Enforcing Trust-Based Intrusion Detection in Cloud Computing Using Algebraic Methods

Bradai, Amira; Afifi, Hossam

doi:10.1109/cyberc.2012.38

Cited by 9 publications

(2 citation statements)

References 15 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…But this technique can create overhead in the network. In [17], we proposed to use reputation to update trust between nodes on hybrid cloud computing. It is a lightweight mechanism using that gives dynamic evaluation.…”

Section: A Intrusion Detection Trust Management and Game Theorymentioning

confidence: 99%

Game Theoretic Framework for Reputation-Based Distributed Intrusion Detection

Bradai

Afifi

2013

2013 International Conference on Social Computing

Self Cite

View full text Add to dashboard Cite

Host-Based Intrusion Detection Systems (HIDS) have been widely used to detect malicious behaviors of nodes in heterogenous networks. Collaborative intrusion detection can be more secure with a framework using reputation aggregation as an incentive. The problem of incentives and efficiency are well known problems that can be addressed in such collaborative environment. In this paper, we propose to use game theory to improve detection and optimize intrusion detection systems used in collaboration. The main contribution of this paper is that the reputation of HIDS is evaluated before modeling the game between the HIDS and attackers. Our proposal has three phases: the first phase builds reputation evaluation between HIDS and estimates the reputation for each one. In the second phase, a proposed algorithm elects a leader using reputation value to make decisions. In the last phase, using game theory the leader decides to activate or not the HIDS for optimization reasons.

show abstract

Section: A Intrusion Detection Trust Management and Game Theorymentioning

confidence: 99%

Game Theoretic Framework for Reputation-Based Distributed Intrusion Detection

Bradai

Afifi

2013

2013 International Conference on Social Computing

Self Cite

View full text Add to dashboard Cite

show abstract

“…Previous work for trust management in cloud computing are not specialized on how to take efficiently the recommendation. In [27], we use some algebraic methods to evaluate the trust in multi-domain cloud based applications. Our model in this paper compute global trust needed for submitting tasks in public cloud taking into consideration the credibility factor and the history of previous interactions.…”

Section: B Existing Reputation-based Trust Modelsmentioning

confidence: 99%

Byzantine Resistant Reputation-based Trust Management

Bradai¹,

Ben‐Ameur²,

Afifi³

2013

Proceedings of the 9th IEEE International Conference on Collaborative Computing: Networking, Applications and Worksharing

Self Cite

View full text Add to dashboard Cite

Cloud computing is very useful for improving distributed applications performance. However, it is difficult to manage risks related to trust when collaborating with unknown and potentially malicious peers. Besides, trust evaluation is the target of dishonest behaviors trying to disturb the control process. In this paper, reputation-based trust management models for cloud computing are proposed. These Peer-to-Peer (P2P) reputation models are based on the interaction between peers. Using evaluations and feedbacks, a central entity can estimate the trust of a given peer. Three approaches are proposed to estimate the trust: PerronTrust, CredTrust and CredTrust-trust. They are studied, simulated and compared between them and to two existing methods for trust under several attack scenarios. Our analysis clearly shows that the third approach CredTrust-trust combining the concepts of trust and credibility in an appropriate way is the most efficient to avoid malicious behaviors and to guide and advise future executions in the open cloud in term of selecting the dependable and reliable peers in cloud environment.

show abstract

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

Liu

Cheng

et al. 2021

Concurrency and Computation

View full text Add to dashboard Cite

Abrupt development of resources and rising expenses of infrastructure are leading institutions to take on cloud computing. Albeit, the cloud environment is vulnerable to various sorts of attacks. So, recognizing malicious software is one of the principal challenges in cloud security governance. Intrusion detection system (IDS) has turned to the most generally utilized element of computer system security that asserts the cloud from diverse sorts of attacks and threats. As evident, no systematic literature review exists that focuses on cloud computing usage within IDS processes. The previous investigations had not considered the statistical analysis method. Hence, this paper examined the IDS mechanisms in cloud computing systematically. Twenty-two articles have been obtained using defined filters divided into four sections: hypervisor-based IDS, network-based IDS, machine learning-based IDS, and hybrid IDS. The comparison is performed depending on the outcomes illustrated in the investigations. It demonstrates that IDS precision, inclusiveness, overhead, and reaction time have been discussed in many studies. Simultaneously, less attention has been paid to cost-sensitivity, functioning, attack tolerance, and intrusion facing. This paper has made an excellent effort to organize literature drawn from multiple sources into a manuscript.

show abstract

Enforcing Trust-Based Intrusion Detection in Cloud Computing Using Algebraic Methods

Cited by 9 publications

References 15 publications

Game Theoretic Framework for Reputation-Based Distributed Intrusion Detection

Game Theoretic Framework for Reputation-Based Distributed Intrusion Detection

Byzantine Resistant Reputation-based Trust Management

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

Contact Info

Product

Resources

About