The defense effect of WLAN security architecture can be evaluated by Quality of Security Service (QoSS), which indicates the quality level of the security service. The principal factor restricting security systems to provide high level security is the cost of security services, involving the influences of security on other Quality of Service (QoS) indicators. The users’ satisfaction degree refers to users’ security demands and the comparison between anticipated security service value and the factual value computed by QoSS of the security information system. This chapter proposes a fuzzy assessment method based on entropy-weight coefficient aiming at the randomness and fuzziness of WLAN attacks. The method performs quantitative evaluation of threats in WLAN from the perspective of probability, which eliminates subjectivity in the evaluation and makes the results more objective and authentic.
[1]
Jan Trobitius,et al.
Anwendung der "Common Criteria for Information Technology Security Evaluation" (CC) / ISO 15408 auf ein SOA Registry-Repository
,
2007,
Informatiktage.
[2]
Alexander L. Wolf,et al.
Acm Sigsoft Software Engineering Notes Vol 17 No 4 Foundations for the Study of Software Architecture
,
2022
.
[3]
Philippe Kruchten,et al.
The 4+1 View Model of Architecture
,
1995,
IEEE Softw..
[4]
Sebastiaan H. von Solms,et al.
Information Security Management: A Hierarchical Framework for Various Approaches
,
2000,
Comput. Secur..
[5]
Joseph H. M. Tah,et al.
A proposal for construction project risk assessment using fuzzy logic
,
2000
.