Real-Time Detection of Illegal File Transfers in the Cloud
There has been a prolific rise in the popularity of cloud storage in recent years. While cloud storage offers many advantages such as flexibility and convenience, users are now unable to tell or control the actual locations of their data. This limitation may affect users' confidence and trust in the storage provider, or even be unsuitable for storing data with strict location requirements. To address this issue, we propose an illegal file transfer detection framework that constantly monitors the real-time file transfers in the cloud and is capable of detecting potential illegal transfers which moves sensitive data outside the ('legal') boundaries specified by the file owner. The main idea is to classifying multiple users' location preferences when making the data storage arrangement in the cloud nodes. We model the legal file transfers among nodes as a weighted graph and then maximize the probability of storing data items of similar privacy preferences in the same region. Then we leverage the socket monitoring functions provided by LAST-HDFS (a recent location-aware Hadoop file storage system) to monitor the real-time communication among cloud nodes. Based on our legal file transfer graph and the detected communication, we propose an approach to calculate the probability of the detected transfer to be illegal.
A. Bowers et al., "Real-Time Detection of Illegal File Transfers in the Cloud," Proceedings of the 2017 IEEE 37th International Conference on Distributed Computing Systems (2017, Atlanta, GA), pp. 2597-2600, Institute of Electrical and Electronics Engineers (IEEE), Jun 2017.
The definitive version is available at https://doi.org/10.1109/ICDCS.2017.13
2017 IEEE 37th International Conference on Distributed Computing Systems (2017: Jun. 5-8, Atlanta, GA)
Electrical and Computer Engineering
National Science Foundation (U.S.)
Keywords and Phrases
Crime; Data privacy; Digital storage; Location; Signal detection; Cloud storages; Detection framework; File transfers; Location awareness; Location-aware; Privacy preferences; Real-time communication; Real-time detection; Distributed computer systems; Location-Awareness
International Standard Book Number (ISBN)
International Standard Serial Number (ISSN)
Article - Conference proceedings
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01 Jun 2017