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Section 5431 potential approaches for forming the hierarchy in a way that is well suited to the MANET environment Another potential feature of the hierarchical approach is that, if the hierarchy is formed in a way that nodes are just one hop away from their parent IDS, data and alerts can be shared through messages that are broadcast to its direct neighbors This allows the IDS architecture to operate even in the absence of routing If the attacker has completely disrupted the routing process the IDS may be able to detect the attacker and recover from it by isolating the intruder and allowing the routing protocol to recover and resume The key advantage of the hierarchical approach is it incurs much less overhead as compared with the peer-to-peer approach because nodes need to communicate with a smaller number of nodes Intrusion detection data is shared in an orderly and ef cient manner This allows IDS information to propagate throughout the network very ef ciently At each level data aggregation and consolidation can further reduce the overhead This is preferable to having every node share the same data with every other node as is done in the peer-to-peer architecture The ef cient transmission of IDS consolidated data in the hierarchical architecture also allows for raw IDS data to be shared among nodes in the network This may make it possible for detection algorithms to detect attacks that cannot be detected by the peer-to-peer architecture The disadvantage of the hierarchical approach is that it is prone to Byzantine attacks from IDS nodes Nodes that become a leader take on critical responsibility for the intrusion detection process because they are responsible for collecting and correlating intrusion detection information within neighborhoods and across neighborhoods and coordinating dissemination of alerts If one of those nodes is taken over by a malicious user it can cause a lot of harm One possible way to do so is by falsely accusing well-behaved nodes of malicious behavior Such false accusations may lead nodes in the neighborhood to consider the falsely accused nodes as malicious A leader may also attempt to convince leaders in other neighborhoods that a well-behaved node is malicious If such an attempt is successful, the falsely accused nodes may end up getting completely isolated by the.

122 From a wealth of scales arise scaling laws 1221 First discoveries During the rst decades of its evolution, traf c modeling grew considerably and came to constitute, towards the end of the 1980s, a diverse and abundant literature In parallel, the eld of network performance analysis, essentially a branch of queueing theory, grew in conjunction with this work, unveiling the positive and/or negative effects of each new model The advent of packet switching stimulated new developments and founded new classes of models, leading to a signi cant broadening in the class of systems capable of being treated However, this corpus of knowledge remained deeply rooted in the intuitive and technical foundation developed for circuit switching, a thoroughly mastered eld where models enjoyed a real and acknowledged success In fact, there was even a sense that we already knew this new concept of packet traf c, so much so that despite major changes in network structure, we hardly felt the need to compare model predictions with reality It was noted [PAW 88] that among several thousand papers published between 1966 and 1987 dealing with performance analysis, around only 50 dealt with actual network measurements In the defence of the research community of the time, it is important to note that it was far from easy to obtain measurements, particularly high quality measurements In general, collection systems lost packets and could only operate at low time resolution On the other hand, it must be recognized that it was, above all, tractability concerns which guided researchers towards models which did not necessarily have any solid link with the actual properties of the data they were supposed to describe It has long been taken as a given, and no less so today, that from the statistical point of view the fundamental characteristic of packet traf c is its bursty nature By this we refer implicitly to a comparison with traditional telephonic traf c, and more precisely, to a Poisson process, the keystone model of the circuit switching world Let us recall some of the basic properties of this point process Let N (t) be the number of points falling within the interval [0, t] The fact that the variance to mean ratio of this quantity is equal to 1 point for the mild variability of this process As far as its time dependent structure is concerned, recall that the Poisson process is the traditional example of a memoryless process: the conditional probability density of the number of points in (t1 , t2 ] given the past history, is the same as the unconditional density which takes account of neither the number of points N (t1 ) in [0, t1 ] nor of their positions Compared with this timid standard, the nature of a more boisterous traf c seemed clear in the minds of traf c engineers; it is suf cient to expect high variance/average ratios, maybe equal to 2 or even 3 and to replace exponentially decreasing covariance functions by others whose correlations are larger, but still short range, naturally! Such generalizations, often in the form of Markov chains, were developed and were taken to constitute an adequate responses to the question: what is bursty traf c At the same time, however, the signs of a forthcoming revolution were already on the horizon.

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