Abstract
This chapter models the execution of a software process as a discrete event system that can be represented by a Deterministic Finite State Automaton (DFSA) in the discrete event setting. Supervisory Control Theory (SCT) is applied for on-line detection of malicious executables and prevention of their spreading. The language measure theory, described in Chapter 1, is adapted for performance evaluation and comparison of the unsupervised process automaton and five different supervised process automata. Simulation experiments under different scenarios show the rate of correct detection of malicious executables to be 88.75%.
Original language | English (US) |
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Title of host publication | Quantitative Measure for Discrete Event Supervisory Control |
Publisher | Springer New York |
Pages | 239-259 |
Number of pages | 21 |
ISBN (Print) | 0387021086, 9780387021089 |
DOIs | |
State | Published - 2005 |
Externally published | Yes |
Keywords
- Discrete Event Supervisory Control
- Language Measure
- Malicious Executable
- Software Systems
ASJC Scopus subject areas
- General Computer Science