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Additionally it would be possible for an attacker (either external or internal) to modify the measured distance by jamming the mutual communication of the nodes and then replaying these signals with higher or lower signal strengths The adversary can attempt to change the underlying propagation physics, say by introducing an absorbing barrier between the transmitter and the receiver This would result in signal attenuation, leading to signi cantly lower received signal strength (RSS) As a result the receiver might conclude that it is further from the transmitter than it actually is Ambient noise introduced by the adversary as well as changes in the environment would also affect the signal strength measurements Given the several easy ways in which an adversary can attack a SS based locationing system, the above approaches have not been used so far in the design of secure locationing systems for ad hoc networks Another novel localization approach that leverages signal strength measurement has been recently proposed [148] This is called the radio interferometric positioning system (RIPS) RIPS proposes to use two transmitters which are transmitting at frequencies that are nearly equal The interference caused by these two signals results in a composite signal that has a low frequency and whose envelope signal can be measured using the RSSI indicator on low precision RF chips RIPS proposes to then use two receivers to calculate the relative phase offset of the composite signal at the two receivers This relative phase offset between the two receivers depends only on the four distances between the two transmitters and two receivers By using relative phase offsets calculated at different frequencies, RIPS provides a method to calculate the relative positions of the transmitters and the receivers The security aspects of RIPS need to be investigated, however 72114 Other Techniques Other techniques can also be designed such as the angle-of-arrival (AoA) techniques or the time-difference-of-arrival (TDoA) techniques AoA systems estimate the location based on measurements of the angle of arrival This requires hardware that is capable of measuring the angle at which a signal arrives APS [149] is a system where the AoA technique is used to measure relative angle between two nodes, which is then used to calculate the distance between them using triangulation The TDoA technique consists of determining the times taken by the same signal to reach different points This is typically made use of in cellular networks where the signal from the mobile device is received at three different stationary base stations, each of which notes the time at which they observe the signal The time difference in arrival of the signal at the three synchronized base stations is then used to estimate the location of the mobile device In TDoA systems an internal attacker can send the signals at different times to the three base stations while fooling these base stations into assuming that they are the same signal thereby resulting in false location estimation 7212 Range-Independent Localization Techniques The other category of ranging schemes is the range-independent technique, which is a less accurate but more costeffective alternative to the range-dependent approach The characteristic of range-independent localization schemes is that, when using these schemes the system nodes can determine their location without measuring any property related to physical distance such as time, angle, or power Since the nodes do not have to perform any measurements there is typically no need for any special hardware16 We next look at some schemes that belong to this family.

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The theorem shows that if it is possible to transform an object A so as to verify the relation A W (A) while ensuring that W is contracting, then the xed point At of the operator W is close to A In this case, the operator W , de ned in section 1022, fully characterizes the approximation1 At of object A and exactly codes this latter if A = W (A) [BARN 86] EXAMPLE 102 Let us consider the application of four contracting transformations to a square noted A If the resulting four subsquares cover the initial square A exactly, the pasting theorem is satis ed The attractor of the IFS is therefore a square identical to the square A Figure 102 illustrates the attractor coded by the IFS {R2 ; i , i = 1, , 4} composed of the following af ne transformations: 1 1 x y = 2 0 1 2 x y = 2 0 1 3 x y = 2 0 1 4 x y = 2 0 x0 x 2 y + y 1 0 2 2 x 0 0 x 2 y + y0 1 2 2 x 0 0 x 2 y + y 1 0 2 2 x 0 0 x 2 + y y 1 0 2 2 0

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