An Architecture for Accountable Anonymous Access in the Internet-of-Things Network

Ma, Yanfei; Wu, Yulei; Ge, Jingguo; Li, Jun

doi:10.1109/access.2018.2806483

Cited by 30 publications

(21 citation statements)

References 34 publications

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“…In the environment of high real-time performance and extensive data in the edge computing network, there are still problems such as insufficient timeliness and complicated calculation when an Complexity abnormality is discovered [12,40]. In the new attacks, such as APT, there is an important feature that is multipoint and multitarget attack, which is different from traditional ones [13][14][15]. In response to the intrusion detection problem of this type of attack, Qi [16] proposed a distributed intelligent detection model based on multiagent.…”

Section: Related Researchmentioning

confidence: 99%

“…strategy (10) end (11) else (12) ere is no optimal strategy. (13) end (14) end (15) else (16) if (υ > 1 − τ) ∧ (τ > (μβ/(ρα + μβ − εβ)))then (17) executes…”

Section: Security Analysis Of Glidementioning

confidence: 99%

“…Many researches have been carried out in the academic world to address the network security risks introduced in the development of edge computing networks [12][13][14][15][16][17][18][19][20][21][22][23][24][25][26][27][28][29]. However, as the edge computing network is a hybrid network architecture that involves multiple links and multiple technologies, a unified international standard has not yet been formed.…”

Section: Introductionmentioning

confidence: 99%

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GLIDE: A Game Theory and Data-Driven Mimicking Linkage Intrusion Detection for Edge Computing Networks

Hou

Meng

et al. 2020

Complexity

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The real-time and high-continuity requirements of the edge computing network gain more and more attention because of its active defence problem, that is, a data-driven complex problem. Due to the dual constraints of the hybrid feature of edge computing networks and the uncertainty of new attack features, implementing active defence measures such as detection, evasion, trap, and control is essential for the security protection of edge computing networks with high real-time and continuity requirements. The basic idea of safe active defence is to make the defence gain more significant than the attack loss. To encounter the new attacks with uncertain features introduced by the ubiquitous transmission network in the edge computing network, this paper investigates the attack behaviour and presents an attack-defence mechanism based on game theory. Based on the idea of dynamic intrusion detection, we utilize the game theory in the field of edge computing network and suggest a data-driven mimicry intrusion detection game model-based technique called GLIDE. The game income of participants and utility computing methods under different deployment strategies are analysed in detail. According to the proof analysis of the Nash equilibrium condition in the model, the contradictory dynamic game relationship is described. Therefore, the optimal deployment strategy of the multiredundancy edge computing terminal intrusion detection service in the edge computing network is obtained by solving the game balance point. The detection probability of the edge computing network for network attacks is improved, and the cost of intrusion detection of the edge computing network is reduced.

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Section: Related Researchmentioning

confidence: 99%

“…strategy (10) end (11) else (12) ere is no optimal strategy. (13) end (14) end (15) else (16) if (υ > 1 − τ) ∧ (τ > (μβ/(ρα + μβ − εβ)))then (17) executes…”

Section: Security Analysis Of Glidementioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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GLIDE: A Game Theory and Data-Driven Mimicking Linkage Intrusion Detection for Edge Computing Networks

Hou

Meng

et al. 2020

Complexity

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“…Early experts finding mainly uses information retrieval techniques, 3 mining experts who meet the requirements using specific terms. Early experts finding mainly uses information retrieval techniques, 3 mining experts who meet the requirements using specific terms.…”

Section: Related Workmentioning

confidence: 99%

“…Social networking research began in the 1990s of the past 20th century, and since then, experts finding research has gained some success. Early experts finding mainly uses information retrieval techniques, 3 mining experts who meet the requirements using specific terms. More and more research methods came into being with the in-depth research of expert.…”

Section: Related Workmentioning

confidence: 99%

Local experts finding using user comments in location‐based social networks

Cao

Yang

Cao

et al. 2019

Trans Emerging Tel Tech

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The opinions of local experts in the location‐based social network are of great significance to the collection and dissemination of local information. In this paper, we investigated in‐depth how the user comments can be used to identify the local expert over social networks. We first illustrate the existences of potential local experts in a social network using a scored model by considering the personal profiles, comments, friend relationship, and location preferences. Then, a multidimensional model is proposed to evaluate the local expert candidates and a local expert discovery algorithm is proposed to identify local experts. Meanwhile, a scoring algorithm is proposed to train the weights in the model. Finally, an expert recommendation list can be given based on the score ranks of the candidates. Experimental results demonstrate the effectiveness of proposed model and algorithms.

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A trust management framework for software‐defined network applications

Yao

Yan

2018

Concurrency and Computation

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The emergence of Software-Defined Network (SDN) has brought unprecedented innovation to current networks. SDN's two most notable features are decoupling and programmability. Decoupling makes network management centralized in a control plane. Meanwhile, benefitted from the programmable characteristic of SDN, new functions of networking can be easily realized. However, these features also introduce new security issues to SDN. Through the programming interface provided by SDN, software engineers can easily develop network applications to generate networking policies for SDN's control planes for the purpose of guiding network routing. But it is hard to guarantee the security and quality of these new applications. Malicious or low-quality applications could damage a whole network. To solve this problem, we propose a novel trust management framework for SDN applications in this paper. It can evaluate applications' trust values based on their impact on the network performance (such as time delay, packet loss rate, throughput, etc.). These trust values further play a decisive role for managing and selecting applications in SDN. We evaluate this framework's performance through a prototype system implemented based on a floodlight controller. The experimental results show the accuracy and effectiveness of our design.

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An Architecture for Accountable Anonymous Access in the Internet-of-Things Network

Cited by 30 publications

References 34 publications

GLIDE: A Game Theory and Data-Driven Mimicking Linkage Intrusion Detection for Edge Computing Networks

GLIDE: A Game Theory and Data-Driven Mimicking Linkage Intrusion Detection for Edge Computing Networks

Local experts finding using user comments in location‐based social networks

A trust management framework for software‐defined network applications

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