SRA: Smart Recovery Advisor for Cyber Attacks
Summary: Proposes SRA, a machine-learning–driven advisor integrated with CDP-based recovery to guide restore-point selection during crypto-ransomware. Delivers interpretable, data-driven, feedback-aware recommendations to cut trial-and-error restores and minimize data loss. (summarized by gpt-5-nano on Feb 09 2026)
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Authors
- 1. Ka-Ho Chow (Georgia Institute of Technology)
- 2. Umesh Deshpande (IBM)
- 3. Sangeetha Seshadri (IBM)
- 4. Ling Liu (Georgia Institute of Technology)
BibTeX Citation
@inproceedings{chow_sigmod21,
title = {{SRA: Smart Recovery Advisor for Cyber Attacks}},
author = {Chow, Ka-Ho and Deshpande, Umesh and Seshadri, Sangeetha and Liu, Ling},
series = {{SIGMOD} '21},
booktitle = {Proceedings of the {ACM} {SIGMOD} International Conference on Management of Data},
publisher = {Association for Computing Machinery},
doi = {10.1145/3448016.3452766},
url = {https://dl.acm.org/doi/10.1145/3448016.3452766},
year = {2021}
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