Yang Shi (Tongji University), Tianchen Gao (Tongji University), Yimin Li (Tongji University), Jiayao Gao (Tongji University), Kaifeng Huang (Tongji University)

Encryption algorithms face various key-extraction attacks, prompting a variety of defensive works under different threat models. Among these, the white-box threat model has the strongest adversarial scenario, where attackers have full access to and control over the cryptographic implementation and its execution environment. However, prior white-box encryption designs primarily protected a single key-dependent table, enabling white-box and side-channel attacks to recover the key. Based on our observation, fuzzing the boundaries of these tables can make attacks ineffective. Thus, we proposed WBSLT, a novel design framework for tabulated white-box implementations of substitution-linear transformation (SLT) ciphers. WBSLT protects key-embedded tables with linear and nonlinear transformations and partially leaves each component’s computation to the next component to mitigate single key-dependent table breach. To further defend against differential computation analysis and differential fault analysis, the framework integrates masking, shuffling and external encoding. Theoretical analysis indicates its immunity to various attacks. Experimental results validate the practicality of WBSLT across multiple computing platforms, showing efficient encryption performance and reasonable memory consumption.

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Zhen Huang (Shanghai Jiao Tong University), Yidi Kao (Auburn University), Sanchuan Chen (Auburn University), Guoxing Chen (Shanghai Jiao Tong University), Yan Meng (Shanghai Jiao Tong University), Haojin Zhu (Shanghai Jiao Tong University)

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Dev Vikesh Doshi (California State University San Marcos), Mehjabeen Tasnim (California State University San Marcos), Fernando Landeros (California State University San Marcos), Chinthagumpala Muni Venkatesh (California State University San Marcos), Daniel Timko (Emerging Threats Lab / Smishtank.com), Muhammad Lutfor Rahman (California State University San Marcos)

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Select-Then-Compute: Encrypted Label Selection and Analytics over Distributed Datasets...

Nirajan Koirala (University of Notre Dame), Seunghun Paik (Hanyang University), Sam Martin (University of Notre Dame), Helena Berens (University of Notre Dame), Tasha Januszewicz (University of Notre Dame), Jonathan Takeshita (Old Dominion University), Jae Hong Seo (Hanyang University), Taeho Jung (University of Notre Dame)

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