Can Trust be Trusted in Cybersecurity?

Pienta, Daniel A.; Tams, Stefan; Thatcher, Jason Bennett

doi:10.24251/hicss.2020.522

Cited by 8 publications

(2 citation statements)

References 47 publications

(92 reference statements)

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“…Consequently, organisations must be attentive to what the stakeholders mention about them in social media. Cybersecurity issues could impact an organisation's reputation (Ursillo & Arnold, 2019), while at the same time, the cybersecurity function can help to mitigate cybersecurity threats (Pienta et al, 2020). Cyberattacks can ruin an organisation's reputation (Perera et al, 2022).…”

Section: Organisation Reputation Riskmentioning

confidence: 99%

The Impact of Social Media Usage on the Organisation’s Reputation Risk through its Cybersecurity

Maskuri¹,

Othman²,

Osman³

et al. 2023

IJARBSS

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The utilisation of social media among organisations is growing tremendously and is seen to be moving forward in line with the rapidly evolving technology in Malaysia. It is inevitable that social media not only provides benefits to organisations but also exposes organisations to various risks. Local organisations often get public attention when an issue related to the organisation goes viral on social media, exposing them to reputation risk and eventually affecting their reputation. Changes in the reputation of organisations affect relationships with their stakeholders. Most organisations today are aware of the importance of using social media. Despite the beneficial usage of social media, organisations encounter social media risks that require attention and must be catered to wisely. Due to the vulnerability of social media, there is a high possibility of being attacked, which indicates the need for effective cybersecurity in organisations. The aim of this conceptual paper is to discuss the relationship between social media usage and organisation's reputation risk, in which organisation's cybersecurity is predictably act as a mediator in the relationship between the variables.

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Section: Organisation Reputation Riskmentioning

confidence: 99%

The Impact of Social Media Usage on the Organisation’s Reputation Risk through its Cybersecurity

Maskuri¹,

Othman²,

Osman³

et al. 2023

IJARBSS

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“…Trust management in cyber-security is based on the relationships between these peers including (1) people and groups, (2) people and organizations, (3) organizations, and (4) people and technology. Each of these trusting peers can deploy cyber-security countermeasures that an individual can rely on to prevent and defend against cyber-attacks [1].…”

Section: Introductionmentioning

confidence: 99%

Explainable Artificial Intelligence (XAI) to Enhance Trust Management in Intrusion Detection Systems Using Decision Tree Model

et al. 2021

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Despite the growing popularity of machine learning models in the cyber-security applications (e.g., an intrusion detection system (IDS)), most of these models are perceived as a black-box. The eXplainable Artificial Intelligence (XAI) has become increasingly important to interpret the machine learning models to enhance trust management by allowing human experts to understand the underlying data evidence and causal reasoning. According to IDS, the critical role of trust management is to understand the impact of the malicious data to detect any intrusion in the system. The previous studies focused more on the accuracy of the various classification algorithms for trust in IDS. They do not often provide insights into their behavior and reasoning provided by the sophisticated algorithm. Therefore, in this paper, we have addressed XAI concept to enhance trust management by exploring the decision tree model in the area of IDS. We use simple decision tree algorithms that can be easily read and even resemble a human approach to decision-making by splitting the choice into many small subchoices for IDS. We experimented with this approach by extracting rules in a widely used KDD benchmark dataset. We also compared the accuracy of the decision tree approach with the other state-of-the-art algorithms.

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