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This dataset consists of control flow graphs (CFGs) of malware and benign binary files. Due to the security risk of sharing malware binary files online, these binary files are not shared. However, the hash values of the binaries are given for information. The dataset is associated with the software available at https://github.com/MSUSEL/unsupervised-graph (link may change). A manuscript outlining the problem and software solution, titled "Malware Detection Using Unsupervised Clustering of Binary File Control Flow Graphs," is under review for publication in IEEE Transactions on Information Forensics and Security. Upon publication, the related identifiers for both the code and the paper will be updated.
Dataset; Malware Identification; Control Flow Graph
Dataset; Malware Identification; Control Flow Graph
| selected citations These citations are derived from selected sources. This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | 0 | |
| popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network. | Average | |
| influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | Average | |
| impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network. | Average |
| views | 3 | |
| downloads | 3 |

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