Risk assessment for a video surveillance system based on fuzzy cognitive maps
PBN-AR
Instytucja
Wydział Elektrotechniki, Automatyki, Informatyki i Inżynierii Biomedycznej (Akademia Górniczo-Hutnicza im. Stanisława Staszica w Krakowie)
Informacje podstawowe
Główny język publikacji
EN
Czasopismo
Multimedia Tools and Applications
ISSN
1380-7501
EISSN
1573-7721
Wydawca
Springer
Rok publikacji
2016
Numer zeszytu
17
Strony od-do
10667--10690
Numer tomu
75
Link do pełnego tekstu
Identyfikator DOI
Liczba arkuszy
1.7
Autorzy
Słowa kluczowe
EN
security
video surveillance
risk assessment
fuzzy cognitive maps
Streszczenia
Język
EN
Treść
For various IT systems security is considered a key quality factor. In particular, it might be crucial for video surveillance systems, as their goal is to provide continuous protection of critical infrastructure and other facilities. Risk assessment is an important activity in security management; it aims at identifying assets, threats and vulnerabilities, analysis of implemented countermeasures and their effectiveness in mitigating risks. This paper discusses an application of a new risk assessment method, in which risk calculation is based on Fuzzy Cognitive Maps (FCMs) to a complex automated video surveillance system. FCMs are used to capture dependencies between assets and FCM based reasoning is applied to aggregate risks assigned to lower-level assets (e.g. cameras, hardware, software modules, communications, people) to such high level assets as services, maintained data and processes. Lessons learned indicate, that the proposed method is an efficient and low-cost approach, giving instantaneous feedback and enabling reasoning on effectiveness of security system.
Cechy publikacji
original article
peer-reviewed
Inne
System-identifier
idp:102266
CrossrefMetadata from Crossref logo
Cytowania
Liczba prac cytujących tę pracę
Brak danych
Referencje
Liczba prac cytowanych przez tę pracę
Brak danych