Academic Commons

Articles

Fog Computing: Mitigating Insider Data Theft Attacks in the Cloud

Stolfo, Salvatore; Ben Salem, Malek; Keromytis, Angelos D.

Cloud computing promises to significantly change the way we use computers and access and store our personal and business information. With these new computing and communications paradigms arise new data security challenges. Existing data protection mechanisms such as encryption have failed in preventing data theft attacks, especially those perpetrated by an insider to the cloud provider. We propose a different approach for securing data in the cloud using offensive decoy technology. We monitor data access in the cloud and detect abnormal data access patterns. When unauthorized access is suspected and then verified using challenge questions, we launch a disinformation attack by returning large amounts of decoy information to the attacker. This protects against the misuse of the user's real data. Experiments conducted in a local file setting provide evidence that this approach may provide unprecedented levels of user data security in a Cloud environment.

Subjects

Files

Also Published In

Title
Proceedings: IEEE CS Security and Privacy Workshops: SPW 2012: 24-25 May 2012, San Francisco, California, USA
DOI
https://doi.org/10.1109/SPW.2012.19

More About This Work

Academic Units
Computer Science
Publisher
IEEE
Published Here
July 10, 2012
Academic Commons provides global access to research and scholarship produced at Columbia University, Barnard College, Teachers College, Union Theological Seminary and Jewish Theological Seminary. Academic Commons is managed by the Columbia University Libraries.