000			01881nam a2200421Ia 4500
000			06593nam a22004455i 4500
001			978-3-031-20102-8
003			DE-He213
005			20240319120800.0
007			cr nn 008mamaa
008			230112s2023 sz | s |||| 0|eng d
020			_a9783031201028 _9978-3-031-20102-8
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, 691 p. 306 illus., 181 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			_aApplication software. _928542
650			_aArtificial intelligence. _928543
650			_aArtificial Intelligence. _928544
650			_aComputer and Information Systems Applications. _928545
650			_aComputer Engineering and Networks. _928546
650			_aComputer Engineering and Networks. _928546
650			_aComputer engineering. _928547
650			_aComputer networks . _928548
650			_aComputer vision. _928549
650			_aComputer Vision. _928550
650			_aData and Information Security. _928551
650			_aData protection. _928552
700			_aCai, Jun. _928553
700			_aLi, Jin. _928554
700			_aTeng, Huang. _928555
700			_aXu, Yuan. _928556
700			_aYan, Hongyang. _928557
856			_uhttps://doi.org/10.1007/978-3-031-20102-8
942			_cEBK _2ddc
999			_c14968 _d14968