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9 results for “security threat”
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>
Input data and scenarios outputs of the Water Resources Research paper "Optimal economic spatial and temporal allocation of green and grey investment to address water security threats : Case Study - Velhas River Basin, Brazil"
Open the record for dataset details and reuse information.
ADVANCEMENTS IN AIRLINE SECURITY: EVALUATING MACHINE LEARNING MODELS FOR THREAT DETECTION
<p>This study assessed the performance of four machine learning algorithms—Decision Tree (DT), Random Forest (RF), Support Vector Machine (SVM), and Neural Network (NN)—for predicting airline security threats using a dataset of 100,000 entries with 30 features. The models were evaluated based on accuracy, precision, recall, F1-Score, and AUC-ROC. The Neural Network achieved the highest performance, with an accuracy of 88%, precision of 86%, recall of 85%, F1-Score of 85.5%, and AUC-ROC of 0.90, demonstrating superior capability in capturing complex, non-linear patterns. The Random Forest model followed, with an accuracy of 85%, precision of 83%, recall of 82%, F1-Score of 82.5%, and AUC-ROC of 0.87, offering a robust and generalizable solution. The SVM model attained an accuracy of 81%, precision of 80%, recall of 78%, F1-Score of 79%, and AUC-ROC of 0.84, showing effective binary classification but with higher computational costs. The Decision Tree model, while interpretable, had the lowest performance metrics: accuracy of 78%, precision of 76%, recall of 72%, F1-Score of 74%, and AUC-ROC of 0.79. The results indicate that Neural Networks and Random Forests are the most effective models for airline security threat detection, with Neural Networks providing the highest overall accuracy and AUC-ROC.</p>
V2X Security Threats for Cluser-based Evaluation
<p>These datasets are obtained from the datasets in OID. Those datasets were filtered in order to obtain only the data collected by the vehicles composing the clusters as shown in the paper Evaluation of VANET Datasets in context of an Intrusion Detection System published in 29th International Conference on Software, Telecommunications and Computer Networks (SoftCOM 2021).</p> <p>The data from the multiple maps were then grouped to compose the training dataset. The test dataset is similar to the one in the original map 7 datasets. Additionally, the datasets were converted into ARFF format used by weka. The conversion to CSV can easily be made by deleting the header.</p>
V2X Security Threats
<p>A set of VANET datasets collected from simulations. These contain data from normal and attack messages. The datasets are divided depending on the attack: DoS and Fabrication attack.</p> <p>The DoS attack is then subdivided depending on the frequency of the attack.</p> <p>The fabrication attack is divided into attacks to several parameters, speed, acceleration, and heading.</p> <p>Further explanation can be found in F. Gonçalves, B. Ribeiro, O. Gama, J. Santos, A. Costa, B. Dias, M. J. Nicolau, J. Macedo, and A. Santos, “Synthesizing Datasets with Security Threats for Vehicular Ad-Hoc Networks,” in IEEE Globecom 2020: 2020 IEEE Global Communications Conference (GLOBECOM’2020), Taipei, Taiwan.</p>
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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.