000			01454nam a2200169 a 4500
005			20260901030331.0
008			250101s2020 xx o 000 0 eng d
100	1		_aMir Hassan
245	1	0	_aImplementation of Security Systems for Detection and Prevention of Data Loss/Leakage at Organization via Traffic Inspection
264		1	_barXiv _c2020
336			_atext
338			_aonline resource
520			_aData Loss/Leakage Prevention (DLP) continues to be the main issue for many large organizations. There are multiple numbers of emerging security attach scenarios and a limitless number of overcoming solutions. Today's enterprises' major concern is to protect confidential information because a leakage that compromises confidential data means that sensitive information is in competitors' hands. Different data types need to be protected. However, our research is focused only on data in motion (DIM) i-e data transferred through the network. The research and scenarios in this paper demonstrate a recent survey on information and data leakage incidents, which reveals its importance and also proposed a model solution that will offer the combination of previous methodologies with a new way of pattern matching by advanced content checker based on the use of machine learning to protect data within a
506	0		_aOpen access — freely available to read.
856	4	0	_uhttps://arxiv.org/pdf/2012.14111v1 _yRead the full paper (PDF)
942			_cERES
999			_c646 _d646