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rst subgroup (upper left corner) are selected from the global key space without any restrictions save for the size of the key-space subgroup The key spaces for the other groups in the rst row are then selected from the global key space such that a fraction a of key spaces is shared with the neighbors on the left Thus, for these sub-groups a fraction 1 2 a of key spaces is chosen independently from the global key space, as shown in Figure 314 Key spaces corresponding to groups in the other rows are selected from their neighbors with a fraction of the remaining being selected from the global key space as shown in the gure In each row the process is conducted from left to right Given such a deployment of nodes and assignment of key spaces, the authors show that the performance in terms of the connectivity of the network and the resilience to node capture improves signi cantly The memory resources needed for this scheme are also shown to be lower Liu and Ning [41] also use a similar approach for key management The difference as earlier is that, instead of dealing with key spaces, the authors use polynomial shares as also random pairwise keys Thus, sensor nodes that are expected to be neighbors are loaded with overlapping polynomials (or possess pairwise keys), while sensor nodes that are expected to be deployed far apart have no common polynomials (or pairwise keys) The authors in [45] have also provided an approach to making use of postdeployment knowledge for key management The idea here is to associated keys (or polynomials) with locations Excessive numbers of keys (or polynomials) are randomly loaded on a sensor node After deployment, a sensor node determines its own location and then prioritizes every key (or polynomial) preloaded on it The priority of a key is based on the distance between the sensor node s location and the location associated with the key Keys with lower priority are then discarded while keys with higher priority are expected to be used to set up secure links as in case of other schemes This therefore frees up the sensor memory for other tasks Liu et al [46] propose an approach which does not require knowledge of the expected locations of sensors after deployment This approach, however, requires knowledge of the groups of sensors that are going to be deployed together The expectation is that sensors that are deployed as a group will be located in the same region Hence, such sensor nodes will be deployed with common keys before deployment 3324 Mobility Typically, it is expected that mobility causes more problems in ad hoc networks, especially when it comes to key management However, in [27], the authors leverage mobility to provide peer-to-peer security in mobile networks Mobility could result in two nodes becoming neighbors of each other In such a case the authors propose that the one-hop links be made use of either to set up keys that can be used later when the nodes are no longer neighbors or to cross-check on keying information provided by an off-line certi cation authority In both cases the nodes that have become neighbors can make use of other secure side channels such as visual contact in order to authenticate each other This secure side channel is typically of a short distance It also might require line of sight to allow visual contact Note that con dentiality on this side channel might not be needed if there is no possibility of eavesdropping on it This could be because there is no adversary in the region The presence of no adversary can be veri ed by visual con rmation This approach can be used for both symmetric keys as well as asymmetric keys In this sense mobility can be looked at as a positive factor for key management.



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Key management in ad hoc networks is a hot topic in current research In this chapter, we have considered several different key management schemes designed for ad hoc and sensor networks We have pointed out the advantages and disadvantages of each of these schemes Ways in which some of these schemes can be improved have also been pointed out





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