Lightweight Attribute-Based Encryption for the Internet of Things

Oualha, Nouha; Nguyen, Kim Thuat

doi:10.1109/icccn.2016.7568538

Cited by 55 publications

(34 citation statements)

References 7 publications

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“…The cost due to message exchanges is very considerable in the radio field and must not be neglected. 7 properties related to the users in the system, for example: PhD student can be considered as an attribute On the other hand, Nouha et al [99] proposed ABE based solution that ensures a tradeoff between computation and storage capacity of constrained devices. They use a pre-computation technique in order to reduce computation cost.…”

Section: Attribute Based Encryption (Abe)mentioning

confidence: 99%

Internet of things security: A top-down survey

2018

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Internet of Things (IoT) is one of the promising technologies that has attracted a lot of attention in both industrial and academic fields these years. It aims to integrate seamlessly both physical and digital worlds in one single ecosystem that makes up a new intelligent era of Internet. This technology offers a huge business value for organizations and provides opportunities for many existing applications such as energy, healthcare and other sectors. However, as new emergent technology, IoT suffers from several security issues which are most challenging than those from other fields regarding its complex environment and resources-constrained IoT devices. A lot of researches have been initiated in order to provide efficient security solutions in IoT, particularly to address resources constraints and scalability issues. Furthermore, some technologies related to networking and cryptocurrency fields such as Software Defined Networking (SDN) and Blockchain are revolutionizing the world of the Internet of Things thanks to their efficiency and scalability. In this paper, we provide a comprehensive top down survey of the most recent proposed security and privacy solutions in IoT. We discuss particularly the benefits that new approaches such as blockchain and Software Defined Networking can bring to the security and the privacy in IoT in terms of flexibility and scalability. Finally, we give a general classification of existing solutions and comparison based on important parameters.

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Section: Attribute Based Encryption (Abe)mentioning

confidence: 99%

Internet of things security: A top-down survey

2018

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“…It has been demonstrated that most classical CP-ABE schemes can hardly fit the smartphone devices and IoT devices such as Intel Edison board and Raspberry Pi [113], [114], [115]. To solve this, the most common approach is to outsource the most consuming operations of ABE to powerful nodes in the network [116], [117]. In case that such powerful nodes are not available, Yao et al [118] proposed a lightweight no-pairing ECC-based ABE scheme to reduce the power consumption.…”

Section: B Encryptionmentioning

confidence: 99%

Privacy in Internet of Things: From Principles to Technologies

Palanisamy

2019

IEEE Internet Things J.

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Ubiquitous deployment of low-cost smart devices and widespread use of high-speed wireless networks have led to the rapid development of the Internet of Things (IoT). IoT embraces countless physical objects that have not been involved in the traditional Internet and enables their interaction and cooperation to provide a wide range of IoT applications. Many services in the IoT may require a comprehensive understanding and analysis of data collected through a large number of physical devices that challenges both personal information privacy and the development of IoT. Information privacy in IoT is a broad and complex concept as its understanding and perception differ among individuals and its enforcement requires efforts from both legislation as well as technologies. In this paper, we review the state-of-the-art principles of privacy laws, the architectures for IoT and the representative privacy enhancing technologies (PETs). We analyze how legal principles can be supported through a careful implementation of privacy enhancing technologies (PETs) at various layers of a layered IoT architecture model to meet the privacy requirements of the individuals interacting with IoT systems. We demonstrate how privacy legislation maps to privacy principles which in turn drives the design of necessary privacy enhancing technologies to be employed in the IoT architecture stack.

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“…The authors of [8] tried to speed up the encryption process by pre-computing and storing tuples. These tuples are later used to define a number of polynomials with some specific properties.…”

Section: B Abe For Resource Constraint Devicesmentioning

confidence: 99%

Using Attribute-Based Encryption on IoT Devices with instant Key Revocation

Fischer

Scheerhorn

Tönjes

2019

2019 IEEE International Conference on Pervasive Computing and Communications Workshops (PerCom Workshops)

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The Internet of Things (IoT) relies on sensor devices to measure real-world phenomena in order to provide IoT services. The sensor readings are shared with multiple entities, such as IoT services, other IoT devices or other third parties. The collected data may be sensitive and include personal information.To protect the privacy of the users, the data needs to be protected through an encryption algorithm. For sharing cryptographic cipher-texts with a group of users Attribute-Based Encryption (ABE) is well suited, as it does not require to create group keys. However, the creation of ABE cipher-texts is slow when executed on resource constraint devices, such as IoT sensors. In this paper, we present a modification of an ABE scheme, which not only allows to encrypt data efficiently using ABE, but also reduces the size of the cipher-text, that must be transmitted by the sensor. We also show how our modification can be used to realise an instantaneous key revocation mechanism.

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Lightweight Attribute-Based Encryption for the Internet of Things

Cited by 55 publications

References 7 publications

Internet of things security: A top-down survey

Internet of things security: A top-down survey

Privacy in Internet of Things: From Principles to Technologies

Using Attribute-Based Encryption on IoT Devices with instant Key Revocation

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