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Examples of TTPs include key distribution centers (KDC) and certi cate authorities (CA) A KDC, which is more like an on-line TTP, is typically used in case of systems depending on symmetric key cryptography, while a CA, which is more like an off-line TTP, is typically associated with systems depending on asymmetric key cryptography A TTP simpli es the key management process In the case of symmetric key-based systems, every user in the system is assumed to share a key with the TTP In the case of asymmetric key-based systems, every user in the system might have access to the public key of the TTP Users do not need to share secret keys with each other or know the public keys of each other The keys of other users can be obtained when necessary with the help of the TTP This results in a scalable solution since the number of symmetric keys in a system with n users is reduced from n(n 2 1)/2 (when each user has a shared secret key with every other user in the system) to n (when making use of the TTP) In addition, revocation and updating of keys is also straightforward when using a TTP, since the TTP is akin to a central authority that can easily carry out these actions In addition, the smaller number of keys is another alleviating factor The detailed operation of an on-line TTP is shown in Figure 32 in the context of symmetric key-based systems In this case a user denoted A in the gure desires to set up a secure communication channel with user B Then in the rst step (indicated as message 1 in the gure), the user requests the TTP for help in meeting this objective The communication of user A with the TTP is assumed to be encrypted using the key shared between user A and the TTP On receipt of such a request the TTP performs checks to verify the authenticity of the incoming request If the checks are satis ed, then the TTP generates the session key, that is, the key to use for the session between user A and user B The TTP then encrypts the session key using the key the TTP shares with user B, and includes this token in the message sent to user A (indicated as message 2 in the gure) In addition, this message also includes the session key outside the token This entire message (message 2 in the gure) is encrypted using the key shared between user A.

If the user cannot be authenticated, the following message will be displayed:

If the user is accepted, their name will be displayed and the system searches for their last order If the user has placed an order previously, it is presented to them and will be asked if they liked it This way the user can repeat the order or create a new one:

makes iRow = trunc(t), so that the pattern selection cycles through successive rows of P for t = 1, 2, This allows one to exercise the neural-network model by repeating N patterns defined by P over and over Other useful pattern sequences are obtained with

If the user has no previous orders, they are sent directly to the creation of a new order:

.

9

iRow = t/m iRow = k * abs(ran())

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The dialog to choose between repeating an order and creating a new one is the following:

(go to next row after m steps) (pseudorandom scrambling of successive patterns)

If the user wants to create a new order they will have to select the type, size, dough type, and quantity After this the system requests con firm ati on and die order is filled returning an order number, just as on the HTML version of the web site This sequence is illustrated in the following screenshots:

Summary

and the TTP Following this, user A decrypts the incoming message, performs checks to verify that it is communicating with the authentic TTP, and sends the token received to B in a separate message, shown in gure as message 3 On the receipt of this separate message, user B can decrypt it using the key that it shares with the TTP and thereby recover the session key Following this, secure communication between users A and B is possible using the session key We would like to remark here that, if the TTP has information that a particular user is compromised or if any of the checks fail then it can refuse to proceed with the key distribution Similarly, either of the users A or B can also refuse to proceed with the protocol if the checks that they carry out are not satis ed The approach described here is followed by Kerberos, the widely used symmetric key management system for wireline networks Key distribution when dealing with asymmetric keys can also follow a similar approach The difference, though, is that in this case the public keys of nodes have to be distributed to other nodes while the private keys will have to be kept secret by each node Since public keys do not need to be hidden, authenticity of the distribution channels is needed while con dentiality is not required at all This is as opposed to the distribution of symmetric keys, where the distribution channel has to guarantee both authenticity and con dentiality The traditional and best known approach to solving the problem of authentic distribution of public keys has been in the form of public key certi cates A public key certi cate is a statement issued by some trusted party also called the certi cation authority, which guarantees that the public key indeed belongs to the claimed user The trusted party (ie the CA) then digitally signs this statement In order to do this, the CA is assumed to have its own public private key pair Every node in the system is assumed to know the authentic public key of the CA This could be done for example by using out-of-band techniques such as direct contact In order to sign certi cates binding the public key of a node to the identity of the node, the CA might use a procedure that includes verifying the identity of the node and also verifying that the node has the private key corresponding to the public key Any node that wishes to verify the public key of another node will then just have to request the latter node to provide the certi cate signed by the CA A new node entering the system can contact the CA to obtain such a certi cate A certi cate can also be revoked by the CA The revocation can be based either on timeouts present in the certi cate or on explicit revocation lists Thus we see from this approach that it is necessary that every node in.

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