Edge technology aims to bring cloud resources (specifically, the computation, storage, and
network) to the closed proximity of the edge devices, ie, smart devices where the data are …

An exponential increase in the data generation resources is widely observed in last decade,
because of evolution in technologies such as-cloud computing, IoT, social networking, etc …

In an edge storage system, popular data can be stored on edge servers to enable low-
latency data retrieval for nearby users. Suffering from constrained storage capacities, edge …

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 …

Today is the era of smart devices. Through smart devices, people remain connected with
each other across the globe. But, it led the current Internet towards scalability issues …

Congestion control is one of the primary challenges in improving the performance of
wireless sensor networks (WSNs). With the development of this network based on the …

Bloom Filter is a probabilistic data structure for the membership query, and it has been
intensely experimented in various fields to reduce memory consumption and enhance a …

A Bloom filter is a probabilistic data structure for approximate membership filtering. It is
applied in diverse Network systems to enhance a system's performance and reduce the …

The recently proposed learned bloom filter (LBF) opens a new perspective on how to
reconstruct bloom filters with machine learning. However, the LBF has a massive time cost …

Intrusion Detection is essential to identify malicious incidents and continuously alert many
users of the Internet of Things (IoT). The constant monitoring of events generated from many …