Jove
Visualize
Contact Us
JoVE
x logofacebook logolinkedin logoyoutube logo
ABOUT JoVE
OverviewLeadershipBlogJoVE Help Center
AUTHORS
Publishing ProcessEditorial BoardScope & PoliciesPeer ReviewFAQSubmit
LIBRARIANS
TestimonialsSubscriptionsAccessResourcesLibrary Advisory BoardFAQ
RESEARCH
JoVE JournalMethods CollectionsJoVE Encyclopedia of ExperimentsArchive
EDUCATION
JoVE CoreJoVE BusinessJoVE Science EducationJoVE Lab ManualFaculty Resource CenterFaculty Site
Terms & Conditions of Use
Privacy Policy
Policies

Related Experiment Videos

An intelligent cloud firewall framework for multi-cloud security using lstm anomaly detection and federated learning.

Asha V1, Kanaga Suba Raja S2

  • 1School of Computing, Department of Computer Science and Engineering, SRM Institute of Science and Technology, Tiruchirappalli, Tiruchirappalli, India. ashamephd@gmail.com.

Scientific Reports
|May 26, 2026
PubMed
Summary

Related Concept Videos

You might also read

Related Articles

Articles linked to this work by shared authors, journal, and citation graph.

Sort by
Same journal

Impact of room configuration on energy use intensity in high-density pilgrim accommodations: a case study in Makkah, Saudi Arabia.

Scientific reports·2026
Same journal

Retraction Note: Improving the power production efficiency of microbial fuel cell by using biosynthesized polyanaline coated Fe<sub>3</sub>O<sub>4</sub> as pencil graphite anode modifier.

Scientific reports·2026
Same journal

Stylopine as multi-target anti-Alzheimer agent.

Scientific reports·2026
Same journal

Principal component analysis of morphological features of the aortic arch for predicting the risk for acute type B aortic dissection.

Scientific reports·2026
Same journal

An explainable AfroXLMR approach for multi-label emotion classification of Amharic social media text with dataset release.

Scientific reports·2026
Same journal

Bridging in vitro bioactivities and in silico insights of Rubia cordifolia L. (Rubiaceae) leaf extracts for therapeutic applications.

Scientific reports·2026
This summary is machine-generated.

This research introduces an AI-enhanced cloud firewall using Long Short Term Memory (LSTM) deep learning for advanced threat detection. It integrates post-quantum cryptography and blockchain for robust security against emerging cyber threats.

Area of Science:

  • Cybersecurity and Cloud Computing
  • Artificial Intelligence in Security
  • Cryptography and Blockchain Technologies

Background:

  • Traditional cloud firewalls struggle with zero-day vulnerabilities, quantum computing threats, and audit log integrity in multi-tenant environments.
  • The evolving threat landscape necessitates advanced security measures beyond conventional approaches.
  • Existing solutions lack the adaptive capabilities required for dynamic cloud infrastructures.

Purpose of the Study:

  • To present an integrated security framework for cloud services addressing current limitations.
  • To enhance cloud firewall capabilities using AI, post-quantum cryptography, and blockchain.
  • To develop a scalable and resilient security solution for future cloud computing.

Main Methods:

Keywords:
Anomaly detectionBlockchain auditDeep learningIntelligent firewallLSTMTenant isolationThreat detectionZero trust

Related Experiment Videos

  • Implemented an AI-enhanced cloud firewall utilizing a Long Short Term Memory (LSTM) deep learning model for traffic analysis.
  • Integrated post-quantum cryptography (CRYSTALS-Kyber, CRYSTALS-Dilithium) for authentication and a Zero Trust Architecture (ZTA).
  • Incorporated blockchain for tamper-proof audit logging across Infrastructure-as-a-Service (IaaS), Platform-as-a-Service (PaaS), and Software-as-a-Service (SaaS).

    • Main Results:

    • Achieved a 94.7% detection rate and a 2.1% False Positive Rate (FPR), significantly outperforming traditional firewalls.
    • Demonstrated sub-second response times for dynamically adaptive firewall policies.
    • Ensured tamper-proof audit logs and protection against quantum computing-based attacks.

    Conclusions:

    • The proposed AI-enhanced framework offers a scalable, resilient, and security-hardened solution for modern cloud environments.
    • The integration of AI, post-quantum cryptography, and blockchain effectively addresses critical cloud security challenges.
    • This approach provides a robust defense mechanism against sophisticated and future cyber threats.