<?xml version="1.0" encoding="utf-8" standalone="yes"?><rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom"><channel><title>Publications | Joshua Seyi Ibitoye</title><link>https://jsibitoye.com/publications/</link><atom:link href="https://jsibitoye.com/publications/index.xml" rel="self" type="application/rss+xml"/><description>Publications</description><generator>Hugo Blox Builder (https://hugoblox.com)</generator><language>en-us</language><lastBuildDate>Thu, 07 Aug 2025 00:00:00 +0000</lastBuildDate><image><url>https://jsibitoye.com/media/icon_hu_982c5d63a71b2961.png</url><title>Publications</title><link>https://jsibitoye.com/publications/</link></image><item><title>Self-Healing AI-Driven Networks for Automated Cyber Threat Detection and Recovery</title><link>https://jsibitoye.com/publications/self-healing-network/</link><pubDate>Thu, 07 Aug 2025 00:00:00 +0000</pubDate><guid>https://jsibitoye.com/publications/self-healing-network/</guid><description>&lt;p&gt;This work explores how telemetry, anomaly detection, root-cause analysis, and automated remediation can support cyber-resilient network operations.&lt;/p&gt;
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&lt;/p&gt;</description></item><item><title>Modeling Threat Vectors in Real Time Using AI-Enhanced Surveillance Analytics Across Cyber, Land, Air, and Maritime Domains</title><link>https://jsibitoye.com/publications/ai-threat-vector-surveillance/</link><pubDate>Sun, 01 Jun 2025 00:00:00 +0000</pubDate><guid>https://jsibitoye.com/publications/ai-threat-vector-surveillance/</guid><description>&lt;p&gt;This paper introduces an AI-driven, multi-domain surveillance framework that unifies analytics across cyber, land, air, and maritime systems.&lt;/p&gt;
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&lt;/p&gt;</description></item><item><title>Multi-Agent AI Systems for Secure, Transparent, and Compliant Fraud Surveillance in Cross-Border FinTech Operations</title><link>https://jsibitoye.com/publications/multi-agent-ai-fintech-fraud-surveillance/</link><pubDate>Sun, 01 Jun 2025 00:00:00 +0000</pubDate><guid>https://jsibitoye.com/publications/multi-agent-ai-fintech-fraud-surveillance/</guid><description>&lt;p&gt;This paper proposes a multi-agent fraud surveillance framework for identifying, auditing, and responding to suspicious activity across digital financial systems.&lt;/p&gt;
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&lt;/p&gt;</description></item><item><title>Zero-Trust Cloud Security Architectures with AI-Orchestrated Policy Enforcement for U.S. Critical Sectors</title><link>https://jsibitoye.com/publications/zero-trust-cloud-security/</link><pubDate>Fri, 01 Dec 2023 00:00:00 +0000</pubDate><guid>https://jsibitoye.com/publications/zero-trust-cloud-security/</guid><description>&lt;p&gt;This work proposes a zero-trust cloud security model enhanced by AI-based policy orchestration for reducing lateral movement and improving incident containment.&lt;/p&gt;
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&lt;/p&gt;</description></item><item><title>AI-Driven Privacy-Preserving Contact Tracing and Pandemic Response Systems</title><link>https://jsibitoye.com/publications/privacy-preserving-pandemic-response/</link><pubDate>Tue, 01 Dec 2020 00:00:00 +0000</pubDate><guid>https://jsibitoye.com/publications/privacy-preserving-pandemic-response/</guid><description>&lt;p&gt;This research introduces a federated learning and zero-trust security model for real-time pandemic response across distributed health networks.&lt;/p&gt;
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