E-Book, Englisch, 309 Seiten, eBook
Advances in Computing and Networking with Applications
E-Book, Englisch, 309 Seiten, eBook
ISBN: 978-3-319-75683-7
Verlag: Springer International Publishing
Format: PDF
Kopierschutz: 1 - PDF Watermark
Zielgruppe
Research
Autoren/Hrsg.
Weitere Infos & Material
Introduction.- Part I: Privacy and game theory.- A Novel Perfect Privacy PIR scheme for Privacy Critical Applications.- Heterogeneous Sensor Privacy Protection with Stackelberg Privacy Games.- Intelligent Access Control: A Self-Adaptable Trust Based Access Control Framework (SATBAC) using Game Theory Strategy.- Public Key Cryptosystem for Privacy Sensitive Location Based Services.- Stochastic Tools for Network Intrusion Detection.- Part II: High performance computing and the cloud.- Accelerating the Big Data Analytics by GPU based Machine Learning: A Survey.- Multimedia Data Management for Disaster Situation Awareness.- On the Need of Security Standards in Big Data Information Flow.- Using Markov models and statistics to learn, extract, fuse, and detect patterns in raw data.- Dynamic Firewall Policy Management Framework for Private Cloud.- Security threats and solutions for virtualization and migration in virtual machines.- Techniques to certify integrity and proof of existence for a periodical re-encryption based long term archival systems.- Part III: Networking and the Internet of Things (IoT).- A Study of Contact Durations for Vehicle to Vehicle Communications.- Evolution of Sensors leading to Smart Objects and Security Issues in IoT.- Flexible Bandwidth Scheduling for Streaming Data Movement Over Dedicated Networks.- Internet of Things: Current Trends and Emerging Prospects.- Measurements and Analytics of Data Transport Over Dedicated Connections.- Trends and Future Directions of Research for Smart Grid IoT Sensor Networks.- SCADA: Analysis of Attacks on Communication Protocols.- Part IV: Bioinformatics.- TASB-AC: Term Annotated Sliding-window based Boosting Associative Classifier for DNA Repair Gene Categorization.- Temporal analysis of stress classification using QRS complex of ECG signals.- Conclusion.