Despite the increasing popularity of cloud services, ensuring the security and availability of
data, resources and services remains an ongoing research challenge. Distributed denial of …

Threats of distributed denial of service (DDoS) attacks have been increasing day-by-day due
to rapid development of computer networks and associated infrastructure, and millions of …

Several new technologies such as the smart cities, the Internet of Things (IoT), and 5G
Internet need services offered by cloud computing for processing and storing more …

Abstract Distributed Denial of Service (DDoS) attacks represent a major threat to
uninterrupted and efficient Internet service. In this paper, we empirically evaluate several …

Network attack behavior detection using deep learning is an important research topic in the
field of network security. Currently, there are still many challenges in detecting multi-class …

Application layer Denial-of-Service (DoS) attacks are generated by exploiting vulnerabilities
of the protocol implementation or its design. Unlike volumetric DoS attacks, these are …

Application layer distributed denial of service (DDoS) attacks have become a severe threat
to the security of web servers. These attacks evade most intrusion prevention systems by …

In this article, the application of the deep learning method based on Gaussian–Bernoulli
type restricted Boltzmann machine (RBM) to the detection of denial of service (DoS) attacks …

The wide proliferation of telecommunication technologies in the last decade gives rise to the
number of more sophisticated security threats. Software-Defined Networking (SDN) is a new …

IoT are prone to vulnerabilities as a result of a lack of centralized management, dynamic
topologies, and predefined boundary. There are diverse attacks that affect the performance …