000 02286cam a22003378a 4500
005 20250918143823.0
008 110808s2011 flua b 001 0 eng
020 _a9781439839423 (hardback)
_cRM257.28
039 9 _a201206201602
_badnan
_c201206081629
_dmasrul
_y08-08-2011
_zmasrul
040 _aDLC
_cDLC
_dUKM
090 _aC18.D863 2
090 _aC18
_b.D863 2
100 1 _aDua, Sumeet.
245 1 0 _aData mining and machine learning in cybersecurity /
_cSumeet Dua, Xian Du.
260 _aBoca Raton :
_bTaylor & Francis,
_c2011.
300 _axxii, 234 p. :
_bill. ;
_c24 cm.
504 _aIncludes bibliographical references and index.
520 _a'Introducing basic concepts of machine learning and data mining methodologies for cyber security, this book provides a unified reference for specific machine learning solutions and cybersecurity problems. The authors focus on how to apply machine learning methodologies in cybersecurity, categorizing methods for detecting, scanning, profiling, intrusions, and anomalies. The text presents challenges and solutions in machine learning along with cybersecurity fundamentals. It also describes advanced problems in cybersecurity in the machine learning domain and examines privacy-preserving data mining methods as a proactive security solution'--
_cProvided by publisher.
520 _a'This interdisciplinary assessment is especially useful for students, who typically learn cybersecurity, machine learning, and data mining in independent courses. Machine learning and data mining play significant roles in cybersecurity, especially as more challenges appear with the rapid development of information discovery techniques, such as those originating from the sheer dimensionality and heterogeneous nature of the network data, the dynamic change of threats, and the severe imbalanced classes of normal and anomalous behaviors'--
_cProvided by publisher.
650 0 _aData mining.
650 0 _aMachine learning.
650 0 _aComputer security.
700 1 _aDu, Xian.
907 _a.b15124708
_b2021-05-28
_c2019-11-12
942 _c01
_n0
_kC18.D863 2
914 _avtls003475324
990 _amab
991 _aFakulti Undang-Undang
998 _au
_b2011-08-08
_cm
_da
_feng
_gflu
_y0
_z.b15124708
999 _c496800
_d496800