Over the last five years there has been an increase in the frequency and diversity of network
attacks. This holds true, as more and more organizations admit compromises on a daily …

The distributed and open structure of cloud computing and services becomes an attractive
target for potential cyber-attacks by intruders. The traditional Intrusion Detection and …

Due to the widespread diffusion of network connectivity, the demand for network security
and protection against cyber-attacks is ever increasing. Intrusion detection systems (IDS) …

Abstract In the Internet of Things (IoT), resource-constrained things are connected to the
unreliable and untrusted Internet via IPv6 and 6LoWPAN networks. Even when they are …

In this paper, a new hybrid intrusion detection method that hierarchically integrates a misuse
detection model and an anomaly detection model in a decomposition structure is proposed …

From basic concepts in machine learning and data mining to advanced problems in the
machine learning domain, this book provides a unified reference for specific machine …

Distributed and Cloud Computing: From Parallel Processing to the Internet of Things offers
complete coverage of modern distributed computing technology including clusters, the grid …

This paper proposes a novel approach for intrusion detection system based on sampling
with Least Square Support Vector Machine (LS-SVM). Decision making is performed in two …

In this paper, a hybrid method of support vector machine and genetic algorithm (GA) is
proposed and its implementation in intrusion detection problem is explained. The proposed …

This paper presents a new distributed approach to detecting DDoS (distributed denial of
services) flooding attacks at the traffic-flow level The new defense system is suitable for …