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Personal DLP for Facebook

open access: yes2014 IEEE International Conference on Pervasive Computing and Communication Workshops (PERCOM WORKSHOPS), 2014
Data Loss Prevention (DLP) is a well-established security and privacy concept in enterprise environments: Enterprise DLP tools scan outgoing messages and stop unintended information flows. It may catch malicious insiders, but the main use case is avoiding data leaks due to human errors.
Marco Ghiglieri   +2 more
openaire   +2 more sources
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Efficient DLP-visor: An efficient hypervisor-based DLP

2021 IEEE/ACM 21st International Symposium on Cluster, Cloud and Internet Computing (CCGrid), 2021
Many organization consider insider threat for data theft to be one of the most severe threats. An insider may also leak sensitive information without malicious intent (as a result of social engineering) Data leakage prevention (DLP) systems attempt to prevent intentional or accidental disclosure of sensitive information by monitoring the content or the
Kiperberg, Michael   +4 more
openaire   +1 more source

DLP and FaCT

1999
DLP [Patel-Schneider(1998)] and FaCT [Horrocks(1998)] are two recent description logic systems that contain sound and complete reasoners for expressive description logics. Due to the equivalences between expressive description logics and propositional modal logics, both DLP and FaCT can be used as satisfiability checkers for propositional modal logics.
Peter F. Patel-Schneider   +1 more
openaire   +2 more sources

FaCT and DLP

1998
FaCT: The tests were performed using FaCT version 1.2. FaCT is a description logic classifier whose description language is a superset of K4(m) and whose subsumption reasoning uses a sound and complete tableaux algorithm. FaCT employs a wide range of optimisations, in particular a form of dependency directed backtracking called backjumping which can ...
Ian Horrocks 0001   +1 more
openaire   +1 more source

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