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 Plus monthly

Global: Zendy Tools annual

Global: Zendy Tools monthly

Global: Zendy Free Plan

With the rapid growth of mobile applications and cloud computing, mobilecloud computing has attracted great interest from both academia and industry.However, mobile cloud applications are facing security issues such as dataintegrity, users' confidentiality, and service availability. A preventiveapproach to such problems is to detect and isolate cyber threats before theycan cause serious impacts to the mobile cloud computing system. In this paper,we propose a novel framework that leverages a deep learning approach to detectcyberattacks in mobile cloud environment. Through experimental results, we showthat our proposed framework not only recognizes diverse cyberattacks, but alsoachieves a high accuracy (up to 97.11%) in detecting the attacks. Furthermore,we present the comparisons with current machine learning-based approaches todemonstrate the effectiveness of our proposed solution.

Cyberattack Detection in Mobile Cloud Computing: A Deep Learning Approach