Knowledge-Defined Networking (KDN) necessarily consists of a knowledge plane for the
generation of knowledge, typically using machine learning techniques, and the …

Abstract The Internet of Things (IoT) is an emerging field of technology with a huge scope of
its applicability in various industries and a wide range of societal needs, including medical …

The frequency of link failures in Internet-of-Things (IoT) network are more than the node
failures. Hence, effective link recovery schemes are required for a seamless communication …

Distributed denial of service (DDoS) attacks continue to be a major security concern,
threatening the availability and reliability of network services. Software-defined networking …

Cyber attack detection is the process of detecting and responding to malicious or
unauthorized activities in networks, computer systems, and digital environments. The …

The digital supply chain has become an integral part of modern business operations,
enabling efficient and streamlined processes. However, with the rapid advancement of …

Proof of work (PoW) is one of the most widely used consensus algorithms in blockchain
networks. It mainly uses the competition between mining nodes to obtain block rewards …

This paper focuses on the implementation of nfstream, an open source network data
analysis tool and machine learning model using the TensorFlow library for HTTP attack …

A Distributed Denial of Service (DDoS) attack is a prevalent issue in the blockchain network
layer, causing significant revenue loss for honest mining pools. This paper introduces a …

Abstract Recent advancements in Deep Learning models hold the potential to revolutionize
the automated analysis of EEG data for early and accurate diagnosis of epileptic seizures …