In wireless sensor network (WSN), increasing the network life span remains as a crucial challenge yet to be resolved. The modeling of effectual methods is necessary for conserving the scarce energy resources in WSN. To overcome such issues, cross‐layer protocols are exploited, which concerns routing the messages with increased lifetime. This study introduces a new cross‐layer design routing model under a clustering‐based approach. More importantly, the cluster head is optimally selected by a new hybrid algorithm termed as moth flame integrated dragonfly algorithm. Moreover, the optimal selection of cluster head is carried out based on parameters such as energy consumption, delay, distance, throughput, security, and overhead. Finally, the supremacy of the presented model is proved over existing models in terms of alive node analysis and network lifetime analysis. The experimental outcomes show that the proposed algorithm for test case 3 has accomplished a higher value of 66.229, which is 29.07%, 13.33%, 26.36%, and 9.67% better than conventional ant lion optimisation approach, grouped grey wolf search optimisation, firefly replaced position update in da, and alpha wolf‐assisted whale optimization algorithm, respectively, for median case scenario.
Regular expressions are very meaningful and now-a-days broadly used to represent signatures of various attacks. The focal component of today's security systems like intrusion detection and prevention system is a signature based regular expression matching. Deterministic finite automaton is often used to represent regular expressions. In regular expression matching, storage space of Deterministic finite automata is very important concern. A massive amount of memory is essential to store transition function of Deterministic finite automata. The method described in this paper reduces size of Deterministic finite automata which is in regular expression format. The performance of the regular expression matching by compressing Deterministic finite automata is evaluated by using regular expression set.
General TermsPattern matching algorithms, Network Security, Theory of Computations.
KeywordsRegular expressions; security attacks; deterministic finite automata; intrusion detection and prevention.
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