Real-Time Detection of Illegal File Transfers in the Cloud

Adam Bowers; Dan Lin; Anna Squicciarini; Ali Hurson

doi:10.1109/ICDCS.2017.13

Real-Time Detection of Illegal File Transfers in the Cloud

Adam Bowers, Dan Lin, Anna Squicciarini, Ali Hurson

College of Information Sciences and Technology

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

Abstract

There has been a prolific rise in the popularityof cloud storage in recent years. While cloud storage offersmany advantages such as flexibility and convenience, users arenow unable to tell or control the actual locations of their data. This limitation may affect users' confidence and trust in thestorage provider, or even be unsuitable for storing data withstrict location requirements. To address this issue, we proposean illegal file transfer detection framework that constantlymonitors the real-time file transfers in the cloud and is capableof detecting potential illegal transfers which moves sensitivedata outside the ('legal') boundaries specified by the fileowner. The main idea is to classifying multiple users' location preferences when making the data storage arrangement inthe cloud nodes. We model the legal file transfers amongnodes as a weighted graph and then maximize the probabilityof storing data items of similar privacy preferences in thesame region. Then we leverage the socket monitoring functionsprovided by LAST-HDFS (a recent location-aware Hadoop filestorage system) to monitor the real-time communication amongcloud nodes. Based on our legal file transfer graph and thedetected communication, we propose an approach to calculatethe probability of the detected transfer to be illegal.

Original language	English (US)
Title of host publication	Proceedings - IEEE 37th International Conference on Distributed Computing Systems, ICDCS 2017
Editors	Kisung Lee, Ling Liu
Publisher	Institute of Electrical and Electronics Engineers Inc.
Pages	2597-2600
Number of pages	4
ISBN (Electronic)	9781538617915
DOIs	https://doi.org/10.1109/ICDCS.2017.13
State	Published - Jul 13 2017
Event	37th IEEE International Conference on Distributed Computing Systems, ICDCS 2017 - Atlanta, United States Duration: Jun 5 2017 → Jun 8 2017

Publication series

Name	Proceedings - International Conference on Distributed Computing Systems

Other

Other	37th IEEE International Conference on Distributed Computing Systems, ICDCS 2017
Country/Territory	United States
City	Atlanta
Period	6/5/17 → 6/8/17

All Science Journal Classification (ASJC) codes

Software
Hardware and Architecture
Computer Networks and Communications

Access to Document

10.1109/ICDCS.2017.13

Cite this

Bowers, A., Lin, D., Squicciarini, A., & Hurson, A. (2017). Real-Time Detection of Illegal File Transfers in the Cloud. In K. Lee, & L. Liu (Eds.), Proceedings - IEEE 37th International Conference on Distributed Computing Systems, ICDCS 2017 (pp. 2597-2600). Article 7980248 (Proceedings - International Conference on Distributed Computing Systems). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/ICDCS.2017.13

Bowers, Adam ; Lin, Dan ; Squicciarini, Anna et al. / Real-Time Detection of Illegal File Transfers in the Cloud. Proceedings - IEEE 37th International Conference on Distributed Computing Systems, ICDCS 2017. editor / Kisung Lee ; Ling Liu. Institute of Electrical and Electronics Engineers Inc., 2017. pp. 2597-2600 (Proceedings - International Conference on Distributed Computing Systems).

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title = "Real-Time Detection of Illegal File Transfers in the Cloud",

abstract = "There has been a prolific rise in the popularityof cloud storage in recent years. While cloud storage offersmany advantages such as flexibility and convenience, users arenow unable to tell or control the actual locations of their data. This limitation may affect users' confidence and trust in thestorage provider, or even be unsuitable for storing data withstrict location requirements. To address this issue, we proposean illegal file transfer detection framework that constantlymonitors the real-time file transfers in the cloud and is capableof detecting potential illegal transfers which moves sensitivedata outside the ('legal') boundaries specified by the fileowner. The main idea is to classifying multiple users' location preferences when making the data storage arrangement inthe cloud nodes. We model the legal file transfers amongnodes as a weighted graph and then maximize the probabilityof storing data items of similar privacy preferences in thesame region. Then we leverage the socket monitoring functionsprovided by LAST-HDFS (a recent location-aware Hadoop filestorage system) to monitor the real-time communication amongcloud nodes. Based on our legal file transfer graph and thedetected communication, we propose an approach to calculatethe probability of the detected transfer to be illegal.",

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doi = "10.1109/ICDCS.2017.13",

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Bowers, A, Lin, D, Squicciarini, A & Hurson, A 2017, Real-Time Detection of Illegal File Transfers in the Cloud. in K Lee & L Liu (eds), Proceedings - IEEE 37th International Conference on Distributed Computing Systems, ICDCS 2017., 7980248, Proceedings - International Conference on Distributed Computing Systems, Institute of Electrical and Electronics Engineers Inc., pp. 2597-2600, 37th IEEE International Conference on Distributed Computing Systems, ICDCS 2017, Atlanta, United States, 6/5/17. https://doi.org/10.1109/ICDCS.2017.13

Real-Time Detection of Illegal File Transfers in the Cloud. / Bowers, Adam; Lin, Dan; Squicciarini, Anna et al.
Proceedings - IEEE 37th International Conference on Distributed Computing Systems, ICDCS 2017. ed. / Kisung Lee; Ling Liu. Institute of Electrical and Electronics Engineers Inc., 2017. p. 2597-2600 7980248 (Proceedings - International Conference on Distributed Computing Systems).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

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Bowers A, Lin D, Squicciarini A, Hurson A. Real-Time Detection of Illegal File Transfers in the Cloud. In Lee K, Liu L, editors, Proceedings - IEEE 37th International Conference on Distributed Computing Systems, ICDCS 2017. Institute of Electrical and Electronics Engineers Inc. 2017. p. 2597-2600. 7980248. (Proceedings - International Conference on Distributed Computing Systems). doi: 10.1109/ICDCS.2017.13

Real-Time Detection of Illegal File Transfers in the Cloud

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All Science Journal Classification (ASJC) codes

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