代码搜索:Detects

找到约 419 项符合「Detects」的源代码

代码结果 419
www.eeworm.com/read/473927/6825952

txt 122-16.txt

Rule: -- Sid: 122-16 -- Summary: This event is generated when the pre-processor sfPortscan detects network traffic that may constitute an attack. Specifically an ip filtered distributed protocol s
www.eeworm.com/read/473927/6826049

txt 122-24.txt

Rule: -- Sid: 122-24 -- Summary: This event is generated when the pre-processor sfPortscan detects network traffic that may constitute an attack. Specifically a udp filtered distributed portscan w
www.eeworm.com/read/473927/6826062

txt 122-5.txt

Rule: -- Sid: 122-5 -- Summary: This event is generated when the pre-processor sfPortscan detects network traffic that may constitute an attack. Specifically a tcp filtered portscan was detected.
www.eeworm.com/read/473927/6826083

txt 122-2.txt

Rule: -- Sid: 122-2 -- Summary: This event is generated when the pre-processor sfPortscan detects network traffic that may constitute an attack. Specifically a tcp decoy portscan was detected. --
www.eeworm.com/read/432373/8608492

m oldfindpeaks.m

function P=findpeaks(x,y,SlopeThreshold,AmpThreshold,smoothwidth,peakgroup) % Function to locate the positive peaks in a noisy x-y data % set. Detects peaks by looking for downward zero-crossings
www.eeworm.com/read/432373/8608550

m findpeaks.m

function P=findpeaks(x,y,SlopeThreshold,AmpThreshold,smoothwidth,peakgroup) % Function to locate the positive peaks in a noisy x-y data % set. Detects peaks by looking for downward zero-crossings
www.eeworm.com/read/182359/9206787

m findpeaks.m

function P=findpeaks(x,y,SlopeThreshold,AmpThreshold,smoothwidth,peakgroup) % Function to locate the positive peaks in a noisy x-y data % set. Detects peaks by looking for downward zero-crossings
www.eeworm.com/read/375962/9341340

c siftfeat.c

/* This program detects image features using SIFT keypoints. For more info, refer to: Lowe, D. Distinctive image features from scale-invariant keypoints. International Journal of Computer V
www.eeworm.com/read/163927/10139614

m detectorhr.m

function [IMP_POINTS,RESULT]=detectorHR(IMAGE, sg, n, halfSurSize,typ) % detects significant points using the Harris' method % [IMP_POINTS,RESULT]=detectorHR(IMAGE, r, n, halfSurSize) % % IMP
www.eeworm.com/read/418779/10898564

txt 119-15.txt

Rule: -- Sid: 119-15 -- Summary: This event is generated when the pre-processor http_inspect detects network traffic that may constitute an attack. -- Impact: Unknown. This may indicate an at