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README.md

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@@ -21,6 +21,18 @@ Here we share the results of our experiments with the community. All of the resu
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2. [mimosa_cost_results.xlsx](./stats/mimosa_cost_results.xlsx): Results of running each sample under different configuration and their resulting I/O, Memory, CPU utilization per config per sample. These numbers are the basis of our cost model for covering algorithm described in [covering-alg/README.md](./covering-alg/README.md).
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3. [mimosa_VMs.xlsx](./stats/mimosa_VMs.xlsx): Contains VM mapping, sample attributes, some plots, and statistics.
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# Citing MIMOSA
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MIMOSA has been submitted for publication as a journal paper at the IEEE Transactions on Dependable and Secure Computing (TDSC). Until its acceptance you can cite this research using the following:
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```tex
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@misc{2101.07328,
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Author = {Mohsen Ahmadi and Kevin Leach and Ryan Dougherty and Stephanie Forrest and Westley Weimer},
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Title = {MIMOSA: Reducing Malware Analysis Overhead with Coverings},
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Year = {2021},
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Eprint = {arXiv:2101.07328},
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}
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```
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# Acknowledgement
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We gratefully acknowledges the partial support of [NSF(CCF 1908633)](https://www.nsf.gov/awardsearch/showAward?AWD_ID=1908633), DARPA ([FA8750-19C-0003](https://govtribe.com/award/federal-contract-award/definitive-contract-fa875019c0003), [N6600120C4020](https://www.federalcompass.com/award-contract/N6600120C4020)),AFRL ([FA8750-19-1-0501](https://govtribe.com/award/federal-idv-award/indefinite-delivery-contract-fa875019d0004)), and the Santa Fe Institute. Any opinions, findings, and conclusions in this paper are those of the authors and do not necessarily reflect the views of oursponsors. The opinions in the work are solely of the authors, and do not necessarily reflect those of the U.S. Army, U.S.Army Research Labs, the U.S. Military Academy, or the Department of Defense (DoD).
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We also thank the anonymous reviewers for their valuable comments and suggestions, and the Avira company,Alexander Vukcevic, Director of Protection Labs and QA, and Shahab Hamzeloofard for helping us with determining provenance of our malware samples.

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