Cover-VT: Converged Security Visualization Tool

Urbanski, William; Dunlop, Matthew; Marchany, Randy; Tront, Joseph G.

doi:10.1109/inm.2011.5990663

Cited by 3 publications

(1 citation statement)

References 9 publications

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“…While previous research [7], [8] focused on visualization through shape among various visualization elements, this study focused on recognition of security elements and threats.…”

Section: Study On Security Log Visualization and Security Threat Detementioning

confidence: 99%

Data Leakage Detection System based on Deep Learning

Seo¹

2016

IJRIA

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As the threat of data leakage by internal employee increases, the enterprises are applying security solutions such as Data Loss Prevention (DLP) and Digital Rights Management (DRM) to prevent data leakage. However, since data leakage method also become more diverse, it makes more difficult to preventing data leakage. In this paper, we proposed the method to detecting the data leakage by monitoring working activities of inter employee through the security log. The proposed method draw graph using the security log collected from the behavior of internal employee using data leakage scenario and detects whether the data is leaked through the deep learning algorithm which shows excellent performance in processing large data. Proposed method shows 95% accuracy regardless of leaked data size. Also, proposed method shows 97% accuracy regardless of the number of attempts to obtain data.

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“…While previous research [7], [8] focused on visualization through shape among various visualization elements, this study focused on recognition of security elements and threats.…”

Section: Study On Security Log Visualization and Security Threat Detementioning

confidence: 99%

Data Leakage Detection System based on Deep Learning

Seo¹

2016

IJRIA

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A Survey on Information Visualization for Network and Service Management

Guimaraes

Freitas

Sadre

et al. 2016

IEEE Commun. Surv. Tutorials

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Network and service management encompasses a set of activities, methods, procedures, and tools whose ultimate goal is to guarantee the proper functioning of a networked system. Computational tools are essential to help network administrators in their daily tasks, and information visualization techniques are of great value in such context. In essence, information visualization techniques associated to visual analytics aim at facilitating the tasks of network administrators in the process of monitoring and maintaining the network health. This paper surveys the use of information visualization techniques as a tool to support the network and service management process. Through a Systematic Literature Review (SLR), we provide a historical overview and discuss the current state of the art in the field. We present a classification of 285 articles and papers from 1985 to 2013, according to an information visualization taxonomy as well as a network and service management taxonomy. Finally, we point out future research directions and opportunities regarding the use of information visualization in network and service management.Taking into account the example mentioned above, [15] and [17] are examples of articles/papers that match with the research goal. Thus, they are stored and cataloged, and their references are verified. In the analysis of the references of [15], for example, we found the work of Koike et al. "Visualizing cyber attacks using IP matrix" [19]. On the other hand, [16] is an example of a work that was discarded after the analysis of the abstract and keywords (i.e., the second step of filtering).Once finished the search process, a set of 374 articles and papers remained selected. These publications are from a time interval ranging from 1985 to 2013.

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Study on security log visualization and security threat detection using RGB Palette

Lee¹,

Kim

2015

Journal of the Korea Institute of Information Security and Cryp

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In order to respond quickly to security threats that are increasing fast and variously, security control personnel needs to understand the threat of a massive amount of logs generated from security devices such as firewalls and IDS. However, due to the limitations of the information processing capability of humans, it takes a lot of time to analyze the vast amount of security logs. As a result, there is problem that the detection and response of security threats are delayed. Visualization technique is an effective way to solve this problem. This paper visualizes the security log using the RGB Palette, offering a quick and effective way to know whether the security threat is occurred. And it was applied empirically in VAST Challenge 2012 dataset.

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Cover-VT: Converged Security Visualization Tool

Cited by 3 publications

References 9 publications

Data Leakage Detection System based on Deep Learning

Data Leakage Detection System based on Deep Learning

A Survey on Information Visualization for Network and Service Management

Study on security log visualization and security threat detection using RGB Palette

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