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have to be created, but this will also have to result in changing the IP address of the node This can cause problems in some applications In addition, this approach does not lend itself easily to those cases where node addresses are not numbers but some meaningful strings In [31] the authors propose to make use of geographical nearness of the parties involved to solve the key management problem partially The authors assume that the various nodes execute the DH protocol (see 2) As discussed there, a problem with the DH protocol is the absence of authentication during the initial key agreement As a result, an active adversary can launch a man-in-the-middle attack on a system based on the DH protocol The authors propose to address this aspect of the DH protocol using physical presence The basic idea is simple The authors propose that users set up keying material or more precisely execute the initial key agreement aspect of the DH protocol when they are in the same location, since users are assumed to recognize each other The authors devise mechanisms to ensure the integrity of the parameters (derived from the random secret that each user selects) of the DH key agreement during this initial key agreement The shared key resulting from a successful key agreement can then be used even when the users are not in close proximity to protect communications between the two users Note that in this case a man-in-the-middle attack on the parameters of the DH protocol is assumed to be infeasible on account of the small geographical separation between the entities The authors proposed three mechanisms intended to ensure the integrity of the parameters of the DH key agreement A basic assumption for all three mechanisms is that the users are in very close proximity The rst mechanism proposes that both the users check the validity of the exchanged DH public parameters by comparing them directly For example, this comparison can be done by representing the DH public parameters as a string and then by looking at the screen of the party or reading aloud the values to be compared The string can also be formed by hashing the public key parameters to ensure extra security Thus, this solution belongs to the family of solutions requiring users to compare strings of words [32 35] also propose a similar method for key veri cation in which key hashes are converted to readable words or to an appropriate graphical representation The second mechanism requires the users to estimate the distance between them This could be done using a mechanism such as distance bounding (see 7) The measured distance appears on both displays, which is veri ed by the users Finally, the users also visually check to see if there are other users/devices in the same area If this is not the case, then the exchanged DH public parameters are accepted The third mechanism makes use of integrity codes to exchange the DH public parameters These codes ensure that it is not possible to block emitted signals without being detected As a result any modi cations to the DH public parameters are detected An advantage of this approach is that it can be used in situations where the users do not share any authentication information in advance A drawback is that the system depends on the users veri ng the keys or the keying material; devices in the same area might be visually undetectable due to their small size; people might be unreliable (for accidental or malicious reasons) when dealing with meaningless strings Perrig and Song [36] address this using the concept of hash visualization to improve the security of such systems In this case the users compare structured images instead of meaningless strings Of course, comparing complex images might also not be easy We would like.

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Page 146 agenda and set of expectations The challenge for project managers is to find a way to balance these various demands in order to maintain supportive and constructive relationships with each important stakeholder group

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The operator t is renormalized with a factor 1 ; the operator A can be 2 renormalized with an arbitrary factor Generally, a parabolic process is not self-similar 525 Wavelet decomposition In this section, we expand Gaussian self-similar processes on a wavelet basis, which hence also constitutes a basis for the self-reproducing Hilbert space of the process4 5251 Gaussian elliptic processes Let u , with u Ed , be a Lemari -Meyer generating system [MEY 90] Let , with d , be the generated orthonormal basis of wavelets Let us assume that X veri es hypotheses and notations, as in Theorem 54 Let us de ne u , with u Ed , with the harmonic representation: (x) =

TF ( u )(d )

Let us then de ne the associated family of wavelets , with d THEOREM 56 ([BEN 97]) There is a sequence of normalized Gaussian normal random 2D variables such that: X(x) =

d

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