WebThis problem is by no means constrained todoc data or to zero-entropy features. Text data exhibits similar properties with raw false positive rates staying above 10% for entropy scores up to 180 [15]. At thesametime, theweak features account forless than 2% ofthetotal number of features. Eliminating weak features from consideration can WebKeywords: Data fingerprinting; Similarity digests; Fuzzy hashing; TF-IDF; Cosine-similarity. About. python implementation of Chang, et al's FbHash algorithms for generating similarity preserving cryptographic hashes Resources. Readme License. MIT license Stars. 0 stars Watchers. 1 watching Forks. 1 fork
Data Fingerprinting with Similarity Digests SpringerLink
WebState-of-the-art techniques for data fingerprinting have been based on randomized feature selection pioneered by Rabin in 1981. This paper proposes a new, statistical approach for selecting fingerprinting features. The approach relies on entropy estimates and a sizeable empirical study to pick out the features that are most likely to be unique to a data object … WebAug 1, 2011 · The results show that the similarity digest approach significantly outperforms in terms of recall and precision in all tested scenarios and demonstrates robust and scalable behavior. ... Data fingerprinting with similarity digests. In: Chow, K.-P., Shenoi, S. (Eds.), Advances in digital forensics VI, IFIP AICT, 337. pp. 207-225. Google Scholar; birch vs white birch
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WebMar 22, 2024 · Data Fingerprinting with Similarity Digests. Vassil Roussev; Computer Science. IFIP Int. Conf. Digital Forensics. 2010; TLDR. A new, statistical approach that relies on entropy estimates and a sizeable empirical study to pick out the features that are most likely to be unique to a data object and, therefore, least likely to trigger false ... WebOct 15, 2024 · Similarity measures may also be used to establish links between media and, by extension, the individuals or organizations associated with the media. ... V. Roussev, Data fingerprinting with similarity digests, in Advances in Digital Forensics VI, K. Chow and S. Shenoi (Eds.), Springer, Berlin Heidelberg, Germany, pp. 207–226, 2010. WebDATA FINGERPRINTING WITH SIMILARITY DIGESTS Vassil Roussev Abstract State-of-the-art techniquesfor data ngerprinting are based on random-ized feature selection … dallas school district schedule