Intrusion Detection Using Data Mining

Saved in:

Bibliographic Details
Main Author:	Puthran Shubha
Format:	Thesis Book
Language:	English
Published:	Mumbai NMIMS 2019
Subjects:	Intrusion detection > Intrusion Detection Systems > Anomaly Detection > Misuse Detection > Hybrid Detection
Tags:	Add Tag No Tags, Be the first to tag this record!

MARC


LEADER	00000nam a2200000 4500
008	210929b xxu\|\|\|\|\| \|\|\|\| 00\| 0 eng d
999		\|c 406360 \|d 406360
100		\|a Puthran Shubha \|9 43469
245		\|a Intrusion Detection Using Data Mining
260		\|a Mumbai \|b NMIMS \|c 2019
300		\|a i-xiii,150
502		\|a 1-CD \|b Ph.D \|c NMIMS(MPSTME) \|d 2019
504		\|a Shah Ketan
650		\|a Intrusion detection \|a Intrusion Detection Systems \|a Anomaly Detection \|a Misuse Detection \|a Hybrid Detection \|9 43588
952		\|0 0 \|1 0 \|2 ddc \|4 0 \|7 0 \|9 469464 \|a 00004532 \|b 00004532 \|d 2021-09-29 \|l 0 \|p SBMPH266 \|r 2021-09-29 \|w 2021-09-29 \|y PH