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[196] D Niculescu and B Nath, Ad Hoc Positioning System (APS) using AoA, INFOCOM 03, Vol 3, San Francisco, CA, 2003, pp 1734 1743 [197] N Priyantha, H Balakrishnan, E Demaine, and S Teller, Anchor-free Distributed Localization in Sensor Networks, in Proceedings of ACM SenSys, 2003, pp 340 341 [198] N B Priyantha, A Chakraborty, and H Balakrishnan, The Cricket Location Support System, in Proceedings of MOBICOM 00, New York, August 2000 [199] A Savvides, H Park, and M Srivastava, The Bits and Flops of the N-Hop Multilateration Primitive for Node Localization Problems, in First ACM International Workshop on Wireless Sensor Networks and Application, Atlanta, GA, September 2002 [200] C Savarese, J Rabay, and K Langendoen, Robust Positioning Algorithms for Distributed Ad-Hoc Wireless Sensor Networks, USENIX Technical Annual Conference, Monterey, CA, June 2002 [201] A Shamir, How to Share a Secret, Communications of the ACM, 22(11), 612 612 (1979) [202] W Stallings, Cryptography and Network Security: Principles and Practice, Prentice Hall, Engelwood Cliffs, NJ, 1999 [203] D Subhadrabandhu, F Anjum, S Sarkar, and R Shetty, On Optimal Placement of Intrusion Detection Modules in Wireless Sensor Networks, Invited Paper, in Proceedings of Broadnets, San Jose, CA, 25 29 October 2004 [204] R Szewczyk, E Osterweil, J Polastre, M Hamilton, A Mainwaring, and D Estrin, Habitat Monitoring with Sensor Networks, Communications of ACM, 47, 34 40 (2004) [205] A Uszok, J Bradshaw, R Jeffers, N Suri, P Hayes, M Breedy, L Bunch, M Johnson, S Kulkarni, and J Lott, KAoS Policy and Domain Services Towards a DescriptionLogic Approach to Policy Representation, Decon iction, and Enforcement, in Policy 2003, Workshop on Policies for Distributed Systems and Networks [206] D Verma, Simplifying Network Administration Using Policy-Based Management, IEEE Network, 16(2), 20 26 (2002) [207] R Yavatkar, D Pendarakis, and R Guerin, A Framework for Policy based Admission Control, IETF RFC 2753, January 2000 [208] Y Zhang, W Liu, W Lou, and Y Fang Location-based Compromise-tolerant Security Mechanisms for Wireless Sensor Networks, IEEE JSAC, special issue on Security in Ad-Hoc Networks, 24(2), 247 260 (2006) [209] J Jason, L Rafalow, and E Vyncke, IPsec Con guration Policy Information Model, IETF RFC 3585, August 2003 [210] J Hightower and G Borriella, A Survey and Taxonomy of Location Systems for Ubiquitous Computing, IEEE Computer, 34(8), 57 66 (2001).

50 40 30 20 10 0 0 02 04 06 08 1

1 08 06 04 02 0 05 04 03 02 01

time lag (e)

1 08 06 04 02 0 0 02 04 06 08 1

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Advanced Encryption Standard (AES), 23 ANODR, 106 109 Anomaly based detection, 156 158 Anonymous Routing protocols, 105 113 AODV, 72 73 Applications of wireless ad hoc networks, 5 6 Approximate point in triangle, 198 Ariadne, 84 90 Asymmetric key cryptography, 16, 23 Attacks, 10 12, 19 Authenticated Routing for Ad hoc Networks (ARAN), 77 79 Authentication, 16 Availability, 16 Biometrics, 16 Block ciphers, 21 Blom s scheme, 62 Certi cation authority (CA), 41 Clustering, 140 144, 175 176 Common Information Model (CIM), 177 Common Open Policy Service (COPS), 176 177 Computation, 187, 199 Condition Action Rules, 166 Con dentiality, 16 Cooperative vehicular infrastructure system, 226 Data Encryption Standard (DES), 22 Dedicated short range communication, 225, 226 Denial of Service, 11 Deontic Logic, 165, 169 Destination-Sequenced Distance Vector (DSDV) routing protocol, 91 Deterministic key distribution schemes, 50 Dif e Hellman, 26 Distance bounding, 204 Distance vector routing protocols, 69 70 Distributed Management Task Force (DMTF), 176 177 Dynamic Source Routing (DSR) protocol, 80 81 ECHO, 205 EndairA, 90 91 Event Condition Action Rule, 166 167 Firewall Management, 180 181 Fully distributed authority, 47 Global positioning system, 190 Global system for telematics, 226 Hash chains, 35 Hashed random preloaded subsets, 58 Hierarchical IDS, 138 140 Hierarchical policy management architecture, 171, 173 175 High-resolution range independent localization, 211 Hop-count based localization, 197 Host Intrusion Detection System (HIDS), 122 124 Insider nodes, 10 Integrity, 16 Intrusion Detection System (IDS), 120 159 IP Security Policy (IPSP), 177 Ismene Policy Description Language, 168 169 Key Distribution Centers, 41 KeyNote Trust Management System, 178 180

0 01 02 03 04

15 1 05 0 05 0 02 04 06 08 1

As we noted in Three, the inclusion of a concern for the client and their satisfaction with the project alters our thinking in

05 06 07 08 09 1 0 05 1 15 2

Figure 45 Left: simulation of Brownian motion in binomial time (a) sampling of Mb ((k + 1)2 n ) Mb (k2 n ) (k = 0, , 2n 1), indicating distortion of dyadic time intervals, (b) Mb ((k2 n )): the time warp, (c) Brownian motion warped with (b): B B(k2 n ) = B1/2 (Mb (k2 n )) Right: estimation of dim Ea using w,B , (d) empirical correlation of the Haar wavelet coef cients, (e) dot-dashed: T Mb (from theory), dashed: T B (a) = T Mb (a/H) Solid: the estimator w,B obtained from (c) (Reproduced from [GON 99])

Security for Wireless Ad Hoc Networks, by Farooq Anjum and Petros Mouchtaris Copyright # 2007 John Wiley & Sons, Inc

Second, towards the local analysis we recall the uniform and strict H lder continuity of the paths of FBM5 which reads roughly as

5 For a precise statement see Adler [ADL 81] or [RIE 88, Theorem 74]

This is the key to concluding that BH simply squeezes the H lder regularity exponents by a factor H Thus, hB (t) = H hM (t), etc and

M B Ka/H = Ka ,

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