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ensure that two nodes share a key with a higher probability, thereby leading to greater chances of ensuring connectivity On the other hand, this could also increase the susceptibility of the network since, by compromising fewer nodes, the adversary would be able to eavesdrop successfully on a larger number of communications amongst the noncompromised nodes in the network For example, consider one extreme when the size of the key pool is 1 In this case, this scheme reduces to the simple deterministic case of a single key being used in the entire network While this scheme ensures high connectivity, it suffers from no resilience against node compromise since capture of a single node compromises the communication in the entire network Having a very large key pool causes the opposite behavior in terms of connectivity and resilience In such a case connectivity will be very low but resilience will be very high Several proposals have been developed based on this idea of random key predistribution The various proposals in this family of probabilistic key sharing approach differ in terms of the structure of the key pool, the number of common keys required, their applicability to a dynamic deployment scenario and the method of determining the common keys These schemes offer network resilience against capture of nodes since a node has very few keys deployed on it Thus, there is no need to consider tamper resistant nodes (though note that nontamper-resistant nodes might not be acceptable in some situations such as military deployments) This is an advantage given the problems such as cost and complexity associated with tamper-resistant nodes In addition this approach is more scalable for large-scale, dense deployments of sensor networks The drawbacks of these schemes are that the key setup is based on probabilistic arguments Additionally, setting up of a secure channel between nodes which do not share common keys might require communication over multiple hops This increases the workload and the latency associated with setting up secure links We next look at several solutions based on this idea of probabilistic key sharing In [39] the authors focus on very large, dense sensor networks The authors propose three random key predistribution schemes for such networks They are:.

normal statement of execution of the index, jsp running on the server named Grace on port 7001 Notice that the line finishes with a comma to signify that another URL continues, and a backslash to tell the Grinder that there are more lines after this one

The next step is where the operator selects the customer search button When this button is selected the

(6-27)

Customer Search j sp is executed To mimic this operation the following statement is defined:

[urll]http://grace:7001/CustomerSearchjsp,\

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This is a system of difference equations similar to those in Section 3-1; the connection weights are difference-equation state variables The right-hand side of each difference equation (6-27) is a function of the current values of the connection weights and defined variables (6-25) We first compute these defined variables The derivatives in Eq (6-27) are then evaluated by the chain rule This rather lengthy derivation [7,8] is simplified if we specify intermediate results in terms of three new defined-variable vectors error, delta1, and delta2 declared with

the q-composite random key predistribution scheme two nodes need to share more than one common key in order to set up a secure link; the multipath key reinforcement scheme An attacker has to compromise many more nodes to achieve a high probability of compromising any communication the random-pairwise key scheme enables node-to-node mutual authentication whereby any node can determine the identity of the other node it is communicating with

Next, the operator needs to provide a phone number to search for that specific customer Since the actual search will be done by the Customer Sea rchS servlet, this is what has to be called by the Grinder This servlet also requires some arguments so the resulting Grinder statement is:

[ur12) http: / /grace:7001 / Customer SearchS c_country_code=1& \

ARRAY error[ny], delta1[nv1], delta2[ny]

c_area_code=305&\ c_phone=9758841,\

This searches for a customer widi a telephone number with country code 1, area code 305 and phone number 975-8841 The problem with this statement is that every order will be from the same customer, and therefore would not be a particularly realistic stress lest for real-life situations The ideal way to resolve this issue is to have the ability to generate a different telephone number for every order A simple algorithm for this is:

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