Packet Payload Monitoring for Internet Worm Content Detection Using Deterministic Finite Automaton with Delayed Dictionary Compression

Table 1

Review of literature for detection of Internet worms.

Year	Author	Technique(s) used	Parameters used	Observations
2009	Toutonji and Yoo [1]	Passive worm dynamic quarantine	quarantine rate of infected hosts and quarantine rate of susceptible and passive hosts	Effectively decreases both the number of infectious hosts and worm propagation speeds. Widespread worm propagation maximizes quarantine rate.
2010	Yu et al. [23]	Game theory	(i) Infection rate; (ii) False positive rate	Propagation patterns minimize the detection probability.
2010	Zaki and Hamouda [24]	Worm spreading reduction multiagent system (WSRMAS)	Infection percentage and Immunity percentage	Worm spreading stopped through multiagent.
2011	Yu et al. [22]	Spectrum-based scheme	(i) Detection rate; (ii) Maximal infection ratio	Power spectral density shows low frequency bands.
2013	Amador and Artalejo [20]	Block-structured state-dependent event (BSDE)	(i) Scalar parameters (population size); (ii) (contact rate); (iii) (individual recovery rate); (iv) (external rate of infection); (v) (warning rate)	Reduces the propagation of virus by adding warning signals; Better network security provided by BSDE model