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注册时间2025-9-14最后登录2025-10-30阅读权限20积分74精华0帖子16
 
 
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| Use of persistent identifiers in wireless communication protocols is a identified privacy concern as they can be used to trace the situation of cell units. Furthermore, inherent structure within the project of hardware identifiers in addition to upper-layer community protocol knowledge attributes can leak further system information. We introduce SEXTANT, a computational framework that combines improvements on beforehand printed device identification techniques with novel spatio-temporal correlation algorithms to carry out multi-protocol entity decision, enabling giant-scale tracking of cell devices throughout protocol domains. Experiments utilizing simulated information representing Las Vegas residents and visitors over a 30-day period, consisting of about 300,000 multi-protocol mobile devices producing over 200 million sensor observations, demonstrate SEXTANT’s capacity to perform successfully at scale whereas being strong to knowledge heterogeneity, sparsity, and noise, highlighting the pressing want for the adoption of latest standards to protect the privateness of mobile machine users. The growing availability of spatio-temporal knowledge is motivating the event of scalable and environment friendly algorithms to raised leverage that knowledge. 
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