Security, Privacy, and Anonymity in Computation, Communication, and Storage SpaCCS 2019 International Workshops, Atlanta, GA, USA, July 14-17, 2019, Proceedings /

• Συγγραφή απο Οργανισμό/Αρχή: SpringerLink (Online service)
• Άλλοι συγγραφείς: Wang, Guojun (Επιμελητής έκδοσης, http://id.loc.gov/vocabulary/relators/edt), Feng, Jun (Επιμελητής έκδοσης, http://id.loc.gov/vocabulary/relators/edt), Bhuiyan, Md Zakirul Alam (Επιμελητής έκδοσης, http://id.loc.gov/vocabulary/relators/edt), Lu, Rongxing (Επιμελητής έκδοσης, http://id.loc.gov/vocabulary/relators/edt)
• Μορφή: Ηλεκτρονική πηγή Ηλ. βιβλίο
• Γλώσσα: English
• Έκδοση: Cham : Springer International Publishing : Imprint: Springer, 2019.
• Έκδοση: 1st ed. 2019.
• Σειρά: Information Systems and Applications, incl. Internet/Web, and HCI ; 11637
• Θέματα: Data protection.; Computer organization.; Computers.; Optical data processing.; Artificial intelligence.; Security.; Computer Systems Organization and Communication Networks.; Information Systems and Communication Service.; Image Processing and Computer Vision.; Artificial Intelligence.

 This book constitutes the refereed proceedings of six symposiums and two workshops co-located with SpaCCS 2019, the 12th International Conference on Security, Privacy, and Anonymity in Computation, Communication, and Storage. The 26 full papers were carefully reviewed and selected from 75 submissions. This year's symposiums and workshops are: SPIoT 2019 - Security and Privacy of Internet of Things; TSP 2019 - Trust, Security and Privacy for Emerging Applications; SCS 2019 - Sensor-Cloud Systems; UbiSafe 2019 - UbiSafe Computing; ISSR 2019 - Security in e-Science and e-Research; CMRM 2019 - Cybersecurity Metrics and Risk Modeling. 

 The 8th International Symposium on Security and Privacy on Internet of Things (SPIoT 2019) -- Robust Hybrid Lightweight Cryptosystem for Protecting IoT Smart Devices -- A Weighted Risk Score Model for IoT Devices -- Connected Vehicles: A Privacy Analysis -- Privacy-Preserving Big Data Analytics: From Theory to Practice -- The 9th International Symposium on Trust, Security and Privacy for Emerging Applications (TSP 2019) -- A Framework to Identify People in Unstructured Environments Incorporating Biometrics -- Continuous Authentication Using Mouse Clickstream Data Analysis -- Presentation Attack detection using Wavelet Transform and Deep Residual Neural Net -- Cost-Efficient Task Scheduling for Geo-distributed Data Analytics -- Task Scheduling for Streaming Applications in A Cloud-Edge System -- The 5th International Symposium on Sensor-Cloud Systems (SCS 2019) -- Limited Memory Eigenvector Recursive Principal Component Analysis in Sensor-Cloud Based Adaptive Operational Modal Online Identification -- Optimization of Optical Imaging MIMO-OFDM Precoding Matrix -- Data Collection Scheme for Underwater Sensor Cloud System Based on Fog Computing -- A Survey on Fog Computing -- An Approximate Data Collection Algorithm in Space-based Internet of Things -- Outlier Detection of Internet of Vehicles -- Review of Power Spatio-Temporal Big Data Technologies, Applications, and Challenges -- CP-MCNN:Multi-label Chest X-ray Diagnostic based on Con dence Predictor and CNN -- Naive Approach for Bounding Box Annotation and Object Detection towards Smart Retail Systems -- Evaluation of Face Recognition Techniques Based on Symlet 2 Wavelet and Support Vector Machine -- The 11th International Symposium on UbiSafe Computing (UbiSafe 2019) -- An Approach of ACARS Trajectory Reconstruction Based on Adaptive Cubic Spline Interpolation -- Lightweight Distributed Attribute Based Keyword Search System for Internet of Things -- Continuous Objects Detection Based on Optimized Greedy Algorithm in IoT Sensing Networks Distributed Service Recommendation -- The 11th International Workshop on Security in e-Science and e-Research (ISSR 2019) -- Software Quality Assurance: Tools & Techniques -- A Campus Carpooling System Based on GPS Trajectories -- The 2019 International Workshop on Cybersecurity Metrics and Risk Modeling (CMRM 2019) -- Web-based Intelligence for IDS -- Predictably Deterrable? The Case of System Trespassers.