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ef cient data aggregation in sensor networks is also proposed to be addressed by making use of location information [136] The basic idea behind data aggregation is to combine data generated by different sensor nodes If the location of the sensor node that generated the data is known, then data generated by sensor nodes positioned in the same locality can be naturally aggregated This works very well when the objective of the sensor network is to obtain information such as temperature and humidity of an area Other applications such as target tracking, environment monitoring, and several security mechanisms [137] also depend on location information In the case of examples such as target tracking and environment monitoring, the data might have to be accompanied by information about the location where the data was generated On the other hand security mechanisms to protect against wormhole attacks (see 4) require location information for their basic functioning Mechanisms to protect against attacks such as Sybil can also be buttressed using the location information to cross-check the other information In addition, there have recently also been proposals for location-based keying [67] The idea behind location-based keys is to tie the private key of a node to both its identity and geographic location This is opposed to tying the key just to the identity as done in conventional schemes The use of location information for authentication in addition to the use of identity has also been proposed [138] Thus, users who need access to the network need not only have the proper identity but also be in the proper location It is important to point out here that these location-based applications, services, and security mechanisms are sensitive to the accuracy of the location information For example, the authors in [139, 140] have investigated the effect of localization errors (due to accidental and not malicious reasons) on the performance of both GHT and a geographic MANET routing protocol GPSR They found that realistic localization errors can lead to incorrect behavior and signi cant performance degradation While it may be possible to modify the applications so that their performance is robust when dealing with statistically inaccurate information, it is a different matter when considering location information that is inaccurate due to the presence of an adversary This is due to the fact that it is not possible to factor the inaccuracy resulting from maliciousness In such a case, the gains afforded by the use of location information under normal conditions can very easily be erased It is also trivial to conclude that other applications such as data aggregation and target tracking will also suffer in the presence of maliciously modi ed location information Therefore it is necessary to investigate location determination techniques that have been designed with a focus on security This is more so considering that the type of networks that we are focusing on, namely ad hoc and sensor networks, naturally attract adversaries given their typical deployment scenarios The secure location determination techniques should prevent both malicious insider nodes from misrepresenting their location and outside entities from interfering with the location determination process being followed by the system components Thus the security mechanisms for the location determination schemes must be designed to be robust against two types of attackers These are the internal and the external attackers Internal attackers are those insider nodes that can authenticate themselves to the system and are hence part of the system Such nodes can report false location information or interfere with the localization process with the objective of cheating the location determination system External attackers are the outside entities that are not part of the system and hence do not know any system secrets The aim of such attackers is to convince an honest node or the location determination infrastructure or both that the node is present.

where 2h is a small class-interval width For a given Monte Carlo sample (x[1], x[2], , x[n]) of x-values, we again estimate p by the sample average <u(x X)> of an indicator function u(x X) equal to 1 if X h < x < X + h and 0 otherwise Specifically, u(x X) rect((x X)/h), where rect(x) is the library function defined in Fig 2-5c For small window widths 2h we thus estimate the probability density x(X) p/2h by

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We will assume that you have taken care of the physical security of the computers that are running the WebLogic server, as well as setting up the operating system, file systems, and network to the desired levels of security The WebLogic server is controlled by the properties file As it ships, there are many properties that can leave some gaps regarding security We will list some of the properties that should be reviewed in order to secure the server before being placed in production weblogic password, system: Be sure to set this password to something that would not be easy to guess For example, selecting 'password1 or something equally unoriginal would not be a good choice, as the user system is entitled to perform any operation on the WebLogic server weblogic security disableGuest: Make sure that this property is set to true When set to false WebLogic enables a guest user with password guest

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f(X) (1/2h) <rect [(x X)/h]> (1/2hn)

The basic architectural principle is that all the information related to the system is retrieved from the database, for example, the users, the pizzas, toppings, and pricing The information needed for an order is stored as global variables bound to a specific session available to all the modules during execution Interestingly enough, the folks of E-Pizza have designed the application so that the orders are handled internally with three basic shopping carts: Q pizzas Q dpizzas_scart, which is used for pre-defined cpizzas_scart for custom made pizzas Q

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bev_scart for the beverages It should be noted that the term 'shopping cart1 is used very liberally in this sense as they are not conventional internet shopping carts with characteristic functions such as 'add to basket' or 'proceed to checkout' They are actually two dimensional arrays, where every row is a vector that contains the necessary information associated to the corresponding shopping cart Additionally, the toppings for the custom made pizzas are also handled as a two dimensional array called cpizzas_toppings_scart The files used in the system include global asa, which is the first page to be executed when the session with the server begins In it, the session variables are defined, including the connection string to the database, the shopping carts are initialized, and the user identification is procured from the cookie, if there is one

rect ((x[k] X)/h) (4-13)

A cookie is a mechanism allowing the web server to remember the user and is used in session identification Cookies will be explained further in 8

<SCRIPT LANGUAGE=VBScript RUNAT=Server> Sub Session_OnStart Session("ConnString") = "DATABASE=epizza;DSN=epizza;" & _ "UID=epizza;Password=epizza;" Set epizza_conn = ServerCreateObject("ADODBConnection") connstring = Session("connstring") epizza_conn0pen connstring Defining some User Variables Session)"SessionActive") = "True" 1 To validate if the Session is still active Session)"UserLogln") = False 1 If the user has logged in Session!"UserName") = "" Session("UserLevel") = 1 ' Getting the UserlD from the cookie UserCookie = RequestCookies("Userlnfo")("UserlD") Session("Update_address") = False ' Flag to use the registration screen to update address information Session("Order_specified") = False

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