Protecting documents with sticky policies and identity-based encryption

Spyra, Grzegorz; Buchanan, William J.

doi:10.1109/ftc.2016.7821719

Cited by 1 publication

(1 citation statement)

References 7 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…file owners could specify who can access his file, and how to be handled through clarifying file-access-policy) [11,24]. [25] protects individual components of data entity through embedding sticky policies into OOXML (open office XML) without access control to the content. The sticky policies attached to the data are secured by using the modern public-key Identity-Based Encryption (IBE) scheme.…”

Section: Sticky Policy and Blockchainmentioning

confidence: 99%

PDIS: A Service Layer for Privacy and Detecting Intrusions in Cloud Computing

Mumtaz¹,

Samawi²,

Alhroob³

et al. 2022

ijasca

View full text Add to dashboard Cite

Cloud computing faces numerous challenges in many areas including security and privacy issues. In this work, a developed approach is suggested to tackle three security and privacy issues: network intrusion detection (NID), privacy, and internal attacks. A decision tree (J48) has been used to generate a set of rules based on the CICIDS2017 dataset to solve the NID problem. The accuracy of the generated rules approaches 99.8%. A set of policies are attached to the data file on the bases of a sticky policy to preserve privacy. A new approach is suggested based on blockchain to detect internal attacks in real-time, in which a set of trustees-chain are identified by the data owner. Any data modification conducted by a trusted member will be reported to all members of the trust group including the owner. The developed approach suggests adding a Privacy and Detecting Intrusions Service (PDIS) layer as part of the cloud computing main service model. PDIS includes the three suggested approaches above (NID, sticky policy, and trustees-chain). Finally, a web-based application is implemented to act as casework to validate PDIS and evaluate its reliability. Keywords: Cloud computing, Privacy, Machine learning, Internal Intrusion Detection, Network Intrusion Detection, Real Time Auditing

show abstract

Section: Sticky Policy and Blockchainmentioning

confidence: 99%