Dr. Jide Edu

Dr. Jide Edu is a cybersecurity researcher and educator based in Glasgow, UK, who builds automated systems to audit voice assistants, messaging platforms, and large language model ecosystems for privacy vulnerabilities. His work includes evaluating devices like Amazon Alexa and Google Assistant, analyzing chatbots on platforms such as Discord and Slack, and assessing national identity systems. He also studies misinformation in AI applications and human factors in usable security.

Some reviewers note that his research focuses on evaluating Amazon Alexa, Google Assistant, Siri, and Mycroft for privacy vulnerabilities in third-party skill ecosystems. He is described as the first to comprehensively map the attack surface of these voice assistants. His work also extends to measuring personalisation, data collection, and regulatory compliance in LLM-powered ecosystems.

His research outputs include a Tier 1 A★ USENIX paper on developer risk, liability, and security trade-offs in voice and AI ecosystems. He also published a survey titled 'Smart home personal assistants: a security and privacy review' in ACM Computing Surveys with a journal impact factor of 23.8. These publications highlight his focus on privacy failures before they reach millions of users.

He holds the position of Expert Fellow in SPRITE+ Security & Privacy Network and is a Fellow of the Higher Education Academy (FHEA). He is also a member of the EPSRC Peer Review College and the Research Innovation Scotland (RIS) network. These memberships reflect his active role in the academic and professional cybersecurity community.

His research focus includes national identity systems, where he develops risk assessment frameworks for national electronic identity systems. He examines the social, economic, and political stakes of large-scale NeID compromise. This work addresses a critical area where large-scale identity systems are vulnerable to compromise.

He analyzes chatbots on messaging platforms such as Discord, Slack, WhatsApp, and Teams to identify admin-permission overreach and missing privacy policies at scale. His automated static and dynamic analysis helps identify these issues in messaging platform security.

He studies how third-party voice applications can be weaponised for misinformation, noting that prior work often focused only on input-side privacy issues. His research fills this gap by examining the broader impact of AI applications on misinformation.

He understands developer challenges and user behaviour in voice and AI ecosystems, focusing on human factors and usable security. His work aims to expose privacy failures before they affect millions of users through automated auditing systems.

He is located in Glasgow, UK, and his contact information includes the email info@jideedu.com. His website, jideedu.com, serves as a central hub for his research, publications, and professional profile.

The official website of Dr. Jide Edu is jideedu.com.

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