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Conference object . 2026
License: CC BY
Data sources: Datacite
ZENODO
Conference object . 2026
License: CC BY
Data sources: Datacite
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4th INTERNATIONAL CONFERENCEONCYBERSECURITYAND GENERATIVE ARTIFICIAL INTELLIGENCE (CyberGenAI'2026)

Authors: Dhilipan, Jayaseelan;

4th INTERNATIONAL CONFERENCEONCYBERSECURITYAND GENERATIVE ARTIFICIAL INTELLIGENCE (CyberGenAI'2026)

Abstract

CyberGenAI’2026 provides an important platform to deliberate on strategic implementation, cyber risk mitigation, digital governance models, and sustainable technology adoption. The conference proceedings reflectdiversescholarlycontributionsthataimtocreatesecure,resilient,andethicallyalignedAIecosystems capable of supporting organizational and societal progress. The rapid evolution of Generative Artificial Intelligence is redefining how knowledge is created, systems are automated, and decisions are supported across industries. At the same time, the increasing sophistication of cyber threats demands innovative security architectures, ethical AI governance, and resilient digital infrastructures. The convergence of cybersecurity and generative AI represents one of the most critical research frontiers of our time. This conference serves as a vital platform for academicians, researchers, practitioners, and students to explore emerging challenges such as adversarial machine learning, data privacy, AI-driven threat detection,securemodeldeployment,andresponsibleAIinnovation.Theproceedingsreflectrigorous scholarship and forward-thinking solutions aimed at strengthening global cyber resilience while promoting trustworthy AI systems.

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    popularity
    This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
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    influence
    This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
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    impulse
    This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
Average
Average
Average
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