Trust and Risk Assessment Model of Popular Software Based on Known Vulnerabilities

Open access

Abstract

This paper presents a new concept of an approach to risk assessment which can be done on the basis of publicly available information about vulnerabilities. The presented approach uses also the notion of trust and implements many concepts used in so called trust and reputation management systems (which are widely used in WSN, MANET or P2P networks, but also in ecommerce platforms). The article shows first outcomes obtained from the presented model. The outcomes demonstrate that the model can be implemented in real system to make software management more quantified and objective process, which can have real and beneficial impact on institutional security. In article, however the emphasis was set not on the model itself (which can be easily changed) but on the possibility of finding useful information about vulnerabilities.

[1] S. Zhang, X. Ou, and D. Caragea, ”Predicting Cyber Risks through National Vulnerability Database,” Information Security Journal: A Global Perspective, vol.24, 2015, pp. 194-206, DOI: 10.1080/19393555.2015.1111961

[2] S. Zhang, D. Caragea, and X. Ou, ”An Emperical Study on Using the National Vulnerability Database to Predict Software Vulnerabilities,” LNCS 6860, 2011, pp. 217-231, DOI: 10.1007/978-3-642-23088-2 15

[3] K. Ingols, M. Chu, R. Lippmann, S. Webster, S. Boyer, ”Modeling modern network attacks and countermeasures using attack graphs,” Annual Computer Security Conference, ACSAC, 2009, DOI: 10.1109/ACSAC. 2009.21

[4] M. McQueen, T. McQueen, W. Boyer, M. Chaffin, ”Empirical estimates and observations of 0day vulnerabilities,” 42nd Hawaii International Conference on System Sciences, 2009, pp. 1-12

[5] A. Ozment, Vulnerability Discovery & Software Security, PhD thesis, University of Cambridge, 2007

[6] A. Felkner, ”Review and analysis of sources of information about vulnerabilities,” Przegld telekomunikacyjny i wiadomoci telekomunikacyjne, vol. 8-9/2016, 2016, pp. 929-933, DOI: 10.15199/59.2016.8-9.37

[7] Symantec http://www.symantec.com/securityresponse/landing/vulnerabilities. jsp - access date: 02.05.2017

[8] Common Vulnerabilities and Exposures (CVE) http://www.cve.mitre.org/ access date: 02.05.2017

[9] Dragonsoft vulnerability database http://vdb.dragonsoft.com/ - access date: 02.05.2016, currently not accessible

[10] National Vulnerability Database http://nvd.nist.gov/ access date: 02.05.2017

[11] SecurityFocus http://www.securityfocus.com/vulnerabilities/ - access date: 02.05.2017

[12] Security Tracker http://www.securitytracker.com/ - access date: 02.05.2017

[13] US-CERT vulnerability notes database http://www.kb.cert.org/vuls/ - access date: 02.05.2017

[14] The Computer Incident Response Center Luxembourg http://cve.circl.lu/- access date: 02.05.2017

[15] CVEdetails http://www.cvedetails.com/ - access date: 02.05.2017

[16] Fulldisclosure http://seclists.org/fulldisclosure/ - access date: 02.05.2017

[17] Exploit-db http://www.exploit-db.com/ - access date: 02.05.2017

[18] Intelligent Exploit http://www.intelligentexploit.com/ - access date: 02.05.2016, currently not accessible

[19] Metasploit (Rapid7) https://www.rapid7.com/db/ - access date: 02.05.2017

[20] Sans http://isc.sans.edu/diary/ - access date:02.05.2017

[21] Vulnerability-lab http://www.vulnerability-lab.com - access date: 02.05.2017

[22] Vulners.com https://vulners.com/ - access date:02.05.2017

[23] Vfeed https://github.com/toolswatch/vFeed - access date:02.05.2017

[24] CPE dcitionary: https://cpe.mitre.org/ - access date:02.05.2017

International Journal of Electronics and Telecommunications

The Journal of Committee of Electronics and Telecommunications of Polish Academy of Sciences

Journal Information


CiteScore 2016: 0.72

SCImago Journal Rank (SJR) 2016: 0.248
Source Normalized Impact per Paper (SNIP) 2016: 0.542

Metrics

All Time Past Year Past 30 Days
Abstract Views 0 0 0
Full Text Views 79 79 12
PDF Downloads 48 48 5