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CDSTAEP: Cross-Domain Spatial-Temporal Association Learning for Abnormal Events Prediction
Applied Sciences, 2023 Predicting network abnormal events and behavior can enhance security situation awareness and the ability to infer attack intentions. Most of the existing abnormal event prediction methods usually rely on the temporal relationship features between events ...
Mingcheng Gao +3 more
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Communications Medicine, 2023 Background Seasonal influenza places a substantial burden annually on healthcare services. Policies during the COVID-19 pandemic limited the transmission of seasonal influenza, making the timing and magnitude of a potential resurgence difficult to ...
Jonathon Mellor +7 more
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Covert Timing Channels Detection Based on Auxiliary Classifier Generative Adversarial Network
IEEE Open Journal of the Computer Society, 2021 Covert timing channels (CTCs) are defined as a mechanism that embeds covert information into network traffic. In a manner, information leakage caused by CTCs brings serious threat to network security.
Chonggao Sun +3 more
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Deep neural network-aided design of terahertz bifunctional metasurface
Results in Physics, 2023 Based on the insulator-to-metal phase transition of vanadium dioxide (VO2), we present a bifunctional metasurface (MS), which can be switched between the two working states, i.e., a broadband absorber and a broadband polarization converter.
Yisong Lv +5 more
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On the Security of Individual Data [PDF]
Annals of Mathematics and Artificial Intelligence, 2004 We will consider the following problem in this paper: Assume that there are $$n$$ numerical data $$\{x_1,x_2,\ldots,x_n\}$$ (like salaries of $$n$$ individuals) stored in a database and some subsums of these numbers are made public or just available for persons not eligible to learn the original data.
Demetrovics, János +2 more
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Nature Communications, 2021 Existing approaches to sharing of distributed medical data either provide only limited protection of patients’ privacy or sacrifice the accuracy of results.
David Froelicher +8 more
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ACM Computing Surveys, 1979 The rising abuse of computers and increasing threat to personal privacy through data banks have stimulated much interest in the technical safeguards for data. There are four kinds of safeguards, each related to but distinct from the others. Access controls regulate which users may enter the system and subsequently which data sets an active user may ...
Denning, Dorothy E., Denning, Peter J.
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Security of Data Science and Data Science for Security [PDF]
, 2019 In this chapter, we present a brief overview of important topics regarding the connection of data science and security. In the first part, we focus on the security of data science and discuss a selection of security aspects that data scientists should consider to make their services and products more secure.
Tellenbach, Bernhard +2 more
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International Journal of Applied Earth Observations and Geoinformation, 2023 The acceleration of urbanization and the increasing demand for precise city planning have made the extraction of buildings and roads from remote sensing images crucial.
Ziyi Chen +5 more
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Dynamic Security Risk Management Considering Systems Structural and Probabilistic Attributes [PDF]
Computer and Knowledge Engineering, 2023 Today’s cyber-attacks are getting more sophisticated and their volume is consistently growing. Organizations suffer from various attacks in their lifetime each of which exploiting different vulnerabilities, therefore, preventing them all is not ...
Masoud Khosravi-Farmad +1 more
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