%0 Journal Article %1 journals/eswa/CohenNRE16 %A Cohen, Aviad %A Nissim, Nir %A Rokach, Lior %A Elovici, Yuval %D 2016 %J Expert Syst. Appl. %K dblp %P 324-343 %T SFEM: Structural feature extraction methodology for the detection of malicious office documents using machine learning methods. %U http://dblp.uni-trier.de/db/journals/eswa/eswa63.html#CohenNRE16 %V 63

@article{journals/eswa/CohenNRE16, added-at = {2021-03-26T00:00:00.000+0100}, author = {Cohen, Aviad and Nissim, Nir and Rokach, Lior and Elovici, Yuval}, biburl = {https://www.bibsonomy.org/bibtex/2cee6c4dfa3e169454e34046f21e25413/dblp}, ee = {https://www.wikidata.org/entity/Q56827207}, interhash = {1aa524a86a2a2b15a156591b3de8fc33}, intrahash = {cee6c4dfa3e169454e34046f21e25413}, journal = {Expert Syst. Appl.}, keywords = {dblp}, pages = {324-343}, timestamp = {2024-04-08T10:11:35.000+0200}, title = {SFEM: Structural feature extraction methodology for the detection of malicious office documents using machine learning methods.}, url = {http://dblp.uni-trier.de/db/journals/eswa/eswa63.html#CohenNRE16}, volume = 63, year = 2016 }