Preserving Privacy Against Side-Channel Leaks From Data Publishing to Web Applications /

• Main Authors: Liu, Wen Ming (Author), Wang, Lingyu (Author)
• Corporate Author: SpringerLink (Online service)
• Format: Electronic eBook
• Language: English
• Published: Cham : Springer International Publishing : Imprint: Springer, 2016.
• Series: Advances in Information Security, 68
• Subjects: Computer science.; Computer communication systems.; Computer security.; Data encryption (Computer science).; Computers.; Computer Science.; Systems and Data Security.; Data Encryption.; Information Systems and Communication Service.; Computer Communication Networks.

This book offers a novel approach to data privacy by unifying side-channel attacks within a general conceptual framework. This book then applies the framework in three concrete domains. First, the book examines privacy-preserving data publishing with publicly-known algorithms, studying a generic str...

Table of Contents:

• Introduction
• Related Work
• Data Publishing: Trading off Privacy with Utility through the k-Jump Strategy
• Data Publishing: A Two-Stage Approach to Improving Algorithm Efficiency
• Web Applications: k-Indistinguishable Traffic Padding
• Web Applications: Background-Knowledge Resistant Random Padding
• Smart Metering: Inferences of Appliance Status from Fine-Grained Readings
• The Big Picture: A Generic Model of Side-Channel Leaks
• Conclusion.