Security and Privacy Protection in Information Processing by Lech J. Janczewski, Henry B. Wolfe, Sujeet Shenoi
By Lech J. Janczewski, Henry B. Wolfe, Sujeet Shenoi
This e-book constitutes the refereed court cases of the twenty eighth IFIP TC eleven overseas details safeguard and privateness convention, SEC 2013, held in Auckland, New Zealand, in July 2013. The 31 revised complete papers awarded have been conscientiously reviewed and chosen from eighty three submissions. The papers are prepared in topical sections on malware, authentication and authorization, community security/cryptography, software program safety, coverage compliance and tasks, privateness defense, probability research and protection metrics, social engineering, and safeguard management/forensics.
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However, nodes that have recovered from an infection are still susceptible to the specific worm since no immunisation against it is included. In this case the model is transformed into a SIS model where the system reaches an equilibrium where the number of infected nodes and the number of susceptible nodes stay almost constant. The model is depicted in Figure 2. The mathematical specification of Removal Strategy is given in Equations 14 and 15. Again, S refers to the susceptible population and I refers to the infected population.
References 1. : A survey of game theory as applied to network security. In: 2010 43rd Hawaii International Conference on System Sciences (HICSS), pp. 1–10 (January 2010) 2. : FlipIt: the game of “Stealthy takeover”. Technical Report 103 (2012) 3. : Stochastic Epidemic Models and Their Statistical Analysis. Springer (July 2000) 4. : A contribution to the mathematical theory of epidemics. Proceedings of the Royal Society of London. Series A 115(772), 700–721 (1927) 5. : Contributions to the mathematical theory of epidemics.
Removal Strategy Model The mathematical specification of the Patch Strategy is given in Equations 11,12 and 13, where S is the susceptible population, I is the infected population and R is the immune population. β is the probability that a susceptible node gets infected in each time unit, also regarded as infection fraction, and γ is the immunisation rate. dS = −βIS − γS dt (11) dI = βIS dt (12) dR = γS dt (13) Removal Strategy: When Removal Strategy is used, infected nodes can recover from the infection when the worm is detected and removed.