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and Tw is the pulse width In practice, the integration interval for the second stage can be chosen based on the predicted/estimated channel parameters The maximum selection criterion is also applied at the second stage The process may continue over a sequence of symbols to produce multiple TOA estimates which can be further processed to obtain more accurate estimates It is worth noting that NLOS propagation conditions introduce additional errors in TOA measurements as the received pulses are delayed as a result of propagating through material which is denser than air Although it is dif cult to accurately predict the additional delay, techniques exist to partially compensate the NLOS impact on the accuracy of TOA estimation Statistical information of the NLOS error, if available, can be employed to reduce the NLOS effect [33].





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It is necessary to have a good method of redirecting execution to a useful address containing shellcode Shellcode could be located in several possible locations, each having its advantages and disadvantages Reliability is often the most important factor in choosing where to put your shellcode, and the possibilities are most often dictated by the program you are exploiting For exploitation of local setuid programs, it is possible to fully control the program environment and arguments In this case, it is possible to inject shellcode plus a large amount of padding into the environment The shellcode will be found at a very predictable location on the stack, and extremely reliable exploitation can be achieved When possible, this is often the best choice When exploiting daemon programs, especially remotely, finding shellcode on the stack and executing it is still a good choice.

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Also, a variety of techniques in NLOS identi cation and LOS reconstruction have been proposed to mitigate the NLOS effect [34 37] In the absence of any information about NLOS error, and when LOS propagation results are not available, nonparametric techniques may be applied to produce TOA measurements [38] To examine the accuracy of the proposed two-stage TOA estimation approach, we consider an outdoor environment with dimensions 400 100 100 m The data rate is 5 Mbps and each bit consists of only one pulse [16] A fourpath channel model is employed to approximate a snow-covered environment Whilst being a considerable simpli cation, this channel model serves to demonstrate the merits of the techniques employed and simpli es the evaluation process.

Stack addresses of buffers are often reasonably predictable and only shift slightly due to changes in the environment or program arguments For exploits where you might have only a single chance, a stack address is a good choice due to good predictability and only minor variations When an appropriate buffer cannot be found on the stack, or when the stack is marked as non-executable, an obvious second choice is the heap If it is possible to inject a large amount of padding around shellcode, pointing execution toward a heap address can be just as reliable as a stack buffer However, in most cases finding shellcode on the heap may take multiple attempts to work reliably and is better suited for repeatable attacks attempted in a brute force manner.

The rst channel path signal has constant amplitude (corresponding to a LOS signal) while the other three paths have Nakagami fading amplitudes with a fading value of m 1:5 [39] The fading amplitudes can be either positive or negative with equal probability [40] The delay of the second path is 2 ns and the fourth path is 12 ns The power ratio (Rician factor) of the direct path to the fading paths is equal to one (ie, 0 dB) The receiver sampling rate in the xed nodes is assumed to be 2 GHz In Figure 1710, the ith integrator switches on at ti t0 where t0 is the true TOA In Figure 1711, the ith integrator switches on at ti t0 Tw =2 where Tw is the pulse width.

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