Structural Feature Based Anomaly Detection for Packed Executable Identification - Computational Intelligence in Security for Information Systems - page 283

4Conluon
In this paper we showed that the UPM could provide users full control over
private information by providing user control over content, identity, location,
and time privacy. The model is highly scalable because of its distributed deci-
sion making processes and its platform independence and its unobtrusiveness
is less than 10%. Finally we showed that the UPM policies are able to support
mandatory and discretionary rules, context sensitivity, uncertainty handling, and
conflict resolution to provide high expressiveness. This research can be extended
to the following areas:
1. Adding mechanisms to support concurrent, multiple authentication methods
to increase the accuracy of the user APL that increases the model privacy.
2. Applying secret sharing techniques to overcome the probability of collusion
attack that can result from the collusion of light houses and portals that will
divulge parties private information, this technique can be used for eliminat-
ing the software trust-ability assumption too.
3. Adding ontology to the model that allows devices to communicate with-
out any information of their XML schema format or any prior agreement
about it.
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