The Detection Method for Two-Dimensional Barcode Malicious URLs Based on the Hash Function
Xuan Jiang, Yongzhen Li · 2016
With the expanding application of the two-dimensional barcode, the harmfulness of malicious URLs is much more serious. For preventing malicious URLs of two-dimensional barcode, this paper proposes a detection method -- H-SBH which is utilizing hash function. Firstly, the detection system extracts eigenvalues of malicious and benign URLs by H-SBH, then builds black and white lists library based on the eigenvalues, after that, matches URLs with lists library. Finally, the detection system gives the user safety tips according to match results. The experimental results indicated that this method was efficient and feasible for detecting the malicious URLs in two-dimensional barcodes.