Identifying security threats in ad hoc wireless network

Ad hoc wireless networks are very vulnerable to security threats, therefore it is critical to monitor and identify any encountered security threats immediately. Once a threat is present on the network, an intrusion Detection System (IDS) tries to detect and alert on attempted intrusions into a network. In this paper, a Genetic Algorithm (GA) based adaptive approach is used to exploit IDS provided information for identifying the sources of threats containing probes from an alphabet. The characters in that alphabet, we consider are being generated into the network by a Linear Feedback Shift Register (LFSR). The LFSR is one of the widely used models of pseudo-random number generator (PRNG).