Paul Maxwell, David Niblick, and Daniel Ruiz

This dataset is composed of side channel information (e.g., temperatures, voltages, utilization rates) from computing systems executing benign and malicious code.  The intent of the dataset is to allow aritificial intelligence tools to be applied to malware detection using side channel information.

DOI Link: 
10.21227/r16m-tf05
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Dataset Files

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[1] Paul Maxwell, David Niblick, Daniel Ruiz, "Side Channel Data for Malware Intrusion Detection", IEEE Dataport, 2020. [Online]. Available: http://dx.doi.org/10.21227/r16m-tf05. Accessed: Dec. 11, 2024.
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doi = {10.21227/r16m-tf05},
url = {http://dx.doi.org/10.21227/r16m-tf05},
author = {Paul Maxwell; David Niblick; Daniel Ruiz },
publisher = {IEEE Dataport},
title = {Side Channel Data for Malware Intrusion Detection},
year = {2020} }
TY - DATA
T1 - Side Channel Data for Malware Intrusion Detection
AU - Paul Maxwell; David Niblick; Daniel Ruiz
PY - 2020
PB - IEEE Dataport
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Paul Maxwell, David Niblick, Daniel Ruiz. (2020). Side Channel Data for Malware Intrusion Detection. IEEE Dataport. http://dx.doi.org/10.21227/r16m-tf05
Paul Maxwell, David Niblick, Daniel Ruiz, 2020. Side Channel Data for Malware Intrusion Detection. Available at: http://dx.doi.org/10.21227/r16m-tf05.
Paul Maxwell, David Niblick, Daniel Ruiz. (2020). "Side Channel Data for Malware Intrusion Detection." Web.
1. Paul Maxwell, David Niblick, Daniel Ruiz. Side Channel Data for Malware Intrusion Detection [Internet]. IEEE Dataport; 2020. Available from : http://dx.doi.org/10.21227/r16m-tf05
Paul Maxwell, David Niblick, Daniel Ruiz. "Side Channel Data for Malware Intrusion Detection." doi: 10.21227/r16m-tf05