Malicious URL detection is an emerging research area due to the continuous modernization of various systems, for instance, Edge Computing. This article presents a novel malicious technique called deepBF (deep learning and Bloom Filter). presented in two-fold. Firstly, we propose learned Filter using 2-dimensional Filter. We experimentally decide best non-cryptography string hash function. Then,...

The expansion of the scale Power Internet Things stimulated by development Energy makes growth in demand for effective authentication and access control technologies cross-domain data exchange. Based on cross-chain technology blockchain cuckoo filter, this paper proposes a scheme Things. Firstly, architecture is established. Combined with existing used intra-domain authentication, process based...

Cuckoo hashing holds great potential as a high-performance hashing scheme for real applications. Up to this point, the greatest drawback of cuckoo hashing appears to be that there is a polynomially small but practically significant probability that a failure occurs during the insertion of an item, requiring an expensive rehashing of all items in the table. In this paper, we show that this failu...

This research work intends to propose a system with improved cuckoo searchbased robust ensemble co-clustering algorithm (ICS RECCA) for enzyme clustering. The cuckoo search algorithm has been inspired by the obligate brood parasitism of some cuckoo species by laying their eggs in the nests of other host birds (of other species). Some host birds can engage direct conflict with the intruding cuck...

Recent evidence suggests that blue-green coloration of bird eggshells may be related to female and/or egg phenotypic quality, and that such colour may affect parental effort and therefore the nutritional environment of developing nestlings. Here we suggest that these relationships and the signal function of eggshell coloration would affect the outcome of coevolution between avian brood parasite...

An important function in modern routers and switches is to perform a lookup for a key. Hash-based methods, and in particular cuckoo hash tables, are popular for such lookup operations, but for large structures stored in off-chip memory, such methods have the downside that they may require more than one off-chip memory access to perform the key lookup. Although the number of off-chip memory acce...

Abstract Intrusion Detection is essential to identify malicious incidents and continuously alert many users of the Internet Things (IoT). The constant monitoring events generated from devices connected IoT extensive analysis every event based on predefined security policies consumes enormous resources. Accordingly, performance enhancement a crucial concern in other massive Big Data Applications...

Hash tables are an essential data-structure for numerous networking applications (e.g., connection tracking, rewalls, network address translators). Among these, cuckoo hash tables provide excellent performance by allowing lookups to be processed with very few memory accesses (2 to 3 per lookup). Yet, for large tables, cuckoo hash tables remain memory bound and each memory access impacts perform...

BACKGROUND Antagonistic species often interact via matching of phenotypes, and interactions between brood parasitic common cuckoos (Cuculus canorus) and their hosts constitute classic examples. The outcome of a parasitic event is often determined by the match between host and cuckoo eggs, giving rise to potentially strong associations between fitness and egg phenotype. Yet, empirical efforts ai...

This research work intends to propose a system with improved cuckoo search based robust ensemble co-clustering algorithm (ICS RECCA) for enzyme clustering. The cuckoo search algorithm has been inspired by the obligate brood parasitism of some cuckoo species by laying their eggs in the nests of other host birds (of other species). Some host birds can engage direct conflict with the intruding cuc...