LACS: A Lightweight Label-Based Access Control Scheme in IoT-Based 5G Caching Context

Wang, Qixu; Chen, Dajiang; Zhang, Ning; Qin, Zhen

doi:10.1109/access.2017.2678510

Cited by 52 publications

(40 citation statements)

References 35 publications

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“…The second round is to construct the compliance interval of in accordance with its monitoring dataset . First, we can calculate the mean and variance of by (8) and (9).…”

Section: Compliance Assessmentmentioning

confidence: 99%

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SCCAF: A Secure and Compliant Continuous Assessment Framework in Cloud‐Based IoT Context

Jin

Wang

et al. 2018

Wireless Communications and Mobile Computing

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The Internet of Things (IoT) offers a wide variety of benefits to our daily lives in many ways, ranging from smart wearable devices to industrial systems. However, it also brings well-known security and compliance concerns, especially in the physical layer. In addition, due to numerous IoT architectures which have been developed and deployed based on the cloud, the security and compliance of IoT depend on the cloud thoroughly. In this paper, a secure and compliant continuous assessment framework (SCCAF) is proposed to evaluate the security and compliance levels of cloud services in life-cycle. The SCCAF facilitates cloud service to customers to select an optimal cloud service provider (CSP) which satisfies their desired security requirements. Moreover, it also enables cloud service customers to evaluate the compliance of the selected CSP in the process of using cloud services. To evaluate the performance and availability of SCCAF, we carry out a series of experiments with case study and real-world scenario datasets. Experimental results show that SCCAF can assess the security and compliance of CSPs efficiently and effectively.

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“…The second round is to construct the compliance interval of in accordance with its monitoring dataset . First, we can calculate the mean and variance of by (8) and (9).…”

Section: Compliance Assessmentmentioning

confidence: 99%

“…Nevertheless, there is little literature on the IoT security and compliance assessment [8]. The traditional existing literatures with respect to security of IoT focus on dealing with wireless networks [2,9,10]. Therefore, the premise of securing the cloud-based IoT context is to evaluate the security and compliance of cloud service.…”

Section: Introductionmentioning

confidence: 99%

SCCAF: A Secure and Compliant Continuous Assessment Framework in Cloud‐Based IoT Context

Jin

Wang

et al. 2018

Wireless Communications and Mobile Computing

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“…Protecting the privacy of patient data is challenge for eHealth and plenty of studies have been conducted on eHealth security [26][27][28][29][30][31][32][33]. Differential privacy can ensure that when one record in the input database of mechanism is changed, the output of is insensitive to the change [34].…”

Section: Related Workmentioning

confidence: 99%

Frequent Symptom Sets Identification from Uncertain Medical Data in Differentially Private Way

Ding

Qin

2017

Scientific Programming

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Data mining techniques are applied to identify hidden patterns in large amounts of patient data. These patterns can assist physicians in making more accurate diagnosis. For different physical conditions of patients, the same physiological index corresponds to a different symptom association probability for each patient. Data mining technologies based on certain data cannot be directly applied to these patients’ data. Patient data are sensitive data. An adversary with sufficient background information can make use of the patterns mined from uncertain medical data to obtain the sensitive information of patients. In this paper, a new algorithm is presented to determine the top K most frequent itemsets from uncertain medical data and to protect data privacy. Based on traditional algorithms for mining frequent itemsets from uncertain data, our algorithm applies sparse vector algorithm and the Laplace mechanism to ensure differential privacy for the top K most frequent itemsets for uncertain medical data and the expected supports of these frequent itemsets. We prove that our algorithm can guarantee differential privacy in theory. Moreover, we carry out experiments with four real-world scenario datasets and two synthetic datasets. The experimental results demonstrate the performance of our algorithm.

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“…For another one, healthcare provider can access medical records remotely to provide medical treatment in real time. Although great potential in improving healthcare quality has been shown, security and privacy protection of data collected from WBANs remains to be a major concern [3,4], which hampers the far-ranging application of WBANs since the data stored on servers are no longer out of physical control by data owners.…”

Section: Introductionmentioning

confidence: 99%

A Lightweight Fine-Grained Search Scheme over Encrypted Data in Cloud-Assisted Wireless Body Area Networks

Cao

Wang

Qin

et al. 2019

Wireless Communications and Mobile Computing

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The wireless body area networks (WBANs) have emerged as a highly promising technology that allows patients' demographics to be collected by tiny wearable and implantable sensors. These data can be used to analyze and diagnose to improve the healthcare quality of patients. However, security and privacy preserving of the collected data is a major challenge on resource-limited WBANs devices and the urgent need for fine-grained search and lightweight access. To resolve these issues, in this paper, we propose a lightweight fine-grained search over encrypted data in WBANs by employing ciphertext policy attribute based encryption and searchable encryption technologies, of which the proposed scheme can provide resource-constraint end users with fine-grained keyword search and lightweight access simultaneously. We also formally define its security and prove that it is secure against both chosen plaintext attack and chosen keyword attack. Finally, we make a performance evaluation to demonstrate that our scheme is much more efficient and practical than the other related schemes, which makes the scheme more suitable for the real-world applications.

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LACS: A Lightweight Label-Based Access Control Scheme in IoT-Based 5G Caching Context

Cited by 52 publications

References 35 publications

SCCAF: A Secure and Compliant Continuous Assessment Framework in Cloud‐Based IoT Context

SCCAF: A Secure and Compliant Continuous Assessment Framework in Cloud‐Based IoT Context

Frequent Symptom Sets Identification from Uncertain Medical Data in Differentially Private Way

A Lightweight Fine-Grained Search Scheme over Encrypted Data in Cloud-Assisted Wireless Body Area Networks

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