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SecureWave. Their product for device control is called Sanctuary. Here s some information from SecureWave regarding this product: Sanctuary controls the use of a vast range of devices that are key sources of security breaches, and manages and audits device usage according to their type and not on how they are connected. If needed, Sanctuary Device Control can be set to completely block USB ports or any other port (Bluetooth, FireWire, IrDA, Wi-Fi, etc.) or prevent access to any device category independently from the way users are attempting to connect them. Granular policies also allow for access rights (R/W) down to unique device model or identifiable unit per user or user group. Implementing a solution such as this would not only control the malware threat that BlackBerrys can bring to an enterprise; it can also help with other threats.

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Xn Rp Rt =2 ktr; M M M ktr; S M S ktr; I M I 3-106

A chain-transfer constant C for a substance is de ned as the ratio of the rate constant ktr for the chain transfer of a propagating radical with that substance to the rate constant kp for propagation of the radical. The chain-transfer constants for monomer, chain-transfer agent, and initiator are then given by

CM ktr;M kp CS ktr;S kp CI ktr;I kp 3-107

d -mlp(z)

which show the quantitative effect of the various transfer reactions on the number-average degree of polymerization. Various methods can be employed to determine the values of the chain-transfer constants. Equation 3-108 is often called the Mayo equation.

When disproportionation is important, this can be taken into account by reverting back to Eq. 3-105 to derive the most general form of the Mayo equation:

The threats BlackBerrys and other mobile devices bring to the enterprise aren t always straightforward. This chapter has defined a number of these threats and has provided solutions for how to address them. Some important items to remember are

3-6b 3-6b-1

Two special cases of Eq. 3-108a,b are of interest. When a chain-transfer agent is absent, the term in [S] diappears and

(8.11)

Equation 3-109 is quadratic in Rp and the appropriate plot of 1=X n versus Rp in Fig. 3-5 for styrene polymerization shows the effect to varying degrees depending on the initiator [Baysal and Tobolsky, 1952]. The initial portion of the plot is linear, but at higher concentrations of initiator and therefore high values of Rp the plot deviates from linearity as the contribution of transfer to initiator increases. The intercept of the linear portion yields the 2 value of CM . The slope of the linear portion is given by kt =kp M 2 from which the important 2 quantity kp =kt can be determined since the monomer concentration is known. For systems in which chain transfer to initiator is negligible a plot of 1=X n versus Rp will be linear over the whole range. Several methods are available for the determination of CI . Equation 3-109 can be rearranged and divided through by Rp to yield

! 1 1 kt C I kt R p CM 2 2 Rp kp M 2 kp fkd M 3 Xn 3-110

A plot of the experimental data as the left side of Eq. 3-110 versus Rp yields a straight line 2 whose slope is (CI kt =kp fkd M 3 ). The initiator transfer constant can be determined from the slope because the various other quantities are known or can be related to known quantities through Eq. 3-32. When chain transfer to monomer is negligible, one can rearrange Eq. 3109b to yield

Enterprises need to realize that sensitive company data can be copied to BlackBerrys. Once that data is copied, it is no longer in the enterprise s control. Enterprises can put solutions into place to control whether their data can be copied to BlackBerry devices. Some BlackBerrys are capable of providing Internet access to PCs. This capability introduces significant security threats to the enterprise and these threats need to be addressed directly. BlackBerrys can introduce malware into the enterprise. This threat needs to be recognized and mitigated.

So the MLP of size behaves in much the same way as the MLP of size 1.1.1 = -, f m . However, the behavior I moves parallel to one or more of the decision boundaries is harder to see. 8.5.3

" # 1 kt Rp I CI 2 M X n kp M 2 3-111

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