Results 41 to 50 of about 152,186 (174)
A system-theoretic framework for privacy preservation in continuous-time multiagent dynamics
, 2020 In multiagent dynamical systems, privacy protection corresponds to avoid disclosing the initial states of the agents while accomplishing a distributed task. The system-theoretic framework described in this paper for this scope, denoted dynamical privacy,
Altafini, Claudio
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The Entropy of Conditional Markov Trajectories [PDF]
, 2013 To quantify the randomness of Markov trajectories with fixed initial and final states, Ekroot and Cover proposed a closed-form expression for the entropy of trajectories of an irreducible finite state Markov chain.
Grossglauser, Matthias +2 more
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PinMe: Tracking a Smartphone User around the World
, 2017 With the pervasive use of smartphones that sense, collect, and process valuable information about the environment, ensuring location privacy has become one of the most important concerns in the modern age.
Dai, Xiaoliang +3 more
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Trajectory differential privacy protection method based on exponential mechanism
大数据, 2023 A trajectory differential privacy protection method based on exponential mechanism was proposed, aiming at the problem of privacy disclosure caused by ignoring semantic information carried by location points in traditional trajectory data protection.For ...
Huicong JIAO, Wenju LIU, Ze WANG
doaj
Journal of Cloud Computing: Advances, Systems and Applications, 2022 Accurate and real-time trajectory data publishing plays an important role in providing users with the latest traffic and road condition information to help in rationally planning travel time and routes.
Jing Xiong, Hong Zhu
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Effectively computing transition patterns with privacy-preserved trajectory datasets.
PLoS ONE, 2022 Recent advances in positioning techniques, along with the widespread use of mobile devices, make it easier to monitor and collect user trajectory information during their daily activities.
Jong Wook Kim, Beakcheol Jang
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A Consistent Differential Privacy Dynamic Trajectory Flow Prediction Method
Engineering ReportsEnsuring privacy while maintaining accuracy in trajectory prediction is a crucial challenge in privacy‐sensitive applications such as smart transportation and mobility analytics.
Hongzhi Pan
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Learning-based attacks in cyber-physical systems [PDF]
, 2020 We introduce the problem of learning-based attacks in a simple abstraction of cyber-physical systems---the case of a discrete-time, linear, time-invariant plant that may be subject to an attack that overrides the sensor readings and the controller ...
Franceschetti, Massimo +3 more
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MathematicsTrajectory data are embedded within driving paths, GPS positioning systems, and mobile signaling information. A vast amount of trajectory data play a crucial role in the development of smart cities.
Yanjun Chen +3 more
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, 2019 In recent years, it has become easy to obtain location information quite precisely. However, the acquisition of such information has risks such as individual identification and leakage of sensitive information, so it is necessary to protect the privacy ...
A Wasef +8 more
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