My Security: an interactive search engine for cybersecurity

Sun, Nan, Gao, Shang, Zhang, Yu (Leo), Camtepe, Seyit, Zhang, Jun and Xiang, Yang 2021, My Security: an interactive search engine for cybersecurity, in Proceedings of the 54th Hawaii International Conference on System Sciences, [University of Hawai'i at Manoa], [Honolulu, Hi], pp. 6206-62015.

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Title My Security: an interactive search engine for cybersecurity
Author(s) Sun, NanORCID iD for Sun, Nan orcid.org/0000-0001-9123-9022
Gao, ShangORCID iD for Gao, Shang orcid.org/0000-0002-2947-7780
Zhang, Yu (Leo)ORCID iD for Zhang, Yu (Leo) orcid.org/0000-0001-9330-2662
Camtepe, Seyit
Zhang, Jun
Xiang, Yang
Conference name System Sciences. International Conference (54th : 2021 : Manoa, Hawaii)
Conference location Manoa, Hawaii
Conference dates 2021/01/04 - 2021/01/08
Title of proceedings Proceedings of the 54th Hawaii International Conference on System Sciences
Editor(s) [Unknown]
Publication date 2021
Series System Sciences International Conference
Start page 6206
End page 62015
Total pages 10
Publisher [University of Hawai'i at Manoa]
Place of publication [Honolulu, Hi]
Keyword(s) cybersecurity
information retrieval
data mining
visualization
Summary Large volumes of Cybersecurity-related data is generated every day from various sources at high speed to adapt to the fast-evolving landscape of cybersecurity. It drives the emergence of challenges such as the efficient gathering of in-demand information from unstructured and heterogeneous data sources. After collecting sufficient data, it is hard for users to understand the message hidden behind without adequate security domain knowledge. To help address this problem, in this paper, we present My Security, an innovative search engine for gathering, managing, and understanding cybersecurity-related data. My Security is based on a novel indexing approach that stores both the information of data sources (e.g., publication date, authorship) and the pragmatics messages, including security category (e.g., ransomware, data breach) and corresponding security components (e.g., time of the event, impacted systems). With the established index, users can retrieve cybersecurity information through comprehensive approaches. Fetched results are provided with interpretations leveraged from pragmatics indexing. Additional data mining and visualization techniques enhance the interactivity of My Security by presenting the retrieved results in a clear and comprehensible manner with cybersecurity expertise. It is demonstrated that My Security is efficient at satisfying users' requirements for searching security data and helping people gain better insights into cybersecurity.
ISBN 978-0-9981331-4-0
Language eng
Indigenous content off
HERDC Research category E1 Full written paper - refereed
Persistent URL http://hdl.handle.net/10536/DRO/DU:30146570

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