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We learned in the previous section that when two processes communicate over TCP, from the perspective of the processes it is as if there is a pipe between the two processes This pipe remains in place until one of the two processes closes it When one of the processes wants to send some bytes to the other process, it simply inserts the bytes into the pipe The sending process does not have to attach a destination address to the bytes because the pipe is logically connected to the destination Furthermore, the pipe provides a reliably byte stream channel -- the sequence of bytes received by the receiving process is exactly the sequence bytes that the sender inserted into the pipe UDP also allows two (or more) processes running on different hosts to communicate However, UDP differs from TCP in many fundamental ways First, UDP is a connectionless service -- there isn't an initial handshaking phase during which a pipe is established between the two processes Because UDP doesn't have a pipe, when a process wants to send a batch of bytes to another process, the sending process must exclude attach the destination process's address to the batch of bytes And this must be done for each batch of bytes the sending process sends Thus UDP is similar to a taxi service -- each time group of people get in a taxi, the group has to inform the driver of the destination address As with TCP, the destination address is a tuple consisting of the IP address of the destination host and the port number of the destination process We shall refer to the batch of information bytes along with the IP destination address and port number as the the "packet" After having created a packet, the sending process pushes the packet into the network through a socket Continuing with our taxi analogy, at the other side of the socket, there is a taxi waiting for the packet The taxi then drives the packet in the direction of the packet's destination address However, the taxi does not guarantee that it will eventually get the datagram to its ultimate destination; the taxi could break down In other terms, UDP provides an unreliable transport service to its communication processes -- it makes no guarantees that a datagram will reach its ultimate destination In this section we will illustrate UDP client-server programming by redeveloping the same application of the previous section, but this time over UDP We shall also see that the Java code for UDP is different from the TCP code in many important ways In particular, we shall see that there is (i) no initial handshaking between the two processes, and therefore no need for a welcoming socket, (ii) no streams are attached to the sockets, (iii) the sending hosts creates "packets" by attaching the IP destination address and port number to each batch of bytes it sends, and (iv) the receiving process must unravel to received packet to obtain the packet's information bytes Recall once again our simple application: 1 A client reads a line from its standard input (keyboard) and sends the line out its socket to the server 2 The server reads a line from its socket 3 The server converts the line to uppercase.

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Implementation of SOX best practices in the area of IT and electronic Document Management compliance can serve to strengthen internal controls, raise awareness of cyber-risks throughout the organization, produce a higher level of efficiency and productivity, and maintain public trust by keeping electronic access to websites, databases, and confidential information safe SOX best practices have some additional benefits as well for IT Public expectations such as putting the Form 990s on the website can be achieved without compromising sensitive data on the page with the major donors The way in which SOX best practices are implemented can serve as the beginning of a sea change within the rganization As we have seen in the passage of California SOX-clone legislation, it is only a matter of time before many of these best practices become law, or are codified in the regulatory requirements of federal agencies such as the IRS As always, the issue of technology can be something of a hot button for employees and volunteers who are either not technology conversant, or are reluctant to model new behavior The board and Executive Team set the tone in IT as well as in the adaptation of all of the SOX best practices As one private sector executive pronounced, Noncompliance is not an option The same message must be communicated to everyone in the nonprofit Role of IT in Overall SOX Compliance and in Adaptation of SOX Best Practices Technology and its application have become the backbone of nonprofit operations Virtually all nonprofit organizations use technology to some degree, whether in the use of computers, databases, Internet access, websites, PDAs, laptops, notebooks, cell phones, pagers, or voice mail The proliferation of technology is a double-edged sword While technology can facilitate higher and more efficient levels of productivity, it is also an integral part of SOX compliance and adaptation of best practices The bar has been raised permanently in terms of degree of compliance and using technology to strengthen the nonprofit s internal controls There s no going back! Applying the Lessons Learned From the Private Sector The private sector is an important source of learning about the adaptation of best practices Although private companies, like nonprofits, are not required to comply with all of the Sarbanes-Oxley legislation, they have learned that adaptation of best practices that closely approximate full compliance are considered essential for their financial viability and competitive positioning.

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As more business transactions move online, it has become imperative to provide the QoS assurance on the Internet which does not currently exist This chapter describes two new resource reservation protocols, I-RSVP and SI-RSVP, to guarantee the end-to-end delay of instantaneous jobs The end-to-end delay guarantee through I-RSVP and SI-RSVP is veri ed in the testing of I-RSVP and SI-RSVP in comparison with the best effort model through the small-scale network simulation and the large-scale network simulation I-RSVP and SI- RSVP demonstrate their additional advantage to the best effort model n preventing traf c congestion Drawing Bar Code In NET Using Barcode drawer for .

Part III focuses on analyzing and understanding data collected from a computer and network system under attack or normal use conditions, especially discussing distinctive data characteristics which enable detection and identi cation of attack events An event can be an activity, a state change, or a erformance change which is a part of the cause effect chain triggered by a given attack (see 1 for the description of a cause effect chain of activity, state and performance in a resource process user interaction) A data characteristic of a given attack is a signi cant change in a feature of data observations for one or multiple data variables which appears at the time of one or more events in the cause effect chain of the attack Hence, three concepts are involved in de ning a data characteristic of a given attack: data, feature, and characteristic Data collected from a computer and network system consists of data variables and their data observations which capture activities, state changes and performance changes on the system 2 gives examples of data variables, Network Interface\Packets/sec, Memory\Available Bytes, and Process ( Total)\Page Faults/sec, which can be collected using the Windows Performance Objects 2 also describes various facilities and tools on a Windows operating system to collect activity, state and performance data from a computer and network system Among those facilities and tools, the Windows performance objects provide facilities to collect a comprehensive set of activity, state and performance data from a host computer, which enable the cause effect chain of activities, state changes and performance changes triggered by an attack to be traced Other facilities and tools on Windows collect primarily activity data without state and performance data Hence, research reported in Part III investigates activity, state and performance data which is collected from computers using the Windows performance objects Speci c objects and data variables within each object are described in detail in 7 In Part III, Windows performance objects data is collected under eleven attack conditions and two normal use conditions to provide attack and normal use data for investigation 7 describes these attack and norm conditions in detail Not all data variables, which can be collected from the Windows performance objects, capture speci c activities, state changes and performance changes which are associated with a given attack Only data variables, which are relevant to speci c activities, state changes and performance changes in the cause effect chain.

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