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| 1 | Roles in information security:a survey and classification of the research area显示文摘 | FUCHS L PERNUL G SANDHU R | 2011 | Computers and Security2011，30，8： | 1 |
| 2 | Why publie key infrastructures have failed so far? 显示文摘 | Lopez J Oppliger R Pernul G | 2005 | Internet Research Emerald2005，15，5： | 1 |
| 3 | Modelling data secrecy and integrity显示文摘 | Tjoa A Winiwarter W | 1998 | Data &Knowledge Engineering1998，26，： | 1 |
| 4 | Roles in informa- tion security-a survey and classification of the research ar- ea显示文摘 | FUCHS L PERNUL G SANDHU R | 2011 | Computers & Security2011，30，： | 1 |
| 5 | The challenge for security and privacy services in distributed health settings显示文摘 | Kaoikas S Lopez J Pernul G | 2008 | Stud Health Technol Inform2008，，134： | 1 |
| 6 | Human-as-a-security-sensor for harvesting threat intelligence显示文摘Humans are commonly seen as the weakest link in corporate information security.This led to a lot of effort being put into security training and awareness campaigns,which resulted in employees being less likely the target of successful attacks.Existing approaches,however,do not tap the full potential that can be gained through these campaigns.On the one hand,human perception offers an additional source of contextual information for detected incidents,on the other hand it serves as information source for incidents that may not be detectable by automated procedures.These approaches only allow a text-based reporting of basic incident information.A structured recording of human delivered information that also provides compatibility with existing SIEM systems is still missing.In this work,we propose an approach,which allows humans to systematically report perceived anomalies or incidents in a structured way.Our approach furthermore supports the integration of such reports into analytics systems.Thereby,we identify connecting points to SIEM systems,develop a taxonomy for structuring elements reportable by humans acting as a security sensor and develop a structured data format to record data delivered by humans.A prototypical human-as-a-security-sensor wizard applied to a real-world use-case shows our proof of concept. | Manfred Vielberth Florian Menges Günther Pernul | 2019 | Cybersecurity2019，2，1： | 0 |
| 7 | Correction to:Human-as-a-security-sensor for harvesting threat intelligence显示文摘Correction to:Cybersecurity(2019)2:23 http://gffzzd3cc09b8251d45dfs6nonbxcpw95p60qn.ffgz.tsg.suse.edu.cn/10.1186/s42400-019-0040-0 In the original publication of this article(Vielberth et al.2019),the author list was not completed.The correct author list should be Manfred Vielberth,Florian Menges and Günther Pernul.The publisher apologizes to the readers and authors for the inconvenience.The original publication has been corrected. | Manfred Vielberth Florian Menges Günther Pernul | 2019 | Cybersecurity2019，2，1： | 0 |
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