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552 results for “Security”
Dataset: SMX (Security Matters) Public Limited Company (SMX) Stock Performance
This dataset provides historical stock market performance data for specific companies. It enables users to analyze and understand the past trends and fluctuations in stock prices over time. This information can be utilized for various purposes such as investment analysis, financial research, and market trend forecasting.
Dataset: Security National Financial Corporation (SNFCA) Stock Performance
This dataset provides historical stock market performance data for specific companies. It enables users to analyze and understand the past trends and fluctuations in stock prices over time. This information can be utilized for various purposes such as investment analysis, financial research, and market trend forecasting.
Dataset: iShares Preferred and Income Securities ETF (PFF) Stock Performance
This dataset provides historical stock market performance data for specific companies. It enables users to analyze and understand the past trends and fluctuations in stock prices over time. This information can be utilized for various purposes such as investment analysis, financial research, and market trend forecasting.
Dataset: Napco Security Technologies, Inc. (NSSC) Stock Performance
This dataset provides historical stock market performance data for specific companies. It enables users to analyze and understand the past trends and fluctuations in stock prices over time. This information can be utilized for various purposes such as investment analysis, financial research, and market trend forecasting.
Dataset: National Security Emerging Markets Index ETF (NSI) Stock Performance
This dataset provides historical stock market performance data for specific companies. It enables users to analyze and understand the past trends and fluctuations in stock prices over time. This information can be utilized for various purposes such as investment analysis, financial research, and market trend forecasting.
Dataset: Kratos Defense & Security Solutions, Inc. (KTOS) Stock Performance
This dataset provides historical stock market performance data for specific companies. It enables users to analyze and understand the past trends and fluctuations in stock prices over time. This information can be utilized for various purposes such as investment analysis, financial research, and market trend forecasting.
Dataset: HUB Cyber Security Ltd. (HUBCZ) Stock Performance
This dataset provides historical stock market performance data for specific companies. It enables users to analyze and understand the past trends and fluctuations in stock prices over time. This information can be utilized for various purposes such as investment analysis, financial research, and market trend forecasting.
Dataset: HUB Cyber Security Ltd. (HUBCW) Stock Performance
This dataset provides historical stock market performance data for specific companies. It enables users to analyze and understand the past trends and fluctuations in stock prices over time. This information can be utilized for various purposes such as investment analysis, financial research, and market trend forecasting.
Dataset: HUB Cyber Security Ltd. (HUBC) Stock Performance
This dataset provides historical stock market performance data for specific companies. It enables users to analyze and understand the past trends and fluctuations in stock prices over time. This information can be utilized for various purposes such as investment analysis, financial research, and market trend forecasting.
Q5. Do you believe that the internet can be used with antisocial purpose?-Computer-Mediated Security Threats into the Web 2.0 Society
<p>With a median value of 7 it is obvious that a large part of the sample consider that the Internet can be used in a consistent manner for various antisocial purposes (59.3% evaluated this risk above 7). Even if this is a subjective evaluation, the focusing of answers on the high part of the scale confirms the relevance of this topic. Once again, without a direct experience in the security issues, the users that have answered to the questionnaire recognize that in the digital world can be infiltrated people, contents, information, actions, and applications with less ethical intentions.</p>
Q3. To what extent that information from the Internet should be censored?-Computer-Mediated Security Threats into the Web 2.0 Society
<p>Following this distribution, we can observe that a large part of the subjects (44,7%) consider that the information from the internet should be moderately censored (against various risks and social dangerous). Beside them, 26.6% evaluate that this process should be wider, and 28.7% think it should be lower. These two almost equal groups consolidate the central trend, and reflect a quite important worry concerning this perspective. The Internet has begun as an almost totally free of control medium, a quasi-anarchic structure, a symbol for the freedom of expression for any users. In time, it has become more and more accessible, and a large amount of information has become available inside the Info-sphere. Now, due to some negative consequences, it looks like starting to censure some information is not a prohibitive idea anymore, but rather a desirable one. We want to stress on the fact that the sample was formed by regular users that are not experts in security issues and thus, the recognizing of the importance of having a moderate censuring onto the Internet is a very significant conclusion. With an indirect connection to the previous item, the next question has directly approached a special topic related to the user’s knowledge about the dark web and/or deep web. These represent a quite particularly topic among the Internet users, and represent an area where the IP tracking is difficult or not-possible. Into this kind of sites and applications any user can remain anonymous, no matter what he/she does, posts or accesses.</p>
Q2. How did you evaluate the following statements?-Computer-Mediated Security Threats into the Web 2.0 Society
<p>Following these results we can conclude that 86.2% of the subjects consider that on the Internet can be found any information, but half of them (45.4%) are not so sure on the quality of this information, and this mostly because a lot of information from the Internet is contradictory for 73.4% from subjects. It is very interesting that, despite this high informative profile of the Internet, a quite high level of users (73.4%) appreciate that some information shouldn’t be found on the Internet. Without getting into details, from distributions can be extracted a soft conclusion, that too much information can be used for negative behaviors and actions. Even if they are posted with a non-violent intention, some contents can be used for various dangerous acts, mainly because of their inconsequence toward reality. Nowadays, there are quite few key words that do not generate into the search engine booth type of answers, pros and cons. From buying electronic gadgets to various politicians, public figures or health care, it is very easy to find contradictory information about them. Thus it remains on the experience of the user and on him/her capacity to discern the true from all these irrelevant contents.</p>
Q1. How do you assess the evolution of the Internet in the last 5 years?-Computer-Mediated Security Threats into the Web 2.0 Society
<p>The answers at this question indicated a quasi-total trend of increasing into the evolution of the Internet during the last 5 years (96% for “increased” and “high increased”) with a median value of 5 (corresponding to “high increased”). This public perception is strictly related to the current developing of the Internet applications, utilizations and related behaviors. In accordance with the above theoretical framework can be expected that this extensive evolution will include soon or later various antisocial content and negative manifestation. This is not a compulsory trend but only a natural extension, after the digitalization of almost all regular domains (education, mass-media, transportation, health, public administration, government, culture and so on) the areas of human manifestations that are at the law limits or beyond these will become on-line. At this moment the extension of the Internet is a quite solid fact.</p>
Q4. Have you heard about dark/deep web?-Computer-Mediated Security Threats into the Web 2.0 Society
<p>Around two thirds of the respondents have not heard about dark/deep web. This is not necessary unusual, since the dark/web is usually associated with illicit activities, and is not regularly promoted into the virtual space. On one hand, the lack of information concerning this sensible topic can expose innocent users to various risks related to their presence, identity, private life, all exposed on the Internet. On the other hand, the dark/deep web trend is to cumulate all negative persons, contents, actions, and applications against the personal and public security. If a regular user does not know about these potential risks, he/her might become more vulnerable to the direct threats.</p>
List of European Security and Defence Policy / Common Security and Defence Policy Missions 1991-2017
<p>List of European Security and Defence Policy / Common Security and Defence Policy Missions 1991-2017</p>
On the Relationship between Software Security and Energy Consumption - Dataset
<p>The dataset for estimating the Relationship between Software Security and Energy Consumption described in Siavvas, Miltiadis, Marantos, Charalampos, Papadopoulos, Lazaros, Kehagias, Dionysios, Soudris, Dimitrios, & Tzovaras, Dimitrios. (2019). On the Relationship between Software Security and Energy Consumption (Version 1.0).</p>
Dependabot and Security Pull Requests
<p>This deposit contains four (4) main datasets that were used in the study "<em>Dependabot and Security Pull Requests: Large Empirical Study</em>" (<a href="https://doi.org/10.1007/s10664-024-10523-y" target="_blank" rel="noopener">Link</a>). Each dataset is described as follows :</p> <ol> <li><strong>Dataset (1) - Dependency Update</strong> : This dataset concerns issues related to pull requests (PRs) that were created by both users and bots to manage dependency updates in GitHub projects. The search was based on the keywords "Dependency, Update" in the title, body or comment of a PR created in the time period between 26/05/2017 and 15/06/2021 for the 1st partition, and between 01/01/2023 and 30/09/2023 for the 2nd partition. We obtained a total of 6,573,489 PR-related issues belonging to a total of 927,007 repositories for partition (1); and for partition (2), we obtained a total of 3,342,829 PR-related issues belonging to a total of 816,028 repositories.</li> <li><strong>Dataset (2) - Dependabot Security PRs</strong> : The second dataset is related to PRs created by Dependabot to handle security vulnerabilities in project dependencies. In our search, we look for PR-related issues created by "Dependabot-preview" or "Dependabot" and with the label "security", also created during the time period between 26/05/2017 and 30/09/2023. With these parameters, our results consist of 422,388 issues from 47,987 repositories.</li> <li><strong>Dataset (3) - Manual Security PRs</strong> : For this dataset, we were interested in PRs created only by users to handle security vulnerabilities. The search consists of finding the keywords "Dependency, Vulnerable" in the title, body or comment of a PR created in the time period between 26/05/2017 and 30/09/2023. We only consider pull requests created by authors with the type "user". The final results include a total of 186,186 issues for 60,758 repositories.</li> <li><strong>Dataset (4) - Bots' Security PRs</strong> : This dataset is related to PRs created by several bots to handle security vulnerabilities in project dependencies. In the search query, we look for PR-related issues where the keywords "Dependency", and "Security", and "Vulnerability" are mentioned in the title, body, or comment of the PR. These PRs are created by one of the following bots: "Snyk", "Renovate", "Greenkeeper", or "Depfu", also created during the time period between 26/05/2017 and 30/09/2023. The obtained results for the 4 bots consists of a collection of 628,495 PR-related issues in a total of 105,342 repositories.</li> </ol> <p>We also included :</p> <ul> <li><strong>Derived Sample</strong> : This sample contains the data that was selected and extracted to conduct our manual qualitative analysis, and the manual feature extraction.</li> </ul>
Lab Study Dataset: Fast and Secure Contact Exchange in Groups
<p>This record contains the <strong>lab study dataset</strong> and <strong>evaluation R source code</strong> from the paper <em>"Sounds Good? Fast and Secure Contact Exchange in Groups"</em> by Florentin Putz, Steffen Haesler, and Matthias Hollick in Proceedings of the ACM on Human-Computer Interaction (CSCW '24).</p> <p> </p> <p><strong>Abstract:</strong></p> <p>Trustworthy digital communication requires the secure exchange of contact information, but current approaches lack usability and scalability for larger groups of users. We evaluate the usability of two secure contact exchange systems: the current state of the art, SafeSlinger, and our newly designed protocol, <em>PairSonic</em>, which extends trust from physical encounters to spontaneous online communication. Our lab study (N=45) demonstrates PairSonic's superior usability, automating the tedious verification tasks from previous approaches via an acoustic out-of-band channel. Although participants significantly preferred our system, minimizing user effort surprisingly decreased the perceived security for some users, who associated security with complexity. We discuss user perceptions of the different protocol components and identify remaining usability barriers for CSCW application scenarios.</p> <p> </p> <p><strong>Dataset:</strong></p> <p>Our pseudonymous dataset contains usability, security, and preference scores, completion times, reported usage of nine types of social and collaborative tools, and seven demographic and control variables, for each of our 45 participants.</p> <p> </p> <p><strong>Analysis source code:</strong></p> <p>Our R Markdown source code includes the full reproducible code of our analysis. This code generates all statistical figures from our paper. The code can also be used to reproduce our quantitative results and tables.</p> <p>Please refer to the README.md file and our paper for further details about the dataset and the lab study.</p> <p> </p> <p><strong>Acknowledgments:</strong></p> <p>This work has been funded by the LOEWE initiative (Hesse, Germany) within the emergenCITY center [LOEWE/1/12/519/03/05.001(0016)/72].</p>
Figure 4. The bio-secure container facility a in The conservation breeding of two foot-flagging frog species from Borneo, Staurois parvus and Staurois guttatus
Figure 4. The bio-secure container facility a modern Noah´s Ark, which houses Staurois guttatus and S. parvus at the Vienna Zoo Schönbrunn. Image by D. Preininger.
IAM_COMPACT_Study_2_Energy_security
<p>This dataset contains the underling raw data of IAM COMPACT "Study 2 - Energy security, resilience, flexibility, costs, and environmental indicators in renewable energy systems".</p> <p>This study aims to respond to the research question “Evaluating energy system flexibility, energy security, energy system resilience in baseline, renewable, and cost-optimal scenarios”. It focuses on exploring methods and tools for modelling and comparing future energy systems in form of scenarios and uses a set of parameters to assess flexibility, resilience, costs, prices, etc. in renewable energy scenarios. To cover all the required areas, a comprehensive literature review is carried out so as to define indicators for evaluating renewable energy systems. These indicators are also refined with feedback from policy-makers and stakeholders.</p> <p>Three scenarios were created for the EU:</p> <ul> <li>Baseline 2050, based on current commitments and projections</li> <li>1.5 Tech 2050, assuming ambitious measures to meet with the 1.5ºC increase of the Paris agreement; and</li> <li>Smart Energy Europe 2050, designed with a 100% renewable energy system. </li> </ul> <p>Results of the study have been documented in D4.9 – European sub-national deep dives (DOI <a href="../doi/10.5281/zenodo.13784964">10.5281/zenodo.13784964</a>)</p>
ScienceDex guides
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These curated guides explain access requirements, typical timelines, costs, and reuse considerations for widely used research datasets.
Allen Brain Atlas
Allen Brain Atlas is an Allen Institute collection of brain map atlases, datasets, APIs, and analysis tools covering mouse, human, and non-human primate brain resources.
Annotated Behaviour and Observability Dataset (ABODe)
ABODe is a University of Edinburgh DataShare dataset for behavior classification in group-housed mice using home-cage video, identities, bounding boxes, ground-plate positions, and annotator labels.
DANDI Archive for NWB datasets
DANDI is a BRAIN Initiative archive for publishing and sharing neurophysiology data, including electrophysiology, optophysiology, and behavioral data packaged as NWB and related standards.
International Brain Laboratory public data
The International Brain Laboratory public data releases expose standardized mouse decision-making experiments, including Neuropixels recordings, widefield calcium imaging, behavior, and session metadata accessed through the ONE API.
OpenNeuro
OpenNeuro is a free, open platform for sharing neuroimaging datasets, with public search, dataset pages, and download paths for web, S3, DataLad, and the OpenNeuro CLI.