Review on state of art intrusion detection systems designed for the cloud computing paradigm

Abstract

Cloud Computing is an emerging technology that enhances capability, usability and scalability of computer systems. On account of some exclusive features, cloud computing system always differs from the traditional computer system; not only the capabilities but also the vulnerabilities and threats. Intrusion Detection System (IDS) is a significant component of computer system security and compliance practices that protects computer systems from various types of malicious activities and attacks. Intrusion Detection Systems have been evolved over decades and various types of systems are currently available to identify and eradicate attacks based on different system conditions and different aptitudes.The main purpose of this paper is to review the state-of-art Intrusion Detection Systems available for cloud computing paradigm, which adhere to features of cloud computing architecture. Scalability, elasticity, reliability, performance, security and distributed nature of the Intrusion Detection Systems will be reviewed in order to identify suitable approaches for cloud computing.

Cloud Storage untuk Embedded Intrusion Detection System

“…Google mengembangkan layanan berbayar bernama Cloud IDS yang berbasis cloud-native dengan biaya sewa $1.5 setiap jam pengawasan dari setiap endpoint yang diawasi dan $0.07 untuk setiap Gigabyte data yang dianalisis dan diproses [16]…”

Intrusion detection systems in the cloud computing: A comprehensive and deep literature review

“…NIDS performs an analysis of the network traffic via the network's transport layer and network layer to detect the intrusions signs like Denial-of-Service (DoS) attacks and port scans. 155 The IDS should be placed somewhere with complete network traffic monitor visibility. 156 Modi et al 106 combined a signature apriori-depended NIDS to cloud.…”

“…HIDS is nominated as distributed IDS (DIDS). 155 HIDS uses two or more techniques for intrusion detection. It includes numerous intrusions detection procedures (e.g., NIDS, HIDS) within a vast network, the whole of which link together or through a central server that conducts network monitoring.…”

Detecting intrusions in control systems : A rule of thumb, its justification and illustrations

“…Computer systems monitor and control a myriad of physical processes, and their protection against random errors, deliberate intrusions (e.g., Denning, 1987;Debar et al, 1999;Cárdenas et al, 2011;Premathilaka et al, 2013; and references therein), false data injections (e.g., Liang, 2017; and references therein), and other disruptors has become of much interest. A number of sophisticated methods have been suggested in the literature for tackling such problems, including probabilistic (e.g., Huang et al, 2016;Onoda, 2016), deep learning (e.g., He et al, 2017), and artificial neural networks based methods (e.g., Potluri, 2017), to name a few.…”