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Nodes in a network need to be able to communicate securely with each other The existence of secure communication channels is especially crucial in ad hoc networks on account of the use of wireless links and other characteristics of such networks These channels are required for many operations such as exchanging data or exchanging control packets in the case of functions like routing To make such secure communication possible, it is necessary for nodes to have access to the proper keying material This is the objective of the key management process This has lately been a very active area of research in ad hoc networks The importance of key management cannot be overemphasized for both traditional and ad hoc networks When employing cryptographic schemes, such as encryption or digital signatures, to protect both control and data traf c, a key management service is always required For secure communication between any two entities, both the entities should possess a secret value or key The possible ways in which secure communication can be established are for the entities concerned to share a key (symmetric-key system) or for the entities concerned to possess different keys (asymmetric-key system) Key management is the process by which those keys are distributed to nodes on the network and how they are further updated if required, erased, and so on There are several steps that key management has to be concerned with for both symmetric key systems as well as asymmetric key systems These include [7]: 1 2 3 4 5 Initializing the system users Creating, distributing and installing the keying material Organizing the use of the keying material Updating, revoking, and destroying the keying material Archiving the keying material

< % String message = " " ; Customer customer = (Customer)sessiongetAttribute("currentCustomer"); if (customer ! = null){ try{ Context ctx = UtilgetlnitialContext(); OrderSFHome orderHome = (OrderSFHome) ctxlookup("jswc09OrderSF"); OrderSF currentOrder = orderHomecreate(customer); OrderDetail orderDetail = new OrderDetail(); Pizza pizza = new Pizza (); pizzasetp_name(requestgetParameter("pizza")); pizzasetP_size(requestgetParameter("size")); orderDetailsetOd_pizza(pizza); orderDetailsetOd_quantity( Integerparselnt(requestgetParameter("quantity"))); orderDetailsetOd_dough(requestgetParameter("dough")); currentOrderaddOrderDetail(orderDetail); currentOrderdeliverOrder(); message = "Your order t " + currentOrdergetOrderMaster()getOr_number() + " has been received!"; currentOrderremove(); } catch(Exception e){ Systemerrprintln(e); message = "Your order could not be processed!"; } } else{ message = "Your order could not be processed! "; } %> <p align="center"> <%= message %><br/> <a href="/windexwml">[home]</a> </p> </card> </wml>

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WebLogic includes a high performance HTTP web server However, if you already have an investment in an existing web server, plug-ins are available: Q Q An NSAPI plug-in for the Netscape web server An ISAPI plug-in for Microsoft IIS Q A

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plug-in for Apache Another very interesting feature is the Performance Packs Java virtual machines are clumsy when it conies to handling sockets The JVM listens to a socket for specific period of time When the time-out happens it moves on to the next socket If you have many sockets and only some of them have information you will still have to go through the time-out mechanism in turn until you reach the socket with the desired information The performance packs for Weblogic Server handle sockets in a native fashion (they're not available on all the supported platforms, so please consult the BEA web site) What they do is handle the sockets as interrupts so that when a socket has information it is delivered immediately to the requestor Depending on how many sockets your application uses, you can see substantial performance gains Probably the most powerful performance feature of the WebLogic Server is clustering With this feature, two or more WebLogic Servers run in such a way that to the user (and the programmer as well) they look like a single server Clustering is currently limited to LANs, therefore the theoretical limit is 256 instances of WebLogic The basic functionality offered by clustering is: Q Q Load balancing - sharing the server load between several machines The idea here is that increased load can be met by adding another server Automatic failover - if a server fails, the other servers in the cluster step into the breach

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Replication of servlets and EJBs comes as standard with clustering Clustering is dynamic, in the sense that cluster servers can enter and leave a cluster at any moment without having to do any special operation Because of this, failover is implicit There are various load balancing policies available and they will be detailed in 12

The purpose of the rst step is to bootstrap the system This could include various noncryptographic operations such as verifying the information of the users, providing identities to the users of the system, ensuring that they have the proper software needed to participate in the key management process, and so on This is then followed by creation and distribution of the keying material The creation and distribution of the keying material can be done in a centralized fashion or can be done in a decentralized fashion The keying material which has been distributed is then installed on the various nodes This is followed

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