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Vinh Thong Ta

Publications and source records attributed to Vinh Thong Ta.

7 recordsLinked to original sources

Automated Cybersecurity Compliance and Threat Response Using AI, Blockchain & Smart Contracts

To address the challenges of internal security policy compliance and dynamic threat response in organizations, we present a novel framework that integrates artificial intelligence (AI), blockchain, and smart contracts. We propose a system that automates the enforcement of security policies, reducing manual effort and potential human error. Utilizing AI, we can analyse cyber threat intelligence rapidly, identify non-compliances and automatically adjust cyber defence mechanisms. Blockchain technology provides an immutable ledger for transparent logging of compliance actions, while smart contracts ensure uniform application of security measures. The framework's effectiveness is demonstrated through simulations, showing improvements in compliance enforcement rates and response times compared to traditional methods. Ultimately, our approach provides for a scalable solution for managing complex security policies, reducing costs and enhancing the efficiency while achieving compliance. Finally, we discuss practical implications and propose future research directions to further refine the system and address implementation challenges.

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On the conformance of Android applications with children's data protection regulations and safeguarding guidelines

With the rapid development of online technologies and the widespread usage of mobile phones among children, it is crucial to protect their online safety. Some studies reported that online abuse and incidents negatively affect children's mental health and development. In this paper, we examine how Android applications follow the rules related to children's data protection in the EU General Data Protection Regulation (GDPR) and the UK and EU children's online safeguarding guidelines. Our findings show that the number of non-compliant apps is still significant. Even the apps designed for children do not always comply with legislation or guidance. This lack of compliance could contribute to creating a path to causing physical or mental harm to children. We then discuss the relevance of automating the compliance verification and online safety risk assessment, including open questions, challenges, possible approaches, and directions.

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An Indirect Social Trust Model for Vehicular Social Networks Using Evolving Graph Theory

The increasing importance and consequent challenges of establishing indirect trusted relationships in highly dynamic social networks such as vehicular social networks (VSNs), are investigated in this paper. VSNs are mobile social networks that aim to create social links among travellers on the roads. Besides matching interests between two users, social trust is essential to successfully establish and nurture a social relationship. However, the unique characteristics of VSNs pose many challenges such as uncertainty, subjectivity and intransitivity to indirect social trust modelling. Furthermore, the current trust models in the literature inadequately address trust propagation in VSNs. We propose a novel indirect social trust model for VSNs using evolving graph theory and the Paillier cryptosystem. We consider the VSN as a highly dynamic social evolving graph where social ties among vehicles hold a trustworthiness factor that evolves over time. This factor is estimated based on the behaviours, opinions, distances, and communication metrics of the parties involved. Employing the homomorphic property of the Paillier cryptosystem, the proposed model targets the subjectivity problem when combining multiple opinions to establish an indirect trusted relationship. Through analysis of computational and communication complexities, we show the viability of the proposed model and the efficiency of its indirect trust computation algorithm.

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Augmenting Zero Trust Architecture to Endpoints Using Blockchain: A State-of-The-Art Review

With the purpose of defending against lateral movement in today's borderless networks, Zero Trust Architecture (ZTA) adoption is gaining momentum. With a full scale ZTA implementation, it is unlikely that adversaries will be able to spread through the network starting from a compromised endpoint. However, the already authenticated and authorised session of a compromised endpoint can be leveraged to perform limited, though malicious, activities ultimately rendering the endpoints the Achilles heel of ZTA. To effectively detect such attacks, distributed collaborative intrusion detection systems with an attack scenario-based approach have been developed. Nonetheless, Advanced Persistent Threats (APTs) have demonstrated their ability to bypass this approach with a high success ratio. As a result, adversaries can pass undetected or potentially alter the detection logging mechanisms to achieve a stealthy presence. Recently, blockchain technology has demonstrated solid use cases in the cyber security domain. In this paper, motivated by the convergence of ZTA and blockchain-based intrusion detection and prevention, we examine how ZTA can be augmented onto endpoints. Namely, we perform a state-of-the-art review of ZTA models, real-world architectures with a focus on endpoints, and blockchain-based intrusion detection systems. We discuss the potential of blockchain's immutability fortifying the detection process and identify open challenges as well as potential solutions and future directions.

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DataProVe: A Data Protection Policy and System Architecture Verification Tool

In this paper, we propose a tool, called DataProVe, for specifying high-level data protection policies and system architectures, as well as verifying the conformance between them in a fully automated way. The syntax of the policies and the architectures is based on semi-formal languages, and the automated verification engine relies on logic and resolution based proofs. The functionality and operation of the tool are presented using different examples.

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Privacy by Design: On the Formal Design and Conformance Check of Personal Data Protection Policies and Architectures

The new General Data Protection Regulation (GDPR) will take effect in May 2018, and hence, designing compliant data protection policies and system architectures became crucial for organizations to avoid penalties. Unfortunately, the regulations given in a textual format can be easily misinterpreted by the policy and system designers, which also making the conformance check error-prone for auditors. In this paper, we apply formal approach to facilitate systematic design of policies and architectures in an unambiguous way, and provide a framework for mathematically sound conformance checks against the current data protection regulations. We propose a (semi-)formal approach for specifying and reasoning about data protection policies and architectures as well as defining conformance relations between architectures and policies. The usability of our proposed approach is demonstrated on a smart metering service case study.

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Automated Road Traffic Congestion Detection and Alarm Systems: Incorporating V2I communications into ATCSs

In this position paper, we address the problems of automated road congestion detection and alerting systems and their security properties. We review different theoretical adaptive road traffic control approaches, and three widely deployed adaptive traffic control systems (ATCSs), namely, SCATS, SCOOT and InSync. We then discuss some related research questions, and the corresponding possible approaches, as well as the adversary model and potential attack scenarios. Two theoretical concepts of automated road congestion alarm systems (including system architecture, communication protocol, and algorithms) are proposed on top of ATCSs, such as SCATS, SCOOT and InSync, by incorporating secure wireless vehicle-to-infrastructure (V2I) communications. Finally, the security properties of the proposed system have been discussed and analysed using the ProVerif protocol verification tool.

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