Name
Title | ||
|---|---|---|
A risk evaluation approach for authorization decisions in social pervasive applications. |
Abstract | ||
|---|---|---|
•A new risk indicator model to evaluate security risks associated with information sharing on social pervasive applications.•A risk indicator value can be predicted by assessing a number of risk attributes using a neurofuzzy technique.•The proposed model was implemented successfully in a case study at a university campus.•An effective approach in predicting security risks and in deciding up on them about disclosure decisions in social pervasive applications. |
Year | DOI | Venue |
|---|---|---|
2016 | 10.1016/j.compeleceng.2016.01.022 | Computers & Electrical Engineering |
Keywords | Field | DocType |
Security risks,Authorization,Social networks,Social Network Services (SNS),Social pervasive applications,Neuro-fuzzy systems | Indicator value,Risk evaluation,Social network,Computer science,Authorization,Mobile service,Knowledge management,Computer network,Risk analysis (engineering),Information sharing | Journal |
Volume | Issue | ISSN |
55 | C | 0045-7906 |
Citations | PageRank | References |
4 | 0.43 | 15 |
Authors | ||
3 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Amr Ali Eldin | 1 | 21 | 3.49 |
| Jan Van Den Berg | 2 | 350 | 35.73 |
| Hesham A. Ali | 3 | 99 | 16.11 |