Bloom filter (BF) has been widely used to support membership query, ie, to judge whether a
given element x is a member of a given set S or not. Recent years have seen a flourish …

The unprecedented progress in computational technologies led to a substantial proliferation
of artificial intelligence applications, notably in the era of big data and IoT devices. In the …

Finding top-k elephant flows is a critical task in network traffic measurement, with many
applications in congestion control, anomaly detection and traffic engineering. As the line …

The Industrial Internet of Things (IIoT) is the essential component of Industry 4.0. Blockchain
is a promising technology for secure data sharing and trustable cooperation between IIoT …

Network performance problems are notoriously difficult to diagnose. Prior profiling systems
collect performance statistics by keeping information about each network flow, but …

A blockchain is a distributed ledger composed of immutable blocks of data that often refer to
money transfers. As blockchain networks gain popularity, there is a rising concern for …

In the evolving landscape of the Internet of Things (IoT), ensuring the security and integrity of
data transmission remains a paramount challenge. Routing Protocol for Low-Power and …

Abstract The recently proposed Learned Bloom Filter (LBF) provides a new perspective on
large-scale membership queries by using machine learning to replace the traditional bloom …

Blockchain networks suffer from a critical scalability problem that is often expressed in two
dimensions: the size of the network state and the computational overhead in processing …

In a keyword-based auditing paradigm, users typically focus on specific parts of a dataset
rather than the integrity of the dataset as a whole. However, this approach is subjective and …