Web application technologies like PHP, CGI, Javascript, and Ajax have made it much easier for people to construct and deploy services on the Internet. Unfortunately, this has opened a wide avenue for new attacks since it is as easy to unintentionally introduce new vulnerabilities into web applications as it is to intentionally introduce new functionality. Consequently, web applications have increasingly been the focus of attackers.
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Mobile communication is the basis for one of the fastest growing business areas at the beginning of the 21 st century. With IMT-2000 (International Mobile Telecommunications 2000), high-speed communication is possible anywhere, at any time, to any communication partner, with almost any device. As IMT-2000 comprises a set of different networking technologies, it provides a communication framework in which a subscriber may freely roam without having to be concerned about which network to use [1]. Hand-over procedures seamlessly integrate in-house networks, campus-based networks, metropolitan and wide area networks.
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In this paper we describe a Python- and Tkinter-based visual-programming environment called ViPEr. This tool enables non-programmers to build computational and visualization networks interactively. Computational nodes can be placed onto a canvas and their input and output ports can be connected using the mouse. The connections between the nodes define a directed graph that will be used to propagate data and trigger the execution of nodes that have new input data. ViPEr is, in appearance, similar to programs such as AVS [Upson et al. 89] from Advanced Visual Simulations Inc, or OpenDX [DX 93] from IBM, but presents some fundamental differences which will be pointed out throughout this paper. Several examples of applications will be used to illustrate ViPEr’s design and current range of capabilities.
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PacketLogic has predefined user interfaces that are powerful and easy to use, such as the client and the Webstatistics. However, when the need arises to do something that is not defined in those interfaces, they are not possible for the end user to modify or customize. This is when using an API is very effective. Using the PacketLogic Python API provides access to virtually all the functionality available in the existing user interfaces, but with full possibilities to customize, integrate, and otherwise adapt the interface according to local and site-specific requirements. The PacketLogic Python API is implemented as a Python module, which means writing scripts to interface with a PacketLogic unit is a matter of:
1. Installing Python Python is available for free for all major operating systems.
2. Installing the API The API is available for free as a download from Procera Networks, on Windows and Linux operating systems.
3. Writing scripts
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Threads play a major role in applications programming today. For example, most Web servers are threaded, as are many Java GUI programs. Here are the major settings in which using threads has been founded convenient and/or efficient:
• Programs with asynchronous events:
Here the program must be ready for various events, but does not know the order in which they might occur. For example, in Sections 3.1 and 3.2, we have a network server connected to several clients. The server does not know from which client the next message will arrive. So, we have the server create a separate thread for each client, with each thread handling only its client.
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Considering the rapid pace of changes in the software field and the limited courses that a student can take in languages, the question is which languages are crucial for students to learn in an undergraduate IS curriculum. This paper investigates the necessity of teaching C# and .NET in the undergraduate IS curriculum. It explores the pros and cons of .Net versus J2EE for applications development and differences between C#, C++ and Java, and which one may be the best language for teaching first programming course in IS curriculum.
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It began life under the name ARPANet in 1969. It was born in the U.S.A., created in the midst of the Cold War by the government as a strategic mechanism that would provide for the emission and reception of electronic communication signals in the event of a world catastrophe. Commissioned by the Department of Defense, four computers called nodes were connected using modems, telephone wires and satellites, one each at UCLA, UCSB, Stanford and University of Utah. ARPANet stands for Advanced Research Projects Agency Network. Its purpose was to share information and results of research among the various scientists involved in Department of Defense projects. Each node was specifically designed io be independent of the others in case of that aforementioned world catastrophe.
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The SNMP protocol was introduced in 1988. Overtime security had been added (1991-1992). Also several version improved versions have been published (SNMPv2[1] and SNMPv3[4]) The goal is to allow automation of network management by establishing a standard protocol supported by all network devices for configuration and monitoring.

Using SNMP enabled devices network administrators can automate the tedious and error prone task of changing the configuration of the network by using an administration interface which in turn will automatically re-configure each device on the network using SNMP. By having a unified protocol a single administration application can manage an entire network of heterogeneous devices.
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