A proposal for trust monitoring in a Network Functions Virtualisation Infrastructure

Benedictis, Marco De; Lioy, Antonio

doi:10.1109/netsoft.2019.8806655

Cited by 7 publications

(3 citation statements)

References 6 publications

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“…The Verifier relies on a trusted signatures database to appraise the trust level of a received token. Several works leverage Trust Computing technologies for SPIV [43], [50]- [52].…”

Section: Software Package Integrity Verificationmentioning

confidence: 99%

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Network Services Anomalies in NFV: Survey, Taxonomy, and Verification Methods

Zoure

Ahmed

Réveillère

2022

IEEE Trans. Netw. Serv. Manage.

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Network Function Virtualization (NFV) has emerged as a disruptive networking architecture whose galloping evolution is prompting enterprises to outsource network functions to the cloud and ultimately harvest the fruits of cloud computing, including elasticity, pay-as-you-go billing model, and on-demand services provisioning. However, many reluctant enterprises oppose the benefits of this outsourcing to their critical and pressing concerns about security, trust, and compliance. The latter anticipate possible security and QoS policy violations stemming from dishonest behaviors by cloud providers, attacks by co-resident competitors, misconfiguration by cloud administrators, or implementations flaws by NFV developers. As a result, migrating sensitive workloads to the cloud requires enterprises to first assess risks by gaining knowledge of possible network services' anomalies and second, to build trust in the cloud by designing effective mechanisms to detect such anomalies.This survey provides scrutiny of network services anomalies that may occur in the NFV environments. We first present a taxonomy of network service anomalies and analyze their negative impacts on critical service attributes, including security and performance. Second, we compare and classify the existing anomalies' verification mechanisms from the literature. Finally, we point out the literature gap and identify future research directions for anomalies verification in NFV.

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“…The Verifier relies on a trusted signatures database to appraise the trust level of a received token. Several works leverage Trust Computing technologies for SPIV [43], [50]- [52].…”

Section: Software Package Integrity Verificationmentioning

confidence: 99%

“…To address such a challenge, Trust Monitor (TM) [50] leverages attestation drivers as plugins to implement remote attestation workflows for various RoTs, including TPM, Intel SGX, and AMD SEV. Furthermore, TM's framework integrates within the NFV MANO as a stand-alone module.…”

Section: Software Package Integrity Verificationmentioning

confidence: 99%

Network Services Anomalies in NFV: Survey, Taxonomy, and Verification Methods

Zoure

Ahmed

Réveillère

2022

IEEE Trans. Netw. Serv. Manage.

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“…Because the system includes various operators, certainly, the cooperation of these operators can be imperfect and every element may conduct in a greedy or uncooperative manner for gaining benefits. The NFV virtualization attacks can be originated from each element and may target part or all of the system [5].…”

Section: Nfv Security Threats and Solutionsmentioning

confidence: 99%

The Security Threats and Solutions of Network Functions Virtualization: A Review

Mazher,

Waleed,

MaoLood

2020

J. Al-Qadisiyah Comp. Sci. Math.

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The appearance of Network Functions Virtualization (NFV) has provided a revolution in various network-based applications owing to its different advantages like manageability, flexibility, security, and scalability. The users of NFV are provided with a framework that supplies different flexible network services in a dynamic way via the software-based virtualization of network functions in a single infrastructure. Nevertheless, NFV confront various challenges of security which make it vulnerable to several cybersecurity threats. In this paper, a review of NFV has been provided by introducing many related works, discussing serious and potential security attacks on the NFV, and presenting the efficient countermeasures for mitigating these attacks. Finally, several practical solutions are suggested for providing a reliable platform for NFV

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