Research Article
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 |
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