Big Data Security Management Countermeasures in the Prevention and Control of Computer Network Crime

Wang, Honggang

doi:10.4018/jgim.295450

Cited by 8 publications

(2 citation statements)

References 31 publications

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“…Knowledge sharing is crucial in maximizing employee awareness and is an important indication of IS involvement. It provides real-time problem-solving and reduces the wasted effort, time, and cost associated with replicating the same solutions for similar problems (Wang, 2022;Żywiołek et al, 2021). However, Pham et al (2021) found that many participants did not see IS knowledge sharing with peers as necessary.…”

Section: Information Security Knowledge Sharingmentioning

confidence: 99%

Enforcing Information System Security

Almuqrin,

Mutambik,

Alomran

et al. 2023

International Journal on Semantic Web and Information Systems

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Every year brings numerous security breaches that lead to highly destructive ransomware attacks, data leaks, and reputational damage to governments, companies, and other organizations around the world. As a result, there is a growing need to ensure that workers comply with critical policies put in place to avoid such incidents. This study investigated how factors from social bond theory and involvement theory affected compliance with information security policies and procedures. All of the factors examined were found to have a significant influence on attitudes about compliance, and attitude had a significant impact on intention to comply. The findings of this study revealed that it is vital to raise employees' awareness about compliance with security policies by improving their information security behavior. Moreover, all the factors were found to have a significant influence on the attitude of employees towards compliance with their organizational information security policies and procedures.

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Section: Information Security Knowledge Sharingmentioning

confidence: 99%

Enforcing Information System Security

Almuqrin,

Mutambik,

Alomran

et al. 2023

International Journal on Semantic Web and Information Systems

View full text Add to dashboard Cite

show abstract

“…Research has shown that securing centralized databases is a costly and challenging task for most organizations (Ngwenyama et al, 2021;Wang, 2021). Due to paucity of appropriate security mechanisms, it is common for personal information stored in central databases to get compromised through security breaches.…”

Section: Introductionmentioning

confidence: 99%

Decentralized Identity Management Using Blockchain

Singla

Gupta

Aeron

et al. 2022

Journal of Global Information Management

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This article explores the usage of decentralised identity (DID) management using blockchain in global organisations to support secure usage of information resources. Blockchain as technology was initially introduced as a cryptocurrency and there have been challenges in its adoption for enterprise applications such as identity management. DID is emerging as one of the strong blockchain adoption use cases. Industry pioneers and users across domains have started exploring DID use cases, which help better protect their personal data and application access control as compared to traditional, central, or federated identity management models. In this exploratory work, the authors employ qualitative secondary case-based study research methodology to understand the challenges of the current digital identity management landscape and explore the possible benefits of DID as an emerging identity management paradigm. They propose a conceptual cube framework for analysing and studying various DID platforms thereby contributing to both the theory and practice of digitally secure identity.

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A novel MADM technique based on projection methods under q-rung orthopair fuzzy setting and its application to computer network security evaluation

Qiao

2023

IFS

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Computer network security evaluation is a basic work to determine the security performance of the network system and implement the network security management. It involves organizational management, network technology, personnel psychology, social environment and other factors. In recent years, with the rapid development of information technology in China, the problem of computer network security has become increasingly prominent. Although domestic and foreign scholars have sought effective methods of network security evaluation from different aspects and using different methods, many factors involved in network security are difficult to quantify, so far, there is no relatively mature quantitative evaluation method of network security. The computer network security evaluation is classical multiple attribute decision making (MADM) problems. In this article, based on projection measure, we shall introduce the projection models with q-rung orthopair fuzzy information. First of all, the definition of q-rung orthopair fuzzy sets (q-ROFSs) is introduced. In addition, to fuse overall q-rung orthopair fuzzy evaluation information, two aggregation operators including q-ROFWA and q-ROFWG operators is introduced. Furthermore, combine projection with q-ROFSs, we develop the projection models with q-rung orthopair fuzzy information. Based on developed weighted projection models, the multiple attribute decision making model is established and all computing steps are simply depicted. Finally, a numerical example for computer network security evaluation is given to illustrate this new model and some comparisons between the new proposed models and q-ROFWA and q-ROFWG operators are also conducted to illustrate advantages of the new built method.

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Big Data Security Management Countermeasures in the Prevention and Control of Computer Network Crime

Cited by 8 publications

References 31 publications

Enforcing Information System Security

Enforcing Information System Security

Decentralized Identity Management Using Blockchain

A novel MADM technique based on projection methods under q-rung orthopair fuzzy setting and its application to computer network security evaluation

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