Abstract Even though advanced Machine Learning (ML) techniques have been adopted for
DDoS detection, the attack remains a major threat of the Internet. Most of the existing ML …

Cloud Computing services are often delivered through HTTP protocol. This facilitates access
to services and reduces costs for both providers and end‐users. However, this increases the …

Anomaly based intrusion detection system (A-IDS) is considered to be a better option than
signature based system since it does not require prior knowledge of attack signature before …

Abstract Distributed Denial of Service (DDoS) attack launched in Cloud computing
environment resulted in loss of sensitive information, Data corruption and even rarely lead to …

Every computer on the Internet these days is a potential target for a new attack at any
moment. In this paper we propose a method to enhance network security using entropy …

Distributed denial of service or DDoS attack is a kind of network attack that is used to destroy
the normal operations of the server and its responses. There are several approaches …

This paper presents a study of the improvement in efficiency of the Rabin-Karp
patternmatching algorithm based Deep Packet Inspection. NVIDIA GPU is programmed with …

A major threat to cloud infrastructure network is distributed denial of service (DDoS) attacks.
It makes the resources unavailable for its anticipated users, which can be accomplished …

The network behavior analysis relies on the understanding of normal or acceptable behavior
characteristics in the network communication, in order to efficiently detect the anomalous …

ABSTRACT A network exploit known as a distributed denial of service (DDoS) attack is used
to disable a server's regular operations and responses. During the DDoS attack the …