Information visualisation methods and techniques: State-of-the-art and future directions

Shen, Haifeng; Bednarz, Tomasz; Nguyen, Huyen; Feng, Frank; Wyeld, Theodor; Hoek, Peter J.; Lo, Edward H. S.

doi:10.1016/j.jii.2019.07.003

Cited by 22 publications

(21 citation statements)

References 57 publications

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“…Notwithstanding, the authors did not consider, in-depth, visualization techniques and tools used during analysis of the security logs generated from Honeypot sensors. Furthermore, we identified related survey papers published in other research fields, such as in visualization [2] [11] [44] [45] [46], network anomaly detection [12] [47] [48] [49], and data preprocessing and dimensionality reduction [13] [14] [25] [50]. However, these papers and their likes generally present a broad overview of visualization and data analysis topics such as tools, methods, techniques, pipelines, frameworks, and applications, and are therefore not specific to Honeypot data analysis and visualization.…”

Section: Related Survey Studiesmentioning

confidence: 99%

“…[49] and have properties such as temporal, tabular, topological, spatial, high-dimensional, tree, etc. [12] [46] and can be classified into three applied visualization tasks namely, detection and identification, correlation and classification, and awareness and assessment. Network alerts are typically generated to the security analyst in the form of messages in response to detected network attack patterns and/or anomalous traffic [55].…”

Section: Related Survey Studiesmentioning

confidence: 99%

“…The authors suggested steps for transforming raw data into visual objects such as: mapping to a geometric shape, laying out of visual objects, conveying all data attributes visually, addition of interactive options, and rendering considerations of visual objects on view [2] [11]. Authors further suggested representative perceptual visualizations techniques as use of: different shapes, to information about convey different objects, different object sizes to indicate level of importance or value in relation to others, different colors in leu of different shapes, different depths to illustrate rising or reducing rate, addition of textures, using different opacities, and the use of appropriate labelling of visual objects [46]. Authors also highlighted different sets of 2D and 3D interactive techniques such as filtering zooming, glossing, panning, rotation, scaling and lightening [2].…”

Section: Related Survey Studiesmentioning

confidence: 99%

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Systematic Review of Graphical Visual Methods in Honeypot Attack Data Analysis

Ikuomenisan¹,

Morgan²

2022

JIS

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Mitigating increasing cyberattack incidents may require strategies such as reinforcing organizations' networks with Honeypots and effectively analyzing attack traffic for detection of zero-day attacks and vulnerabilities. To effectively detect and mitigate cyberattacks, both computerized and visual analyses are typically required. However, most security analysts are not adequately trained in visualization principles and/or methods, which is required for effective visual perception of useful attack information hidden in attack data. Additionally, Honeypot has proven useful in cyberattack research, but no studies have comprehensively investigated visualization practices in the field. In this paper, we reviewed visualization practices and methods commonly used in the discovery and communication of attack patterns based on Honeypot network traffic data. Using the PRISMA methodology, we identified and screened 218 papers and evaluated only 37 papers having a high impact. Most Honeypot papers conducted summary statistics of Honeypot data based on static data metrics such as IP address, port, and packet size. They visually analyzed Honeypot attack data using simple graphical methods (such as line, bar, and pie charts) that tend to hide useful attack information. Furthermore, only a few papers conducted extended attack analysis, and commonly visualized attack data using scatter and linear plots. Papers rarely included simple yet sophisticated graphical methods, such as box plots and histograms, which allow for critical evaluation of analysis results. While a significant number of automated visualization tools have incorporated visualization standards by default, the construction of effective and expressive graphical methods for easy pattern discovery and explainable insights still requires applied knowledge and skill of visualization principles and tools, and occasionally, an interdisciplinary collaboration with peers. We, therefore, suggest the need, going forward, for non-classical graphical methods for visualizing attack patterns and communicating analysis results. We also recommend training investigators in How to cite this paper: Ikuomenisan, G.

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Section: Related Survey Studiesmentioning

confidence: 99%

Section: Related Survey Studiesmentioning

confidence: 99%

Section: Related Survey Studiesmentioning

confidence: 99%

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Systematic Review of Graphical Visual Methods in Honeypot Attack Data Analysis

Ikuomenisan¹,

Morgan²

2022

JIS

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“…As a result, digital art is a disciplinary synthesis of natural, social, technological, and humanistic disciplines and is a new type of discipline in which digital technology and art intersect. Considering the mass art, reproducible and commercial nature of digital art has accelerated the spread of digital art and has led to a trend towards the visualisation and graphicisation of art and culture in the direction of popularisation [13].…”

Section: Introductionmentioning

confidence: 99%

Digital Art Design Effectiveness Model System Based on K-Medoids Algorithm

Luo

2022

Advances in Multimedia

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With the development of the times, figurative expressions no longer meet the creative needs of artists and the aesthetic demands of the people. In order to express art in a more profound way, the perfect use of abstract graphics plays a crucial role in the success of the work. In recent years, there has been a surge in the creation of digital art, but there is relatively little theoretical literature on the combination of abstract graphics as a visual language and digital art. In addition, research on the theoretical aspects of digital art design is also relatively weak, so it is essential to analyse the formal aesthetics and innovative applications. In fact, digital art design has a very important role to play in promoting the development of creative cultural industries. In other words, the healthy development of digital art design can influence the future prospects of a country’s creative and cultural industries. Digital art design is an integrated and complex production process and labour outcome. In addition to its human, aesthetic, and social value, digital art also has an economic value. Digital art is a new art form that combines digital technology and artistic aesthetics. As such, digital art is characterised by high technology, diverse forms, popularised art, and the advantages of high communication, interactivity, and influence, which can provide more assistance for the innovation and application of abstract graphics. Digital art is multifaceted and has an artistic expression that cannot be matched by other forms of technology. Abstract graphics, driven by digital art, are full of novelty and interest and can greatly enrich people’s emotions and senses. Abstract graphics bring the experience of digital art to its fullest potential. The combination of digital art and abstract graphics offers more innovation and possibilities for the development of art and will bring great prosperity to art communication. With the widespread use of computer and network technology, the Internet has developed rapidly. In this context, digital art, as art created in a digital way and concept, has gained widespread attention. As a result, how to integrate existing computer resources in the new environment to build a model of digital art design effectiveness will cause a direct influence on the quality of digital art design with digital content innovation as the core. At the same time, as digital art becomes more and more popular, the demand for digital talents becomes very urgent. As a result, the cultivation of high-quality digital talents has become a major concern for society. Therefore, in order to explore the success of digital art design and the cultivation of digital art talents, and to better serve the innovation of digital art, this paper proposes a digital art effectiveness model based on the K-medoids algorithm. This model can provide a deeper and more comprehensive understanding of digital art and abstract graphics and provide theoretical support for professional design creation.

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“…It describes a product holistically with (1) domain-specific application models. It demands cohesive communication in the (2) supply chain based on CAx data streams with partners, in joint ventures and across factory plants [8]. It finally realizes (3) a fusion between up and downstream in the entire lifecycle, where digital aspects of the product solely are used as engineering, manufacturing and service bridges [6].…”

Section: Introductionmentioning

confidence: 99%

Robust CAD Modelling: Concepts and Principles for Industrial Applications

Ostrosi

Stjepandić²,

Tomasić³

2020

Advances in Transdisciplinary Engineering

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During product design, when many design aspects still must be understood by the design team, it is necessary to apply robust modelling approaches in order to describe the properties of the product according to the functional requirements, employing CAD system. High sensitivity to change of a CAD model can lead to unstable and unpredictable model behaviour which hinders the daily work of engineers and causes significant rework in downstream stages. Engineers need a methodology which enables them to evaluate and reduce the geometrical sensitivity of a product assembly, what the sources of variation are, their importance for the overall robustness and in what order to improve the overall design. Robustness is meant that the model structure is adjusted to react less sensitive to changes in design and model update. Robust CAD models are suitable for both downstream processes and collaboration. In this paper, we illuminate the background of CAD modelling and introduce the term robust modelling for the industrial purpose. We highlight the specific needs and expectations of the manufacturing industry. In a practical study, the application of robust modelling is shown in the design of complex machines.

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Information visualisation methods and techniques: State-of-the-art and future directions

Cited by 22 publications

References 57 publications

Systematic Review of Graphical Visual Methods in Honeypot Attack Data Analysis

Systematic Review of Graphical Visual Methods in Honeypot Attack Data Analysis

Digital Art Design Effectiveness Model System Based on K-Medoids Algorithm

Robust CAD Modelling: Concepts and Principles for Industrial Applications

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