TY - JOUR
T1 - A Hybrid Spam Detection Method Based on Unstructured datasets
AU - Shao, Yeqin
AU - Trovati, Marcello
AU - Shi, Quan
AU - Angelopoulou, Olga
AU - Asimakopoulou, Eleana
AU - Bessis, Nik
PY - 2015/12/21
Y1 - 2015/12/21
N2 - The identification of non-genuine or malicious messages poses a variety of challenges due to the continuous changes in the techniques utilised by cyber-criminals. In this article, we propose a hybrid detection method based on a combination of image and text spam recognition techniques. In particular, the former is based on sparse representation based classification, which focuses on the global and local image features, and a dictionary learning technique to achieve a spam and a ham subdictionary. On the other hand, the textual analysis is based on semantic properties of documents to assess the level of maliciousness. More specifically, we are able to distinguish between meta-spam and real spam. Experimental results show the accuracy and potential of our approach.
AB - The identification of non-genuine or malicious messages poses a variety of challenges due to the continuous changes in the techniques utilised by cyber-criminals. In this article, we propose a hybrid detection method based on a combination of image and text spam recognition techniques. In particular, the former is based on sparse representation based classification, which focuses on the global and local image features, and a dictionary learning technique to achieve a spam and a ham subdictionary. On the other hand, the textual analysis is based on semantic properties of documents to assess the level of maliciousness. More specifically, we are able to distinguish between meta-spam and real spam. Experimental results show the accuracy and potential of our approach.
U2 - 10.1007/s00500-015-1959-z
DO - 10.1007/s00500-015-1959-z
M3 - Article (journal)
SN - 1432-7643
VL - 21
SP - 233
EP - 243
JO - Soft Computing - A Fusion of Foundations, Methodologies and Applications
JF - Soft Computing - A Fusion of Foundations, Methodologies and Applications
IS - 1
ER -