Công bố khoa học

A Coverage-guided Fuzzing Method for Automatic Software Vulnerability Detection using Reinforcement Learning-enabled Multi-Level Input Mutation

9 tháng trước

Fuzzing is a popular and effective software testing technique that automatically generates or modifies inputs to test the stability and vulnerabilities of a software system, which has been widely applied and improved by security researchers and experts. The goal of fuzzing is to uncover potential weaknesses in software by providing…

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An Approach of Adaptive Cyber Deception for Active Cyber-attack Defense Method based on Deep Reinforcement Learning

11 tháng trước

The diverse landscape of network models, including Software-Defined Networking (SDN), Cloud Computing (C2), and Internet of Things (IoT), is evolving to meet the demands of flexibility and performance. However, these environments face numerous security challenges due to cyber-attack complexity. Traditional defense mechanisms are no longer effective against modern attacks. Therefore,…

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Multimodal Deep Learning Feedback for Generating Evasive Malware Samples against Malware Detector

11 tháng trước

As data driven-based Windows malware detectors become increasingly prevalent, the need for robust evaluation and enhancement of adversarial malware generation techniques also becomes imperative, as malicious actors will adapt and enhance their malware to evade detection. There are numerous works that introduce new techniques or enhancements for adversarial malware. One…

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Medichain: A multi-chain based system for managing prescription medications using Zero Knowledge Proofs

12 tháng trước

The abuse of prescription medications has become a severe public health crisis fueled by limited coordination and oversight across healthcare systems. Current frameworks lack interoperability between doctors, pharmacies, and regulators, enabling abusive practices like doctor shopping and pharmacy hopping. To address these issues, this research proposes Medichain, a novel multichain-based…

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CrossCert: A Privacy-Preserving Cross-chain System for Educational Credential Verification using Zero-Knowledge Proof

1 năm trước

Across various industries, credential verification stands as a critical requirement, yet traditional approaches face limitations in security, privacy, and interoperability. Although recent blockchain innovations promise decentralization, deploying them independently in institutions creates data isolation. While there are theoretical frameworks, lack of practical studies achieving a balance between credential mobility and…

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A Multi-chain Interoperable Data and Access System for Healthcare

1 năm trước

The emergence of Blockchain technology has inaugurated a transformative era by its multifaceted advantages and wide-ranging applications across diverse industries. Nevertheless, while holding great promise, Blockchain encounters a significant challenge in achieving interoperability within the complex landscape of multi-blockchain ecosystems. The imperative necessity for seamless data and digital asset exchange…

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