Date of Submission
2-1-2009
Date of Award
2-1-2009
Institute Name (Publisher)
Indian Statistical Institute
Document Type
Doctoral Thesis
Degree Name
Doctor of Philosophy
Subject Name
Statistics
Department
Applied Statistics Unit (ASU-Kolkata)
Supervisor
Sarkar, Palash
Abstract (Summary of the Work)
This thesis presents a comprehensive study of collision attacks on the SHA-2 cryptographic hash family, focusing on both linearized and nonlinear differential techniques. We systematically analyze 9-round local collisions for the SHA-2 round function, identifying 16 new linearized local collisions with no conflicting conditions, improving upon the Gilbert-Handschuh local collision. Utilizing one of these, we develop an efficient algorithm to generate colliding message pairs for 18-round SHA-256, along with novel differential paths for 19–23 rounds using coding-theoretic methods.
Extending to nonlinear attacks, we provide a unified combinatorial framework for 9-round nonlinear local collisions, generalizing the Nikolić-Biryukov construction and introducing a new local collision (SS) with superior properties. This enables deterministic collisions up to 22 rounds and improved attacks up to 24 rounds for both SHA-256 and SHA-512, yielding the first explicit 24-round SHA-512 colliding pair. These results outperform prior work in complexity and simplicity.
Finally, we propose enhancements to the SHA-2 design, including affine transformations, mixed modular/XOR operations, multiple feed-forward within rounds, and cross-block feed-forward. The resulting SShash family maintains near-identical efficiency while resisting all known reduced-round attacks and generic multi-collision techniques. Our work advances the understanding of SHA-2 security and offers practical directions for strengthening hash function designs.
Control Number
TH679
DOI
https://dspace.isical.ac.in/jspui/handle/10263/7654
DSpace Identifier
http://hdl.handle.net/10263/7655
Recommended Citation
Sanadhya, Somitra Kumar, "A Study of the SHA-2 Cryptographic Hash Family" (2009). Doctoral Theses. 635.
https://digitalcommons.isical.ac.in/doctoral-theses/635
Comments
System generated Abstract