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26 May 2019 ... Free to try HiHiSoft Windows XP/2003/Vista/Server 2008/7/8/10 Version ... You can also convert multiple JPEGs to single-page PDFs for photo ... node is said to be covered if it is the neighbor of any node that executes IDS and is hence IDS active Further a node covers itself Thus, in this example, node v3 is not covered The authors formulate this problem mathematically by aiming to maximize detection while satisfying the resource constraints as well as constraints on the nodes that can execute IDS The optimal solution to the mathematical formulation is shown to be an NP-hard problem Hence the authors propose two polynomial complexity algorithms [80] called APPROX and maximum unsatis ed neighbors in extended neighborhood for maximizing the coverage (MUNEN-MC) APPROX iteratively selects the nodes that have to execute IDS During each iteration, APPROX selects a node in the entire network which has the maximum number of neighbors that are not covered by any IDS active node After the selection, every node in the selected node s two-hop neighborhood recomputes its priority The selection process terminates when a given number of insider nodes are selected or the IDS capable insider nodes have zero priority, that is, no nodes are left uncovered MUNEN-MC on the other hand also selects the same set of nodes as APPROX, but has signi cantly lower communication complexity than APPROX It achieves this by considering a two-hop neighborhood and selecting nodes which have the maximum number of uncovered neighbors in this neighborhood A problem with these approximation algorithms is that the set of IDS active nodes needs to be recomputed every time there is a neighborhood change The computations and related message exchanges also consume signi cant resources Thus, these algorithms cannot be used when the network is highly dynamic To address this, the authors propose two heuristics The rst heuristic proposes that every node execute the IDS with a probability selected to regulate the resources consumed and detection rate The second heuristic is called the geometric dominating set algorithm, GO-DOM GO-DOM uses geometric information to select the set of nodes that have to execute IDS The geographic area of the network is covered by the minimum possible number of circles each with radius r, where r is the transmission range of a node The center of the outermost circle has a distance r from the closest network boundary Each node is assumed to know or is assumed to be able to compute the coordinate of the centers of the circles Note that this is a one-time computation or message exchange for each IDS capable insider node Each node is also assumed to know its coordinates using GPS or other techniques Each IDS capable node broadcasts its distance from the center of each circle it resides in to its neighbors It sends this broadcast packet when it joins the system, and thereafter each time it moves Each node then selects an IDS capable neighbor which is the nearest to the center of a circle it currently resides in to execute the IDS Figure 53 provides an illustrative example of the GO-DOM algorithm The circles in solid lines are some of the circles that cover the geographic area of the network For the current positions of the nodes, two nodes in circle 3, namely nodes v2 and v5, execute the IDS because both of them are nearest to the center of the circle they reside in (ie circle 3) in their neighborhood Nodes v1, v3, and v4 do not execute IDS because they are within v2 s neighborhood and v2 is closest to the center of the circle v5 is not within v2 s neighborhood (shown with a dotted line) and therefore is executing IDS The authors in [80, 83] also compare the performance of the optimal algorithm with the approximations and the heuristics They also investigate the fraction of nodes needed to execute the IDS and show that, even for high detection rates, only a modest fraction of the nodes needs to execute IDS These results are quite useful in the design of effective intrusion detection systems We would like to remark here that our description above is simpli ed Speci cally, the authors in [80, 83] consider special types of ad hoc networks where there are two types of. jpg to pdf converter software free download for windows 8 64 bit: How to convert JPG to PDF (Convert JPEG to PDF) jpg to pdf converter software free download for windows 10 Convert Multiple JPG Files To PDF Files Software - Free Trial ...
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