Staffordshire University logo
STORE - Staffordshire Online Repository

Natural language why-question in Business Intelligence applications: model and recommendation approach

Guessoum, Meriem Amel, Djiroun, Rahma, Boukhalfa, Kamel and BENKHELIFA, Elhadj (2022) Natural language why-question in Business Intelligence applications: model and recommendation approach. Cluster Computing, 25 (6). pp. 3875-3898. ISSN 1386-7857

[img] Text
Guessoum-Paper-Cluster computing Journal-04-03-2022.pdf - AUTHOR'S ACCEPTED Version (default)
Restricted to Repository staff only until 18 May 2023.
Available under License All Rights Reserved.

Download (1MB) | Request a copy

Abstract or description

Cloud technologies have several merits including the elimination of cost incurred when traditional technologies are adopted. Despite the benefits, the cloud is still facing security challenges thereby calling for cyber threat intelligence capable of identifying threats and providing possible solutions. However, dependence on traditional security mechanisms and approaches for security solutions within cloud environments presents challenges. This calls for cloud-native solutions which leverages cloud features for design and development of solutions for data and applications hosted and running within the cloud. Past studies have suggested the adoption of semantic technologies for cloud-based security mechanisms. However, the semantic processing of data faces challenges of data interconnectedness due to aggregation of data from diverse heterogenous sources. Hence, this study proposes a cloud-native architecture capable of connecting security-related data from different sources in the cloud to enhance cyber threat intelligence. It presents a proof-of-concept implementation of the proposed solution on Amazon AWS cloud, within an auto-scaling group for scalability and across multiple availability zones for high availability.

Item Type: Article
Faculty: School of Digital, Technologies and Arts > Computer Science, AI and Robotics
Depositing User: Elhadj BENKHELIFA
Date Deposited: 07 Nov 2022 15:45
Last Modified: 07 Nov 2022 15:45
URI: https://eprints.staffs.ac.uk/id/eprint/7508

Actions (login required)

View Item View Item

DisabledGo Staffordshire University is a recognised   Investor in People. Sustain Staffs
Legal | Freedom of Information | Site Map | Job Vacancies
Staffordshire University, College Road, Stoke-on-Trent, Staffordshire ST4 2DE t: +44 (0)1782 294000