Searchable Encryption: Foundations, Privacy Challenges, and Emerging Directions
Please join us on May 8 for an insightful online presentation on advancements in searchable encryption, presented by Dr. Khosro Salmani.
Summary: Searchable encryption has emerged as a key cryptographic technology for enabling efficient search over encrypted data while preserving confidentiality in untrusted environments. In this talk, I will introduce the fundamental concepts of searchable encryption methodologies and discuss the privacy challenges that have shaped their evolution. The presentation will review the historical development of searchable encryption, highlighting how early designs addressed basic functionality and how subsequent approaches responded to increasingly sophisticated privacy threats, such as access-pattern and leakage attacks. I will then present a structured classification of searchable encryption methodologies, offering a conceptual framework that helps clarify existing designs and their privacy trade-offs. This classification aims to strengthen the foundation for reasoning about privacy guarantees and to support the design of more robust and practical schemes. The talk will also touch on emerging directions, including usability considerations and the interaction between searchable encryption and modern data-driven systems. The goal of this talk is to provide an accessible introduction to searchable encryption and its privacy challenges, while motivating researchers and practitioners to further explore open problems and contribute to advancing privacy-preserving search technologies.
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Khosro Salmani
Searchable Encryption: Foundations, Privacy Challenges, and Emerging Directions
Biography:
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Dr. Khosro Salmani is an Associate Professor in the School of Computing Sciences and Mathematics at Mount Royal University. He received his Ph.D. degree in Computer Science from the University of Calgary in 2020 and his MSc from the Iran University of Science and Technology in 2011. With over 15 years of teaching and research experience, Dr. Salmani leads an active research program in data security and privacy. His work focuses on preserving the privacy of outsourced personal data in cloud servers, big data privacy, privacy and security in the Internet of Things (IoT), privacy in healthcare systems, and usable privacy. His research combines technical innovation with human-centered approaches, designing practical tools and frameworks to enhance privacy and security while considering real-world user behavior.
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