Anomaly analysis and visualization for dynamic networks through spatiotemporal graph segmentations

Liao, Qi; Li, Ting; Blakely, Benjamin

doi:10.1016/j.jnca.2018.09.016

Cited by 6 publications

(2 citation statements)

References 22 publications

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“…Liao et al 69 have developed the DNAV anomaly analysis. They have also developed tools for the visualization of networks that are dynamic in nature by using spatiotemporal graph segmentation, which is efficient in analyzing the time and location at which the anomaly occurs in the nodes and edges of dynamic networks.…”

Section: Dynamicitymentioning

confidence: 99%

An extensive review of data security infrastructure and legislature

Bhavnani

Bardia

Modi

et al. 2021

Security and Privacy

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The last few decades have witnessed technology progress with leaps and bounds leading to the creation and global adoption of different types of digital devices and platforms that can make personalized recommendations to an individual. One of the consequences of the ubiquity of these devices is the daily generation of data in large quantities. This data includes the sensitive data of an individual as well as multinational organizations and therefore, it must be always kept confidential to prevent its theft and misuse by malicious parties. However, the large volumes of data generated make it difficult to create a robust security solution to safeguard the data from different types of cyberattacks. The paper contributes to the data security industry by consolidating numerous data security algorithms that change with the infrastructure that the data is amid and also outlines the regulations surrounding it. This review paper also aims to highlight the benefits and drawbacks of the security algorithms proposed by researchers to encourage further discussion and consideration of the algorithms for their potential implementation in appropriate domains and also inspire them to develop more powerful and robust security algorithms to cover the drawbacks of the existing ones.

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Section: Dynamicitymentioning

confidence: 99%

An extensive review of data security infrastructure and legislature

Bhavnani

Bardia

Modi

et al. 2021

Security and Privacy

View full text Add to dashboard Cite

show abstract

“…Several approaches have been proposed for detecting a variety of phenomena (e.g., anomalies) in these networks [9]. The study of Liao et al [10] proposed a tool for investigating anomalies in dynamic networks. The tool uses the spatial and temporal dimensions of network nodes to analyse anomalies.…”

Section: Introductionmentioning

confidence: 99%

Privacy Issue: From Static to Dynamic Online Social Networks

Alanezi

Mahmood

2022

cai

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Today's societies have become more dependent on social networks in terms of communications and interactions. These networks contain most of the people's activities, which can be public or even personal events. In the last decade, social networks have turned into more prominent platforms in managing and organizing public events. The Egyptian revolution in 2011 and the Ukrainian revolution in 2014 are good reflections of such events. However, it is not known how much the privacy issue of users is revealed in the reality as a consequence of their online interactions. In this work, we investigate the privacy issue in online social networks and its reflection on real life. Our dataset was extracted from the Facebook groups/pages that were involved in the 2019 Iraqi October revolution. Our approach generates a static network using the collected dataset. Then, we investigate the generated static network in terms of detecting potential anomalies. After that, we project the static network (including its characteristics) into a dynamic environment and generate a dynamic network for investigating the privacy issue in the real life. The contribution of this work lies in projecting a real-world static network into a dynamic environment aiming at investigating users' privacy in the real world. Finally, this kind of approach has not been given enough attention in the literature and it is therefore deeply investigated in this article.

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Network Security Strategies in Big Data Context

Alaoui

Gahi

2020

Procedia Computer Science

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Anomaly analysis and visualization for dynamic networks through spatiotemporal graph segmentations

Cited by 6 publications

References 22 publications

An extensive review of data security infrastructure and legislature

An extensive review of data security infrastructure and legislature

Privacy Issue: From Static to Dynamic Online Social Networks

Network Security Strategies in Big Data Context

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