threat Detection and Analysis.- AST2Vec: A Robust Neural Code Representation for Malicious PowerShell Detection.- Real-time Aggregation for Massive alerts based on Dynamic Attack Granularity Graph.- Decompilation Based Deep Binary-Source Function Matching.- Event-based Threat Intelligence Ontology Model.- Session 5 Web and Privacy Security.- Optimally Blending Honeypots into Production Networks: Hardness and Algorithms.- WebMea: A Google Chrome Extension for Web Security and Privacy Measurement Studies.- Quantifying Psychological Sophistication of Malicious Emails.- SVFL: Secure Vertical Federated Learning on Linear Models.- Session 6: Cryptography and Authentication II.- Multiprime Strategies for Serial Evaluation of eSIDH-Like Isogenies.- Adaptively Secure Constrained Verifiable Random Function.- A Robust Reversible Data Hiding Algorithm Based on Polar Harmonic Fourier Moments.- Session 7: Advanced Threat Detection Techniques and Blockchain.- VaultBox: Enhancing the Security and Effectiveness of Security Analytics.- Two-stage Anomaly Detection in LEO Satellite Network.- Hydra: An Efficient Asynchronous DAG-based BFT Protocol.- Redactable Blockchain in the Permissioned Setting.- Session 8: Workshop Session.- A MULTI-LEVEL Sorting Prediction Enhancement-based two-dimensional Reversible Data Hiding Algorithm for Jpeg Images.- Research on Encrypted Malicious 5G Access Network Traffic identification based on Deep Learning.- A Design of Network Attack Detection Using Causal and Non-causal Temporal Convolutional.
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