JoWUA

Abstract

In network computing, computers and devices are not stand-alone but intimately linked together to perform various tasks and share resources. Network computing has become more and more sophisticated through technologies such as network virtualization, where hardware networks can be logically partitioned, and cloud computing, where the network resources are stored, managed and processed in the servers located remotely. Other mobile network technologies which integrate various devices into our networking systems have made the network computing environment more versatile. However, the sophistication and versatility added to the current network computing environment have inevitably caused many security and privacy issues to arise. In this special issue, five group of authors investigate these issues and suggest their solutions. We note that the first two papers in this issue [1, 2] are full versions of the papers presented at the 12th International Conference on Provable Security (ProvSec’18), Jeju Island, Korea, 25-28 October 2018. The first paper [1], Towards Modeling Privacy in WiFi Fingerprinting Indoor Localization and its Application, focuses on privacy models for privacy-preservingWiFi fingerprint based indoor localization (PPIL) schemes. In order to cover the state-of-the-art practical attacks, this paper proposes the first formal security model that formulates the security goals of both client-side and server-side privacy beyond the curious-but-honest setting. In particular, the proposed model considers various malicious behaviors such as exposing secrets of principles, choosing maliciousWiFi fingerprints in location queries and specifying the location area of a target client.