A collaborative framework for intrusion detection (C-NIDS) in Cloud computing

Haddad, Zayed Al; Hanoune, Mostafa; Mamouni, Abdelaziz

doi:10.1109/cloudtech.2016.7847708

Cited by 15 publications

(10 citation statements)

References 9 publications

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“…Furthermore, information entropy is applied to monitor the status of virtual machines for detecting attacks in cloud environment. In [13]. authors proposed new Collaborative Network Intrusion Detection System (C-NIDS).…”

Section: Related Workmentioning

confidence: 99%

A Novel Scheme for Malicious Nodes Detection in Cloud Markets Based on Fuzzy Logic Technique

Alsarhan

Al-Ghuwairi²,

Alshdaifat³

et al. 2022

Int. J. Interact. Mob. Technol.

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Cloud security vulnerabilities have recently become more prevalent around the world, posing a threat to cloud service providers' (CSPs) ability to respond to client demands. In cloud market, the requests are announced by the client nodes to their CSP. A malicious node can alter a client's request, resulting in the next cloud market collapse, decreased reliability, and data leaking.To identify malicious nodes in the cloud market, a novel fuzzy multiple criterion decision making scheme is suggested. Authentication test, trust level, traffic size, and node activity levels are all taken into consideration simultaneously as the major criteria for identifying malicious nodes. For each node, the CSP uses fuzzy Integral to generate a composite value based on these criteria. The malicious node is then removed from the cloud market using this composite value. The simulation results demonstrated the potential of the proposed method to prevent nodes in the cloud market from running malware or software that can be used to degrade quality of service by exhausting resources in the cloud market.

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Section: Related Workmentioning

confidence: 99%

A Novel Scheme for Malicious Nodes Detection in Cloud Markets Based on Fuzzy Logic Technique

Alsarhan

Al-Ghuwairi²,

Alshdaifat³

et al. 2022

Int. J. Interact. Mob. Technol.

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“…In their research, Al Haddad et al proposed a collaborative network intrusion detection system for cloud computing environment. Their work proposed that the NIDS should be placed at the front end as well as at the back end on Virtual Machine Monitor (VMM) of a cloud network environment [33]. This hybrid-based NIDS consists of packet sniffing module, signature-based detection, anomaly detection, alert system and central log database.…”

Section: Distributed Collaborative and Agent Based Cloud Idsmentioning

confidence: 99%

State of the Art Intrusion Detection System for Cloud Computing

Ahmad

Zainudin

Kama

et al. 2022

Int. j. commun. netw. inf. secur.

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The term Cloud computing is not new anymore in computing technology. This form of computing technology previously considered only as marketing term, but today Cloud computing not only provides innovative improvements in resource utilisation but it also creates a new opportunities in data protection mechanisms where the advancement of intrusion detection technologies are blooming rapidly. From the perspective of security, Cloud computing also introduces concerns about data protection and intrusion detection mechanism. This paper surveys, explores and informs researchers about the latest developed Cloud Intrusion Detection Systems by providing a comprehensive taxonomy and investigating possible solutions to detect intrusions in cloud computing systems. As a result, we provide a comprehensive review of Cloud Intrusion Detection System research, while highlighting the specific properties of Cloud Intrusion Detection System. We also present taxonomy on the key issues in Cloud Intrusion Detection System area and discuss the different approaches taken to solve the issues. We conclude the paper with a critical analysis of challenges that have not fully solved.

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“…It identifies the class level for the intrusion whether normal or intrusion, based on the network packets. If an intrusion is found, it should send a warning to the alert or information security system for further action [22]. Hadoop is an open source software, which is becoming popular with cloud administrators.…”

Section: Literature Reviewmentioning

confidence: 99%

Cloud Computing Security Services to Mitigate DDoS Attacks

Bhardwaj¹,

Goundar²

2020

Cloud Computing Security - Concepts and Practice

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This chapter focuses on the challenges and risks faced in cloud security services in the areas which include identity access management, web security, email security, network security, encryption, information security, intrusion management, and disaster management while implementing a cloud service infrastructure. This chapter endorses the best practices in successfully deploying a secure private cloud infrastructure with security measures and mitigation and proposed a unique three-tier infrastructure design to mitigate distributed denial of service attacks on cloud infrastructures.

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A collaborative framework for intrusion detection (C-NIDS) in Cloud computing

Cited by 15 publications

References 9 publications

A Novel Scheme for Malicious Nodes Detection in Cloud Markets Based on Fuzzy Logic Technique

A Novel Scheme for Malicious Nodes Detection in Cloud Markets Based on Fuzzy Logic Technique

State of the Art Intrusion Detection System for Cloud Computing

Cloud Computing Security Services to Mitigate DDoS Attacks

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