2d7608acb40467266827e00171af3adb jounetcom_a2026m10v254p104560.pdf 08dcf6fafec8c7d6a7cd234c2295ca392a630851 jounetcom_a2026m10v254p104560.pdf 8e2adbecc68e364aac4937ff9a8285c259e866b391c19d025382516474d45c0b jounetcom_a2026m10v254p104560.pdf Title: The attention leak: Behavioral inference from temporal metadata in network traffic Subject: Journal of Network and Computer Applications, 254 (2026) 104560. doi:10.1016/j.jnca.2026.104560 Keywords: Network traffic analysis,Privacy-preserving communication,Behavioral traffic fingerprinting Author: Alejandro Donaire Creator: Elsevier Producer: Acrobat Distiller 8.1.0 (Windows) CreationDate: Fri Aug 21 02:51:24 2026 CEST ModDate: Fri Aug 21 08:15:10 2026 CEST Custom Metadata: yes Metadata Stream: yes Tagged: yes UserProperties: no Suspects: no Form: none JavaScript: no Pages: 13 Encrypted: no Page size: 595.276 x 793.701 pts Page rot: 0 File size: 1791540 bytes Optimized: no PDF version: 1.7 name type encoding emb sub uni object ID 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Language: en-US Outlines: Item: Title: The attention leak: Behavioral inference from temporal metadata in network traffic Children: Item: Title: Introduction Item: Title: Background and related work Children: Item: Title: Human attention and task switching Item: Title: Digital behavioral profiling Item: Title: Machine learning approaches Item: Title: General methodology Children: Item: Title: Motivation and central premise Item: Title: Methodology overview Item: Title: Implementation and results Children: Item: Title: Training data collection Item: Title: Macroscopic approach: dataset-level statistics Children: Item: Title: Dataset and metrics Item: Title: Candidate functions Item: Title: Results Item: Title: Microscopic approach: packet-level segmentation Children: Item: Title: Model selection and optimization Item: Title: Dataset and metrics Item: Title: Results Item: Title: Mesoscopic approach: time intervals Children: Item: Title: Base model selection Item: Title: Imbalance Item: Title: Hyperparameters and architecture Item: Title: Network-active and network-inactive tasks Item: Title: Generalization Item: Title: Approach comparison Item: Title: Mitigation Children: Item: Title: Results Item: Title: Conclusions Item: Title: CRediT authorship contribution statement Item: Title: Declaration of competing interest Item: Title: Acknowledgments Item: Title: Data availability Item: Title: References Info: Title: The attention leak: Behavioral inference from temporal metadata in network traffic Author: Alejandro Donaire Subject: Journal of Network and Computer Applications, 254 (2026) 104560. doi:10.1016/j.jnca.2026.104560 Keywords: Network traffic analysis,Privacy-preserving communication,Behavioral traffic fingerprinting Creator: Elsevier Producer: Acrobat Distiller 8.1.0 (Windows) CreationDate: Fri Aug 21 02:51:24 CEST 2026 ModDate: Fri Aug 21 08:15:10 CEST 2026 ID: 0x0ed8d5b12aa31e4c68fc869b39c2d5bd, 0xcc9b05dfba118479415702f7bf66685a Filters: FilterPipeline: 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Journal of Network and Computer Applications, 254 (2026) 104560. doi:10.1016/j.jnca.2026.104560 Network traffic analysis Privacy-preserving communication Behavioral traffic fingerprinting The attention leak: Behavioral inference from temporal metadata in network traffic Alejandro Donaire Carlos Borrego Marc Juarez VoR 21st August 2026 Acrobat Distiller 8.1.0 (Windows) Network traffic analysis,Privacy-preserving communication,Behavioral traffic fingerprinting 21st August 2026 sciencedirect.com elsevier.com true 2010-04-23 10.1016/j.jnca.2026.104560 noindex journal © 2026 The Authors. 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