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following an OUT or SAMPLE m statement (Sections 1-8 and 2-3) This ensures periodic sampling at the sampling rate

orderDetailsVector addElement (orderDetail) ;

SR = (NN 1)/TMAX or SR = (NN 1)/(m * TMAX)

Once the inventory has been updated the vector that contains the order details is placed in the hash table and the method sendOrderFax ( ) is called:

//c07 if (orderDetailsVector != null) { messageContent put ( "orderDetail" , orderDetailsVector) ; } sendOrderFax (messageContent) ; The sendOrderFax ( ) method is the actual producer of the message:

In addition to the fundamental properties discussed earlier, there are several other properties that are made use of in the various security mechanisms discussed throughout the book In this section, we explain these properties We start off by looking at hash chains More speci cally, we consider the pre-image resistance property of hashing

(5-4)

* The name of the JMS queue connection factory */ public final static String JMS_FACTORY = " javax jms QueueConnectionFactory" ; /** * The name of the "order" queue */ public final static String QUEUE = " jsworderQueue" ; /** * This method sends a JMS message with the details of an order * */

protected void sendOrderFax (Hashtable messageContent) throws P2GException { QueueConnectionFactory qConnFactory; QueueConnection qConn; QueueSession qSession; QueueSender qSender; Queue queue ; ObjectMessage message;

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protocol (Section 1-6)2 Numerical integration updates differential-equation system variables in small steps to model continuous or analog functions of the time t (Sections 1-6 and 1-7) Noisy sampled-data variables fed to a differential-equation system are sample/hold state variables (Section 2-3)3 and thus discontinuous step functions of the time t Such variables are read at every derivative call, but they change only at sampling times, so that numerical integration will be correct As we noted in Section 2-3, sample-hold state variables require initialization at t = t0 To model continuous noise Noise = Noise(t), we feed a noisy sampleddata state variable y to a differential equation system representing a low-pass or band-pass filter, as in

The first two lines define the names of the administered objects: the Connection Factory for the queue and the JMS queue The first line specifies the name of the default Queue Connection Factory provided by WebLogic The second line specifies the name of the "order" JMS queue created by WebLogic at startup It is declared in the weblogic properties file as follows:

7 ________________________________________________________

algorithms and describe this again brie y We do this because this property is used in several security mechanisms 241 One-Way Property of Hash Chains

d/dt Noise = w * Noise + y | -- one-stage low-pass noise filter OUT y = a * (ran()+ran()+ran()+ran()) + b | -- y is roughly Gaussian

The first step is to get the JNDI context and a queue factory:

try { Context context = new InitialContext(); qConnFactory = (QueueConnectionFactory) context lookup (JMS_FACTORY) ,-

The noise frequency spectrum is determined by the noise-sampling rate (5-4) and the filter transfer function [2] Many kinds of random processes can be derived from such simulated analog noise, for example,

Next, the connection is created:

.

qConn = qConnFactorycreateQueueConnection(); As well as a session: qSession = qConncreateQueueSession(false,

q = A * sin(w * t) + c * p (sinusoid with additive noise) q = A * p * sin(w * t) (random-amplitude sinusoid) q = A * sin(w * t + p) (random-phase sinusoid)

SessionAUTO_ACKNOWLEDGE) ;

Here the session is created with the AUTO_ACKNOWLEDGE mode set to false If it is set to true, the session will automatically acknowledge the receipt of the message when the database has committed the message In this case, the Wonder Troops are not necessarily interested in this, as the priority is to know if the outlet was the one that received it, not the database Since the message is defined as persistent, they would much rather get a reply from the outlet than from the database For code robustness, they verify that the queue already exists If it does not exist, they create it

y = ran() z = ran() + b * y with E{y * z} = b/3

try { queue = (Queue) context lookup (QUEUE) ; } catch (NamingException ne) { queue = qSessioncreateQueue(QUEUE); contextbind(QUEUE, queue); }

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