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Secure Knowledge Management and Cybersecurity in the Era of Artificial Intelligence

Author

Listed:
  • Sagar Samtani

    (Kelley School of Business, Indiana University)

  • Ziming Zhao

    (University at Buffalo)

  • Ram Krishnan

    (University of Texas)

Abstract

No abstract is available for this item.

Suggested Citation

  • Sagar Samtani & Ziming Zhao & Ram Krishnan, 2023. "Secure Knowledge Management and Cybersecurity in the Era of Artificial Intelligence," Information Systems Frontiers, Springer, vol. 25(2), pages 425-429, April.
    • Handle: RePEc:spr:infosf:v:25:y:2023:i:2:d:10.1007_s10796-023-10372-y
    DOI: 10.1007/s10796-023-10372-y
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    References listed on IDEAS

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    1. Clinton Daniel & Matthew Mullarkey & Manish Agrawal, 2023. "RQ Labs: A Cybersecurity Workforce Skills Development Framework," Information Systems Frontiers, Springer, vol. 25(2), pages 431-450, April.
    2. Alex Nosenko & Yuan Cheng & Haiquan Chen, 2023. "Password and Passphrase Guessing with Recurrent Neural Networks," Information Systems Frontiers, Springer, vol. 25(2), pages 549-565, April.
    3. Lina Zhou & Jie Tao & Dongsong Zhang, 2023. "Does Fake News in Different Languages Tell the Same Story? An Analysis of Multi-level Thematic and Emotional Characteristics of News about COVID-19," Information Systems Frontiers, Springer, vol. 25(2), pages 493-512, April.
    4. Mohit Sewak & Sanjay K. Sahay & Hemant Rathore, 2023. "Deep Reinforcement Learning in the Advanced Cybersecurity Threat Detection and Protection," Information Systems Frontiers, Springer, vol. 25(2), pages 589-611, April.
    5. Romanus Izuchukwu Okeke & Max Hashem Eiza, 2023. "The Application of Role-Based Framework in Preventing Internal Identity Theft Related Crimes: A Qualitative Case Study of UK Retail Companies," Information Systems Frontiers, Springer, vol. 25(2), pages 451-472, April.
    6. Seema Rani & Mukesh Kumar, 2023. "Heterogeneous Information Fusion based Topic Detection from Social Media Data," Information Systems Frontiers, Springer, vol. 25(2), pages 513-528, April.
    7. Carlos E. Rubio-Medrano & Pradeep Kumar Duraisamy Soundrapandian & Matthew Hill & Luis Claramunt & Jaejong Baek & Geetha S & Gail-Joon Ahn, 2023. "DyPolDroid: Protecting Against Permission-Abuse Attacks in Android," Information Systems Frontiers, Springer, vol. 25(2), pages 529-548, April.
    8. Randy Klepetko & Ram Krishnan, 2023. "Visualizing Convolutional Neural Network Models’ Sensitivity to Nonnatural Data Order," Information Systems Frontiers, Springer, vol. 25(2), pages 613-638, April.
    9. Wingyan Chung & Yinqiang Zhang & Jia Pan, 2023. "A Theory-based Deep-Learning Approach to Detecting Disinformation in Financial Social Media," Information Systems Frontiers, Springer, vol. 25(2), pages 473-492, April.
    10. Hemant Rathore & Adithya Samavedhi & Sanjay K. Sahay & Mohit Sewak, 2023. "Towards Adversarially Superior Malware Detection Models: An Adversary Aware Proactive Approach using Adversarial Attacks and Defenses," Information Systems Frontiers, Springer, vol. 25(2), pages 567-587, April.
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