A traceable threshold attribute-based signcryption for mHealthcare social network

Lu, Yanfei; Wang, Xu; Hu, Chunqiang; Li, Hui; Huo, Yan

doi:10.1504/ijsnet.2018.088384

Cited by 14 publications

(29 citation statements)

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“…Also, it does not support mutual authentication, forward secrecy, public verifiability, and protection against replay attack. Lu et al [12] proposed a scheme for a social network-based mobile health care system that uses attribute-based signcryption. They used a fourparty model to protect patients' sensitive information.…”

Section: Related Work On Signcryption For Wbanmentioning

confidence: 99%

“…In Table 2, we summarize the contributed schemes on the basis of public key cryptosystems that are attribute based, PKI based, certificateless, certificate based, and heterogeneous, respectively. The schemes in [7,8,12,19] realized on the concept of attribute-based signcryption, while schemes in [7,8,12] at the same time utilizes the concept…”

Section: Classification Of Signcryption Schemes For Wbanmentioning

confidence: 99%

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Securing Wireless Body Area Network with Efficient Secure Channel Free and Anonymous Certificateless Signcryption

Noor

Kordy

Alkhodre

et al. 2021

Wireless Communications and Mobile Computing

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In the last few years, the wireless body area network (WBAN) has emerged as an appealing and viable option in the e-health application domain. WBAN technology is primarily used to offer continuous screening of health data to patients, independent of their location, time, or activity. A WBAN, on the other hand, is vulnerable to different cyberattacks due to the openness of the wireless environment and the privacy of people’s physiological data. A highly efficient and secure cryptographic scheme that can fulfill the needs of resource-constrained WBAN sensors and devices is considered necessary. First, we take a look at the most up-to-date security solutions for WBANs. Then, we go through some of the underlying concerns and challenges with WBAN security. We propose a new framework called secure channel free certificateless signcryption scheme for WBANs based on a hyperelliptic curve that can meet security requirements such as confidentiality, anonymity, integrity, resistance against unauthorized users, unforgeability, public verifiability, forward secrecy, and antireplay attack, all of which can be achieved with low computation and communication costs. The computation cost of the proposed scheme is 3.36 ms, which is much better than its counterpart schemes.

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Section: Related Work On Signcryption For Wbanmentioning

confidence: 99%

Section: Classification Of Signcryption Schemes For Wbanmentioning

confidence: 99%

Securing Wireless Body Area Network with Efficient Secure Channel Free and Anonymous Certificateless Signcryption

Noor

Kordy

Alkhodre

et al. 2021

Wireless Communications and Mobile Computing

View full text Add to dashboard Cite

show abstract

“…The common approach to ensure security is via preventative countermeasures, such as, access control and intrusion detection that attempt to prevent secure policy violations from security attacks [1]. Another approach is via accountability [1]- [8] -an after-the-fact examination of system activities to discern whether a violation of a security policy has occurred, and what has caused or what chain of events has led to the policy violation [1], [2], [9], [10].…”

Section: Introductionmentioning

confidence: 99%

Prototyping Flow-Net Logging for Accountability Management in Linux Operating Systems

et al. 2019

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Accountability in conjunction with preventative countermeasures is necessary to satisfy the needs of real-world computer security. A common method to achieve accountability is via logging and auditing. To achieve better accountability, a logging system should be capable of capturing activities as well as the relationships among the activities in a computer system or network. Existing logging techniques record activity events in isolation and rely on attributes and time stamps of the logged events to establish their relationships, and this approach leads to probable loss of event relationships among large and complex logs and a confusion during auditing. Prior works have indicated that flow-net is effective in addressing this problem by organizing events in a direct acyclic graph and preserving event relationships during logging. In this work, we provide a prototypical design and implementation of a flow-net accountable logging framework in the Linux operating system. Particularly, it can be applied to Internet of Things (IoTs) with Android Operating Systems. We measure the performance overhead introduced by the flow-net logging prototype via experiments in Linux. The results indicate that the flow-net prototype only introduces a small overhead when compared with existing logging methods. In addition, we show by examples enforcement of accountability policies in the flow-net logging framework and its performance overhead. This work thus constitutes a further step to advance flow-net in addressing accountability in computer systems and networks.

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“…For example, more than 400, 000 electronic eyes in Beijing may lead to privacy leakage (e.g., vehicle location information) by data sharing in vehicular ad hoc networks (VANETs) [6][7][8]. Similarly, we can also gain illegal access to personal health datasets gathered from various sensors of physical sign in body sensor networks (BSNs) and publish these private data without permission [9][10][11]. As a result, how to protect user privacy is one of the important research issues in fog computing.…”

Section: Introductionmentioning

confidence: 99%

“…The first one is designed based on various encryption technologies, such as homomorphic encryption [6,[8][9][10]. In this type, the encryption technology may cause huge computational overhead as well as lots of computing resources of cloud services [12].…”

Section: Introductionmentioning

confidence: 99%

Re‐ADP: Real‐Time Data Aggregation with Adaptive ω‐Event Differential Privacy for Fog Computing

Huo

Yong

2018

Wireless Communications and Mobile Computing

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In the Internet of Things (IoT), aggregation and release of real-time data can often be used for mining more useful information so as to make humans lives more convenient and efficient. However, privacy disclosure is one of the most concerning issues because sensitive information usually comes with users in aggregated data. Thus, various data encryption technologies have emerged to achieve privacy preserving. These technologies may not only introduce complicated computing and high communication overhead but also do not work on the protection of endless data streams. Considering these challenges, we propose a real-time stream data aggregation framework with adaptive -event differential privacy (Re-ADP). Based on adaptive -event differential privacy, the framework can protect any data collected by sensors over any dynamic time stamp successively over infinite stream. It is designed for the fog computing architecture that dramatically extends the cloud computing to the edge of networks. In our proposed framework, fog servers will only send aggregated secure data to cloud servers, which can relieve the computing overhead of cloud servers, improve communication efficiency, and protect data privacy. Finally, experimental results demonstrate that our framework outperforms the existing methods and improves data availability with stronger privacy preserving.

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A traceable threshold attribute-based signcryption for mHealthcare social network

Cited by 14 publications

References 0 publications

Securing Wireless Body Area Network with Efficient Secure Channel Free and Anonymous Certificateless Signcryption

Securing Wireless Body Area Network with Efficient Secure Channel Free and Anonymous Certificateless Signcryption

Prototyping Flow-Net Logging for Accountability Management in Linux Operating Systems

Re‐ADP: Real‐Time Data Aggregation with Adaptive ω‐Event Differential Privacy for Fog Computing

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