A Cooperative Intrusion Detection System Framework for Cloud Computing Networks

Lo, Chi-Chun; Huang, Chün-chieh; Ku, Joy P.

doi:10.1109/icppw.2010.46

Cited by 176 publications

(103 citation statements)

References 8 publications

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“…With a detection accuracy of close to 100% and a false alarm rate of close to 1%, the ID system proposed by [8] is able to detect HTTP anomalies at the SaaS layer. Research in [4] has demonstrated that the proposed IDP system is able to detect and prevent DoS and DDoS with 97% accuracy. Moreover, with a computation time per packet which is less than 0.003 seconds, this proposed IDP system is able to prevent the Cloud service from single point of failure attack.…”

Section: Comparison Of Far Idp System With Other Systemsmentioning

confidence: 99%

Intrusion detection and prevention of web service attacks for software as a service: Fuzzy association rules vs fuzzy associative patterns

Chan

Chua

Lee

2016

IFS

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Section: Comparison Of Far Idp System With Other Systemsmentioning

confidence: 99%

Intrusion detection and prevention of web service attacks for software as a service: Fuzzy association rules vs fuzzy associative patterns

Chan

Chua

Lee

2016

IFS

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“…For this purpose new methods are being developed to detect attacks, when analysis is based on huge amounts of data. In this context, authors of [24] extend the basic IDS classification by adding the: Artificial neural network based IDS (ANN), Fuzzy logic based IDS, Association rule based IDS, Support Vector Machine (SVM) based IDS, and Genetic algorithm (GA) based IDS. The above mentioned IDS types are strictly related to techniques used for high volume data analysis for attack detection purposes.…”

Section: Intrusion Detection In Cloud Systemsmentioning

confidence: 99%

A distributed IDS architecture model for Smart Home systems

et al. 2017

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The common use of smart devices encourages potential attackers to violate privacy. Sometimes taking control of one device allows the attacker to obtain secret data (such as password for home WiFi network) or tools to carry out DoS attack, and this, despite the limited resources of such devices. One of the solutions for gaining users' confidence is to assign responsibility for detecting attacks to the service provider, particularly Internet Service Provider (ISP). It is possible, since ISP often provides also the Home Gateway (HG)-device that has multiple roles: residential router, entertainment center, and home's "command and control" center which allows to manage the Smart Home entities. The ISP may extend this set of functionalities by implementing an intrusion detection software in HG provisioned to their customers. In this article we propose an Intrusion Detection System (IDS) distributed between devices residing at user's and ISP's premises. The Home Gateway IDS and the ISP's IDS constitute together a distributed structure which allows spreading computations related to attacks against Smart Home ecosystem. On the other hand, it also leverages the operator's knowledge of security incidents across the customer premises. This distributed structure is supported by the ISP's expert system that helps to detect distributed attacks i.e., using botnets.

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“…Chi-Chun Lo et al [8] proposed a cooperative intrusion detection system for dos attack in cloud. The proposed system is Distributed IDS and uses cooperative defense for each cloud environment by the IDSs.…”

Section: A Cooperative Intrusion Detection System Framework For Cloudmentioning

confidence: 99%

A Survey of Intrusion Detection System for Denial of Service Attack in Cloud

Sharma¹,

Gupta²,

Agrawal³

2015

IJCA

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Cloud computing provides its user a lot of advantages but this technology has quite a bit of flaws as well. One of main flaw in cloud is the security present in the cloud. There are various threats, attacks and security issues that pertain in cloud. Among all the attacks DoS is a crucial one. The main aim of this attack is to bring down the services and resources and thus effecting everyone who is accessing the resource. This paper discusses about the Denial of Service attack or DoS attack in cloud environment and what are the various detection methods which have been proposed for the same.There are various benefits of using cloud over a traditional approach. Cloud helps to reduce the cost; it provides global accessibility, unlimited storage capacity, improved performance and many more advantages but apart from providing a lot of benefits there are various issues which are associated with cloud. One of the major issues associated with cloud is the security associated with the cloud. As we know in cloud every user has access to the data residing in the cloud so security of data is a major concern. Apart from the data security there are several threats like manin-the-middle, spoofing/sniffing, account or service hijacking etc. These threats aims to make the services of cloud weaker and sometimes even bring down them down.

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A Cooperative Intrusion Detection System Framework for Cloud Computing Networks

Cited by 176 publications

References 8 publications

Intrusion detection and prevention of web service attacks for software as a service: Fuzzy association rules vs fuzzy associative patterns

Intrusion detection and prevention of web service attacks for software as a service: Fuzzy association rules vs fuzzy associative patterns

A distributed IDS architecture model for Smart Home systems

A Survey of Intrusion Detection System for Denial of Service Attack in Cloud

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