Transactions on Large-Scale Data- and Knowledge-Centered Systems XXXVI
Special Issue on Data and Security Engineering
Seiten
2017
|
1st ed. 2017
Springer Berlin (Verlag)
978-3-662-56265-9 (ISBN)
Springer Berlin (Verlag)
978-3-662-56265-9 (ISBN)
This volume, the 36th issue of Transactions on Large-Scale Data- and Knowledge-Centered Systems, contains eight revised, extended papers selected from the 3rd International Conference on Future Data and Security Engineering, FDSE 2016, and the 10th International Conference on Advanced Computing and Applications, ACOMP 2016, which were held in Can Tho City, Vietnam, in November 2016. Topics covered include big data analytics, massive dataset mining, security and privacy, cryptography, access control, deep learning, crowd sourcing, database watermarking, and query processing and optimization.
Risk-Based Privacy-Aware Access Control for Threat Detection Systems.- Systematic Digital Signing in Estonian e-Government Processes: Influencing Factors, Technologies, Change Management.- Towards a Fine-Grained Privacy-Enabled Attribute-Based Access Control Mechanism.- One-Class Collective Anomaly Detection Based on LSTM-RNNs.- Multihop Wireless Access Networks for Flood Mitigation Crowd-Sourcing Systems.- Assessment of Aviation Security Risk Management for Airline Turnaround Processes.- Scalable Automated Analysis of Access Control and Privacy Policies.- Partitioning-Insensitive Watermarking Approach for Distributed Relational Databases.
| Erscheinungsdatum | 28.12.2017 |
|---|---|
| Reihe/Serie | Lecture Notes in Computer Science | Transactions on Large-Scale Data- and Knowledge-Centered Systems |
| Zusatzinfo | XI, 193 p. 60 illus. |
| Verlagsort | Berlin |
| Sprache | englisch |
| Maße | 155 x 235 mm |
| Gewicht | 318 g |
| Themenwelt | Informatik ► Datenbanken ► Data Warehouse / Data Mining |
| Schlagworte | Access Control • Applications • Big Data Analytics • Computer Networks • Computer Science • conference proceedings • crowd sourcing • cryptography • database watermarking • Data Mining • data privacy • Data Security • Deep learning • Informatics • Internet • massive dataset mining • privacy • Problem Solving • query optimization • query processing • Research |
| ISBN-10 | 3-662-56265-0 / 3662562650 |
| ISBN-13 | 978-3-662-56265-9 / 9783662562659 |
| Zustand | Neuware |
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