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

The last decades have been characterized by unprecedented technologicaladvances, many of them powered by modern technologies such as ArtificialIntelligence (AI) and Machine Learning (ML). The world has become moredigitally connected than ever, but we face major challenges. One of the mostsignificant is cybercrime, which has emerged as a global threat to governments,businesses, and civil societies. The pervasiveness of digital technologiescombined with a constantly shifting technological foundation has created acomplex and powerful playground for cybercriminals, which triggered a surge indemand for intelligent threat detection systems based on machine and deeplearning. This paper investigates AI-based cyber threat detection to protectour modern digital ecosystems. The primary focus is on evaluating ML-basedclassifiers and ensembles for anomaly-based malware detection and networkintrusion detection and how to integrate those models in the context of networksecurity, mobile security, and IoT security. The discussion highlights thechallenges when deploying and integrating AI-enabled cybersecurity solutionsinto existing enterprise systems and IT infrastructures, including options toovercome those challenges. Finally, the paper provides future researchdirections to further increase the security and resilience of our moderndigital industries, infrastructures, and ecosystems.

journal of industrial information integration

Securing the Digital World: Protecting smart infrastructures and digital  industries with Artificial Intelligence (AI)-enabled malware and intrusion  detection