Collection of datasets with DNS over HTTPS traffic

Jeřábek, Kamil; Hynek, Karel; Čejka, Tomáš; Ryšavý, Ondřej

doi:10.1016/j.dib.2022.108310

Cited by 13 publications

(5 citation statements)

References 14 publications

(17 reference statements)

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“…That was why we needed to take action quite rapidly, and there was not much time to prepare the methodology of data collection. We collected data when people were interested because it was “a topic of today.” We see this project as an opportunity for using the same methodological approach as the researchers in 2001 used ( Jerabek and Veisova, 2001 ).…”

Section: Methodsmentioning

confidence: 99%

Predictors of depression: lifestyle choices during the pandemic

Tesarova,

Pekacek,

Porrovecchio

2023

Front. Psychol.

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Our study intends to specify the impact of the singular pandemic stressors on the population and also quantify the contribution of different predictors of depression; some of them are stronger than others, and this research shows how the whole effect is divided into single items. This research included a structured online survey using data from 11,340 respondents from six European countries during the first months of the pandemic. The statistical analysis focused on how behavioural patterns appear in different groups of the population and how they mark the psychological wellbeing of these groups with regard to various factors. We targeted social media’s role and analyzed the impact of its consumption on symptoms of depression in different groups divided by age and other characteristics. The analysis creates a mosaic of lifestyle choices and other characteristics that manifest different effects on depression inside selected groups whereas several groups generated by the cluster analysis are less vulnerable to their effect than others. Regarding our findings, the perceived reality through information sources and the manner of their processing seems to be more significant than the tangible reality (poor self-reported health correlated with depression more strongly than intrinsic health limitations).

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Section: Methodsmentioning

confidence: 99%

Predictors of depression: lifestyle choices during the pandemic

Tesarova,

Pekacek,

Porrovecchio

2023

Front. Psychol.

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“…Comprising approximately 2.8 million instances, each representing an individual network connection, the dataset offers a diverse set of features to describe the network traffic data. With 80 attributes for each instance, the features cover various aspects, including source and destination IP addresses, port numbers, transport protocols, flow duration, and total bytes transferred [53]. This comprehensive set of features enhances the dataset's ability to represent complex and dynamic network behaviors.…”

Section: Cicids 2017mentioning

confidence: 99%

From Bytes to Insights: A Systematic Literature Review on Unraveling IDS Datasets for Enhanced Cybersecurity Understanding

Khanan,

Abdelgadir Mohamed,

Mohamed

et al. 2024

IEEE Access

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In the wake of the expanding digital realm, the imperative for robust cybersecurity measures has burgeoned significantly. This extensive investigation digs into the complicated realm of cybersecurity datasets, with the goal of improving our understanding and implementation of these critical tools. This study's comprehensive evaluation of 37 distinct datasets shows a complicated world in which no one dataset stands out as totally suitable for all uses. A precise balance must be struck between crucial dataset qualities such as diversity, authenticity, and usefulness. Using a complete assessment technique, this paper illuminates the challenges and possibilities that developers and researchers face in the field of cybersecurity datasets. Although some databases accurately identify certain forms of cyberattacks, their coverage may not include the whole range of cyber threats. On the other hand, datasets with a strong emphasis on accurate portrayal may forgo comprehensiveness or practical use. This intricacy is heightened by the dynamic and sophisticated nature of cyber threats, emphasizing the delicate balance required between accuracy and practicality. The study emphasizes the necessity of selecting datasets strategically and contextually for cybersecurity studies, with the goal of matching research objectives with the most appropriate dataset selections. Furthermore, it emphasizes the need of continual cooperation and innovation within the cybersecurity community in developing datasets that accurately represent the ever-changing nature of cyber threats. After analyzing 37 cybersecurity datasets, it is obvious that no one dataset can meet all of the field's unique demands, demonstrating the need of a flexible, adaptable, and developing dataset for intrusion detection systems (IDS). This inquiry offers a critical assessment of dataset characteristics and their related issues, providing essential insights for academics, professionals, and dataset creators, enabling the construction of a more resilient and adaptable cybersecurity infrastructure.

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“…DoH has developed into a research area for network monitoring as it gets more widely used. Real-world datasets are required for a thorough evaluation and comparison of the produced classifiers, which is what motivated our contribution [38].…”

Section: Recommendationsmentioning

confidence: 99%

The Reality of Internet Infrastructure and Services Defacement: A Second Look at Characterizing Web-Based Vulnerabilities

et al. 2023

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In recent years, the number of people using the Internet has increased worldwide, and the use of web applications in many areas of daily life, such as education, healthcare, finance, and entertainment, has also increased. On the other hand, there has been an increase in the number of web application security issues that directly compromise the confidentiality, availability, and integrity of data. One of the most widespread web problems is defacement. In this research, we focus on the vulnerabilities detected on the websites previously exploited and distorted by attackers, and we show the vulnerabilities discovered by the most popular scanning tools, such as OWASP ZAP, Burp Suite, and Nikto, depending on the risk from the highest to the lowest. First, we scan 1000 URLs of defaced websites by using three web application assessment tools (OWASP ZAP, Burp Suite, and Nikto) to detect vulnerabilities which should be taken care of and avoided when building and structuring websites. Then, we compare these tools based on their performance, scanning time, the names and number of vulnerabilities, and the severity of their impact (high, medium, low). Our results show that Burp Suite Professional has the highest number of vulnerabilities, while Nikto has the highest scanning speed. Additionally, the OWASP ZAP tool is shown to have medium- and low-level alerts, but no high-level alerts. Moreover, we detail the best and worst uses of these tools. Furthermore, we discuss the concept of Domain Name System (DNS), how it can be attacked in the most common ways, such as poisoning, DDOS, and DOS, and link it to our topic on the basis of the importance of its infrastructure and how it can be the cause of hacking and distorting sites. Moreover, we introduce the tools used for DNS monitoring. Finally, we give recommendations about the importance of security in the community and for programmers and application developers. Some of them do not have enough knowledge about security, which allow vulnerabilities to occur.

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Collection of datasets with DNS over HTTPS traffic

Cited by 13 publications

References 14 publications

Predictors of depression: lifestyle choices during the pandemic

Predictors of depression: lifestyle choices during the pandemic

From Bytes to Insights: A Systematic Literature Review on Unraveling IDS Datasets for Enhanced Cybersecurity Understanding

The Reality of Internet Infrastructure and Services Defacement: A Second Look at Characterizing Web-Based Vulnerabilities

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