Ontology-based Cross-domain Security Analysis

doi:10.3969/j.issn.1671-1122.2020.09.017

Netinfo Security ›› 2020, Vol. 20 ›› Issue (9): 82-86.doi: 10.3969/j.issn.1671-1122.2020.09.017

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Ontology-based Cross-domain Security Analysis

LIU Hong¹^,²(), XIE Yongheng¹, WANG Guowei³, JIANG Shuai³

1. Run Technologies Co., Ltd. Beijing, Beijing 100192, China
2. Beijing Cyberspace Data Analysis and Applied Engineering Technology Research Center, Beijing 100192, China
3. Beijing Municipal Bureau of Public Security, Beijing 100055, China

Received:2020-07-16 Online:2020-09-10 Published:2020-10-15
Contact: LIU Hong E-mail:liuhong@bjrun.com

Abstract

Abstract:

Today security threats that involve multiple disciplines or research areas, such as hardware security, cyber-physical security, and supply-chain security, are growing rapidly. However, there are no efficient methods to treat multidisciplinary security in a unified and systematical way making it difficult to analyze, evaluate, and predict these security problems. This paper proposes an approach that utilizes cross-domain ontologies to express and analyze security problems that involve several research areas. This method can helps in merging attacks and countermeasures, building multidisciplinary security knowledge base, and discovering new threats.

Key words: cyber-security, security ontology, hardware security, knowledge graph

CLC Number:

TP309

LIU Hong, XIE Yongheng, WANG Guowei, JIANG Shuai. Ontology-based Cross-domain Security Analysis[J]. Netinfo Security, 2020, 20(9): 82-86.

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References 12

[1]	FENZ S, EKELHART A. Formalizing Information Security Knowledge[C]// ACM. 4th International Symposium on Information, Computer, and Communications Security, March 10, 2009, Sydney, NSW, Australia. New York: ACM, 2009: 183-194.
[2]	SYED Z, PADIA A, FININ T, et al. A Unified Cybersecurity Ontology[C]// AAAI. 13th AAAI Conference on Artificial Intelligence, February 12, 2016, Phoenix, Arizona, USA. Palo Alto: AAAI, 2016: 80-87.
[3]	MAVROEIDIS V, BROMANDER S. Cyber Threat Intelligence Model: An Evaluation of Taxonomies, Sharing Standards, and Ontologies within Cyber Threat Intelligence[C]// IEEE. European Intelligence and Security Informatics Conference(EISIC), September 11, 2017, Attica, Greece. New York: IEEE, 2017: 91-98.
[4]	MAI Chengcheng, ZHOU Jiakun, ZHU Han, et al. A Review on Security Ontology: Document Analysis from 2010 to 2016[J]. Journal of Information Security Research, 2017,3(2):151-159.
[5]	The CyBOK Project Team. The Cyber Security Body of Knowledge: Hardware Security Knowledge Tree version 1.0[EB/OL]. https://www.cybok.org/, 2020-6-11.
[6]	BORST P, AKKERMANS H. Engineering Ontologies[J]. International Journal of Human-Computer Studies, 1997,46(2-3):365-406. doi: 10.1006/ijhc.1996.0096 URL
[7]	HWAITAT A A, SHAHEEN A, ADHIM K, ARKEBAT E N, et al. Computer Hardware Components Ontology[J]. Modern Applied Science, 2018,12(3):35-40.
[8]	HACHEM S, TEIXEIRA T, ISSARNY V. Ontologies for the Internet of Things[C]// Springer. 12th International Middleware Conference, December 12, 2011, Lisbon, Portugal. Heidelberg: Springer, 2011: 1-6.
[9]	BOUTEKKOUK F. Towards an Ontology-driven Intellectual Properties Reuse for Systems on Chip Design[C]// INASE. International Conference on Systems, Control, Signal Processing and Informatics, July 16, 2013, Rhodes Island, Greece. London: INASE, 2013: 394-399.
[10]	NOY N F, MUSEN M A. Algorithm and Tool for Automated Ontology Merging and Alignment[C]// AAAI. 17th National Conference on Artificial Intelligence(AAAI-00), July 30, 2000, Austin, Texas, USA. Palo Alto: AAAI, 2000: 450-455.
[11]	MARQUARDT P, VERMA A, CARTER H, et al. (sp)iPhone: Decoding Vibrations from Nearby Keyboards using Mobile Phone Accelerometers[C]// ACM. 18th ACM Conference on Computer and Communications Security, October 17, 2011, Chicago, Illnois, USA. New York: ACM, 2011: 551-562.
[12]	SHUMAILOV I, SIMON L, YAN J, et al. Hearing Your Touch: A New Acoustic Side Channel on Smartphones[EB/OL]. https://arxiv.org/pdf/1903.11137, 2020-6-11.

Ontology-based Cross-domain Security Analysis

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