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therefore advantageous for each node to act as a policy enforcement point (PEP) and have the ability to accept requests from the policy management system and enforce the various policies based on those requests In wireless ad hoc networks there are usually no traf c concentration points where most traf c from the outside can be inspected and ltered In these networks, as nodes move around, the boundaries of the network change and therefore every node or at least most nodes may become the boundary of the network with other external networks Since every node may become part of the network boundary in order to provide effective protection from the outside every node in a wireless ad hoc network should have some policy enforcement capabilities In wireless ad hoc networks there is also a signi cant threat from malicious or misbehaving insiders (as was discussed in 1) Furthermore, in many applications envisioned for such networks, nodes are allowed to join the network dynamically Such nodes can provide networking services, thereby becoming part of the critical infrastructure of the network As discussed in 1, few malicious or misbehaving nodes can affect the network signi cantly and disrupt communications in the network It is therefore important in such an environment for the network to be able to limit the access of insiders (ie all the nodes) to the network and services provided over the network This also leads to the requirement that policy enforcement points in wireless ad hoc networks must have the ability to protect each node from all other nodes (even other insider nodes) Therefore, a fully distributed solution where each node has policy enforcement capabilities is imperative for securing a wireless ad hoc networking environment One potential approach for providing distributed policy enforcement capability is utilizing a fully distributed implementation of a rewall Such an approach has been proposed in [125] The distributed rewall in [125] was originally proposed for protecting the hosts and the network from insiders in a large enterprise environment Since insiders may be anywhere in the enterprise, the traditional approach of placing a few rewalls at the network boundaries is not a viable solution for protecting the network from malicious insiders Protecting the network from insiders in an enterprise environment also requires a fully distributed solution This leads us to believe that a solution such as the one described in [125] can be adapted to the wireless ad hoc networking environment The key concept proposed in [125] is the use of a Network Interface Card (NIC) at each host, which is a hardened tamper-resistant device that incorporates rewall capabilities The NIC is a nonbypassable interface to the network that has its own processor and memory that is not accessible from the host operating system or the applications running on the host the NIC is protecting Therefore, the NIC cannot be easily compromised by malicious users The NIC is controlled only by a policy server that distributes new packet ltering rewall rules (ie access control policies) during start up and whenever new or updated policies need to be enforced In [125] the policy server is a centralized well-protected entity in the enterprise environment that can be used to de ne the security policies to be enforced by the distributed rewall implementation The policy server needs to be well protected, because a compromised policy server can be used to open up the defenses of all nodes by implementing policies that would allow any traf c to go through the NIC The concept of the distributed rewall is shown in detail in Figure 66 Although it seems straightforward to adapt this architecture to the wireless ad hoc networking environment, there are some challenges One of the challenges is that the interface from a host to the network in a typical enterprise environment is based on Ethernet In a wireless ad hoc network the network interface is not sually Ethernet-based but most.

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Self-Similar Network Traf c and Performance Evaluation, Edited by ihong Park and Walter Willinger Copyright # 2000 by John Wiley & Sons, Inc Print ISBN 0-471-31974-0 Electronic ISBN 0-471-20644-X Using Barcode printer for Visual Studio NET Control to enerate, create Code 128 Code Set B image in Visual Studio NET applications At the other end of the scale, networks dealing mainly with self-similar traf c aggregates, such as all packets transmitting from one localarea network (LAN) to another, can hardly make performance guarantees unless that traf c is previously shaped into some kind of rigidly de ned envelope The service model discussed in this chapter is based on an intermediate traf c entity, which we refer to as a `` ow'' de ned for present purposes as the succession of packets pertaining to a single instance of some application, such as a videoconference or a document transfer.

A fundamental premise of the project is that learners are agents who make decisions about ow they will learn that is, about study tactics and learning strategies Through the project we aim to increase opportunities for learners to explore study tactics, thereby generating information critical to us and them in theorizing about how learning unfolds and what forms of learning are more effective than others 2d Barcode In VBNET Using Barcode maker for 1 is a labeled screen shot of gStudy showing the major components of its user interface ecause the figure shows gStudy with all panels open, it gives the impression of a crowded and complex user interface However, learners normally have only two or three panels open at one time, and they can open or close any panel by a single mouse click.

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By allocating resources at ow level, or more exactly, by rejecting newly arriving ows when available capacity is exhausted, quality of service provision is decomposed into two parts: service mechanisms and control protocols ensure that the quality of service of accepted ows is satisfactory; traf c engineering is applied to dimension network elements so that the probability of rejection remains tolerably small The present chapter aims to demonstrate that this approach is feasible, sacri cing detail and depth somewhat in favor of a broad view of the range of issues that need to be addressed conjointly Other chapters in this book are particularly relevant to the present discussion In 19, Adas and Mukherjee propose a framing scheme to ensure guaranteed quality for services like video transmission while Tuan and Park in 18 study congestion control algorithms for ``elastic'' data communications.

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An enlarged view of the leftmost panel of the interface is presented in Figure 72 It shows a list of the learning kits that the learner has downloaded, icons representing different types of information objects, a table of contents for the current kit, and an item finder for filtering elements in the table of contents This section of the interface assists the learner to navigate through kits and information objects The table of contents may show several levels of subheadings which the learner can show (expand) or hide (collapse) by a mouse click The learner can view a list showing information objects of a particular type by clicking on the icon for that type in the view bar.

Naturally, the schemes in both chapters take account of the self-similar nature of the considered traf c ows They constitute alternatives to our own proposals 15 by Feldmann gives a very precise description of Internet traf c characteristics at ow level, which to some extent invalidates our too optimistic Poisson arrivals assumption The latter assumption remains useful, however, notably in showing how heavytailed distributions do not lead to severe performance problems if closed-loop control is used to dynamically share resources as in a processor sharing queue The same Poisson approximation is exploited by Boxma and Cohen in 6, which contrasts the performance of FIFO (open-loop control) and processor sharing (PS) (closed-loop control) queues with heavy-tailed job sizes In the next section we discuss the nature of traf c in a multiservice network, identifying broad categories of ows with distinct quality of service requirements.

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For example, if the learner clicks on the note icon, a list of all notes in the learning kit will appear in the space occupied in the figure by the table of contents Browser The central panel in Figure 71 is a web browser that displays HTML documents located in the learning kit or on the Web Unlike other browsers, gStudy allows the learner to attach notes and other information objects to sections of text, images, or video Learners can highlight text with colors of their choice, as they might in textbooks and other printed material The link margins, vertical bands on either side of the browser panel, mark the location of links Linked items The panel in the lower right area in Figure 71 is used to find and display information objects linked to the current browser document.

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