000			01724nam a2200385Ia 4500
000			06350nam a22004095i 4500
001			978-3-031-20099-1
003			DE-He213
005			20240319121153.0
007			cr nn 008mamaa
008			230112s2023 sz | s |||| 0|eng d
020			_a9783031200991 _9978-3-031-20099-1
082			_a5.8
245			_aMachine Learning for Cyber Security _cedited by Yuan Xu, Hongyang Yan, Huang Teng, Jun Cai, Jin Li. _h[electronic resource] :
250			_a1st ed. 2023.
260			_aCham _bSpringer Nature Switzerland _c2023
300			_aXVII, 625 p. 212 illus., 142 illus. in color. _bonline resource.
520			_aThe three-volume proceedings set LNCS 13655,13656 and 13657 constitutes the refereed proceedings of the 4th International Conference on Machine Learning for Cyber Security, ML4CS 2022, which taking place during December 2-4, 2022, held in Guangzhou, China. The 100 full papers and 46 short papers were included in these proceedings were carefully reviewed and selected from 367 submissions.
650			_aArtificial intelligence. _940147
650			_aArtificial Intelligence. _940148
650			_aComputer Engineering and Networks. _940149
650			_aComputer engineering. _940150
650			_aComputer networks . _940151
650			_aComputer System Implementation. _940152
650			_aComputer systems. _940153
650			_aData and Information Security. _940154
650			_aData protection. _940155
700			_aCai, Jun. _940156
700			_aLi, Jin. _940157
700			_aTeng, Huang. _940158
700			_aXu, Yuan. _940159
700			_aYan, Hongyang. _940160
856			_uhttps://doi.org/10.1007/978-3-031-20099-1
942			_cEBK _2ddc
999			_c15925 _d15925