English (United Kingdom)

https://curated-unify.zendy.io/wp-json/zendy-region/v1/featured_content/oa?rat=en

https://curated-unify.zendy.io/wp-json/zendy-region/v1/highlighted_journal/

Global: Zendy Plus annual

Presents the access of premium content as premium feature

Premium Content

Presents the keyphrase highlighting as premium feature

Keyphrase Highlighting

Presents the summarisation as premium feature

Summarisation

Insights

Presents the pdf analysis as premium feature

PDF Analysis

Presents the zaia usage as premium feature

ZAIA

Global: Zendy Tools annual

Global: Zendy Free Plan

Global: Zendy Tools monthly

Global: Zendy Plus monthly

Eliciting security requirements is critical but hard for non-expert to fulfill an exhaustive analysis on large body of security knowledge. Emerging models in requirements engineering (RE) society release some burden of such difficulty, as well as security ontologies are booming for knowledge sharing and reuse. There exists necessity for the synergy of them, such as utilizing security ontology (SO) as the back end of Knowledge Base (KB) for capturing security requirements by using known RE models. Research advances in the Semantic Web (SW) community provide a common framework of technologies that allows data to be shared and reused across boundaries of various application and community. This paper proposes a knowledge base which is constructed on SO and Misuse Case Model (MCM), by representing them into OWL (Web Ontology Language). Semantic rules can be derived from the correlation of SO and MCM to be utilized for reasoning and querying security knowledge via MCM-based requirements elicitation. The proposed KB coordinates SO with a specific RE model to facilitate knowledge sharing to be a foundation for eliciting security requirements automatically.

Towards a Semantic Web-enabled Knowledge Base to Elicit Security Requirements for Misuse Cases