Real-Time Malware Process Detection and Automated Process Killing

Table 1

Real-time malware detection literature problems considered.

	Problem considered
Ref.	(1) Signal separation	(2) Early detection	(3) Quick classification/latency	(4) Impact of automated actions	Resource consumption	Real-time tested	Malware types	OS	# Samples	Features	Algorithm
[19]			X		X		General	Linux	200	HPCs	Boosted DT
[15]			X		X		General	Linux	200	HPCs	Boosted DT
[20]		X	X		X	X	General	Linux	798	API calls	MLP
[21]		X			X	X	General	Windows	1,554	Memory addresses, instructions	NN
[22]			X			X	General	Windows, linux	500	API calls	NN
[23]	X	X	X			X	General	Windows	9,992	API calls	RF + NN
[24]		X	X	X		X	Crypto ransomware	Windows	497	File data	Rules