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For both public and secret key encryption, the problem arises as to how keys are distributed in a secure manner. For secret key methods this is an obvious problem. Both a client and a server object need to be equipped with the same key. They need to obtain the key in such a way that no other object gets access to the key. In military encryption applications, keys are distributed by non-networked means, such as a messenger, but this is not feasible in a distributed object system. H ence, for distributed object applications, keys need to be distributed via the network too. While in transit, however, the key must be secured against eavesdropping and tampering, otherwise third parties could use the key for successive eavesdropping or message tampering. Keydistribution is also a problem, though less obvious, for public keymethods. The request parameters that a client transmits should onlybecome known to the desired server object. It is therefore important that the public key that the client uses for encrypting the message is the public key of the desired server object rather than a public key that was generated by an attacker. This can be achieved if a trusted key distribution service is used. A key distribution service for both public and secret key encryption methods takes care of distributing keys between objects. A key distribution service has to be a trusted service and the registration of objects with that service has to be trustworthy, too. We now discuss the Needham/Schroeder protocol, upon which most keydistribution services are based. There are different versions of the Needham/Schroeder protocol for secret and for public keys. We first consider the secret key distribution protocol because it is simpler.

A leakage is the disclosure of information to unauthorized parties. The damage that can be caused through leakage greatly varies depending on the nature of the information and the relationship between the attacker and the owner of the information. Leakage may lead to loss of business: if videos are leaked from a video-on-demand server then attackers can watch the videos without paying. Leakage may also lead to a loss of privacy, for example, if the financial standing of an account owner is disclosed to third parties. Leakage may also have effects that are more damaging than the loss of privacy.

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A block of plain-text data is split in half. One half of the data is operated on by the function, F, which carries out a re-ordering (shuf ing) of the bits in the block, according to a subkey , (SK1). The output of the re-ordering is then OR ed with the untreated half. The halves are then swapped over and the same re-ordering function now applied to the other half. Note that the re-ordering function is still the same, but its effect on the data may be different because it is controlled by a new subkey, (SK2). The process can be repeated over and over. Feistel ciphers are convenient to decrypt, because the process of encryption is simply reversed, applying the subkeys in reverse order. The re-ordering functions are chosen such that their detailed operation on the data is dif cult to decipher without knowing the sub-keys. Thus the re-ordering functions can be made public.

where b is the vector of biases and M is the calibration matrix of scale factors and misalignments. The 3 components of the bias vector b and 9 elements of the calibration matrix Mcal make up the 15 sensor parameters for each type of sensor (i.e., accelerometer or gyroscope), making a total of 30 sensor parameters in the system state vector used for analysis. For instrument compensation, it is usually preferred to have the model in compensation form, as vinput Mcomp vout b ; where the misalignment and scale factor compensation matrix would be Mcomp M 1 : cal However, for the purposes of covariance analysis, it will be more convenient to use the calibration form of the scale factor and misalignment matrix shown in Eq. 8.40. 8.6.3.2 Measurement Model The 30 equivalent sensors include 3 accelerometers, 3 gyroscopes, and 24 or more potential GPS receiver channels, the outputs of which are pseudoranges and Doppler rates to the satellites in view. The GPS receiver can only track the satellites in view, and we model this by setting to zero the measurement sensitivities of receiver channels to GPS satellites occluded by the earth. Measurement Variables will be The elements of the measurement vector for this model

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In addition to interfering with function in the ascending and descending tracts, a spinal cord lesion may disturb sensory input, re ex activity and lower motor neurone out ow at the level of the lesion These segmental features may be unilateral or bilateral, depending on the nature of the causative pathology Chief amongst the segmental symptoms and signs are: pain in the spine at the level of the lesion (caused by the pathological causative process); pain, paraesthesiae or sensory loss in the relevant dermatome (caused by involvement of the dorsal nerve root, or dorsal horn, in the lesion); lower motor neurone signs in the relevant myotome (caused by involvement of the ventral nerve root, or ventral horn, in the lesion); loss of deep tendon re exes, if re ex arcs which can be assessed clinically are present at the relevant level.

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