Scott Seidenberger (University of Oklahoma), Marc Beret (University of Oklahoma), Raveen Wijewickrama (University of Texas at San Antonio), Murtuza Jadliwala (University of Texas at San Antonio), Anindya Maiti (University of Oklahoma)

We introduce NinjaDoH, a novel DNS over HTTPS (DoH) protocol that leverages the InterPlanetary Name System (IPNS), along with public cloud infrastructure, to create a censorship-resistant moving target DoH service. NinjaDoH is specifically designed to evade traditional censorship methods that involve blocking DoH servers by IP addresses or domains by continually altering the server’s network identifiers, significantly increasing the complexity of effectively censoring NinjaDoH traffic without disruption of other web traffic. We also present an analysis that quantifies the DNS query latency and financial costs of running our implementation of this protocol as a service. Further tests assess the ability of NinjaDoH to elude detection mechanisms, including both commercial firewall products and advanced machine learning-based detection systems. The results broadly support NinjaDoH’s efficacy as a robust, moving target DNS solution that can ensure continuous and secure internet access in environments with heavy DNS-based censorship.

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Achieving Zen: Combining Mathematical and Programmatic Deep Learning Model...

David Oygenblik (Georgia Institute of Technology), Dinko Dermendzhiev (Georgia Institute of Technology), Filippos Sofias (Georgia Institute of Technology), Mingxuan Yao (Georgia Institute of Technology), Haichuan Xu (Georgia Institute of Technology), Runze Zhang (Georgia Institute of Technology), Jeman Park (Kyung Hee University), Amit Kumar Sikder (Iowa State University), Brendan Saltaformaggio (Georgia Institute of Technology)

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“Security issues should be addressed immediately regardless of who...

Tamara Bondar (Carleton University), Hala Assal (Carleton University)

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ZKSL: Verifiable and Efficient Split Federated Learning via Asynchronous...

Yixiao Zheng (East China Normal University), Changzheng Wei (Digital Technologies, Ant Group), Xiaodong Qi (East China Normal University), Hanghang Wu (Digital Technologies, Ant Group), Yuhan Wu (East China Normal University), Li Lin (Digital Technologies, Ant Group), Tianmin Song (East China Normal University), Ying Yan (Digital Technologies, Ant Group), Yanqing Yang (East China Normal University), Zhao…

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