FLAT: Federated lightweight authentication for the Internet of Things

Santos, Maria L. B. A.; Carneiro, Jéssica C.; Franco, Antonio Mula; Teixeira, Fernando A.; Henriques, Marco Aurélio Amaral; Oliveira, Leonardo B.

doi:10.1016/j.adhoc.2020.102253

Cited by 17 publications

(16 citation statements)

References 35 publications

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“…In addition, authentication, data privacy and integrity must be ensured and data must be transmitted encrypted on the internet. Therefore, the implicit certificate-based FLAT method is used for authentication and data privacy in the proposed model (Santos et al, 2020). Data integrity is ensured and flooding attacks are detected with block chain based SDN controller.…”

Section: Security Of the Proposed Modelmentioning

confidence: 99%

“…Federated Lightweight Authentication of Things is used in the proposed model for authentication and privacy. FLAT is the adaptation of Federated Identity Management (FIdM), the cloud authentication system, to fog computing (Santos et al, 2020).…”

Section: Data Privacy and Authenticationmentioning

confidence: 99%

“…According to Fig. 8 (Santos et al, 2020); when the resource-constrained client device wants to access the service, it requests a session key from the IdP (in 1). IdP transmits the session key to the client (in 2).…”

Section: Data Privacy and Authenticationmentioning

confidence: 99%

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A novel IoT-based health and tactical analysis model with fog computing

Karakaya

Akleylek

2021

PeerJ Computer Science

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In sports competitions, depending on the conditions such as excitement, stress, fatigue, etc. during the match, negative situations such as disability or loss of life may occur for players and spectators. Therefore, it is extremely important to constantly check their health. In addition, some strategic analyzes are made during the match. According to the results of these analyzes, the technical team affects the course of the match. Effects can have positive and sometimes negative results. In this article, fog computing and an Internet of Things (IoT) based architecture are proposed to produce new technical strategies and to avoid disabilities. Players and spectators are monitored with sensors such as blood pressure, body temperature, heart rate, location etc. The data obtained from the sensors are processed in the fog layer and the resulting information is sent to the devices of the technical team and club doctors. In the architecture based on fog computing and IoT, priority processes are computed with low latency. For this, a task management algorithm based on priority queue and list of fog nodes is modified in the fog layer. Authentication and data confidentiality are provided with the Federated Lightweight Authentication of Things (FLAT) method used in the proposed model. In addition, using the Software Defined Network controller based on blockchain technology ensures data integrity.

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Section: Security Of the Proposed Modelmentioning

confidence: 99%

Section: Data Privacy and Authenticationmentioning

confidence: 99%

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A novel IoT-based health and tactical analysis model with fog computing

Karakaya

Akleylek

2021

PeerJ Computer Science

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“…However, in this approach, the authors do not present any consent mechanism for users and devices. • A Federated Lightweight Authentication Protocol for the Internet of Things: Santos et al [103] propose a federated identity authentication protocol for IoT. This work argues that current federated IAMs are mostly ill-suited for IoT devices since most of them are build upon the login/password and have weighty protocols.…”

Section: Federated Iamsmentioning

confidence: 99%

Survey on Identity and Access Management for Internet of Things

Cremonezi

Vieira

Nacif

et al. 2020

Preprint

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The Internet of Things (IoT) encompasses a large number of connected devices, generating and sharing diﬀerent types of data among themselves. These data enable the creation of society-changing applications, such as health monitoring and autonomous vehicles. Under this context, protecting the access of these connected devices and their data is critical to IoT applications’ success, since a single data breach can incur into a cascade eﬀect, which leads to devastating consequences. Identity and Access Management (IAM) systems provide mechanisms to identify individuals at the network and determine their access privileges, thus avoiding inappropriate access. However, the current IAMs system struggles to provide the scale or manage the complex relationships that IoT brings. In this work, we present a comprehensive state-of-the-art survey of IAMs and the main concepts and challenges when applied to IoT. First, we overview the IoT technology, giving its essential characteristics and communication architectures and its main applications. Then, we present IAMs state-of-the-art and the main concepts, existing architectures, and challenges. Finally, we focus on current IAMs that aims to tackle the IoT complexity, along with an in-depth analysis of their proposals and future directions in the ﬁeld.

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“…Santos et al [31] designed a "federated identity management (FIdM)" system in order to assist in improving privacy and user authentication in the IoT deployment, where an IoT device accesses services from a service provider. Their approach was lightweight as it required low computational cost due to symmetric cryptographic operations.…”

Section: Related Workmentioning

confidence: 99%

LDAKM-EIoT: Lightweight Device Authentication and Key Management Mechanism for Edge-Based IoT Deployment

Wazid

Das

Shetty

et al. 2019

Sensors

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In recent years, edge computing has emerged as a new concept in the computing paradigm that empowers several future technologies, such as 5G, vehicle-to-vehicle communications, and the Internet of Things (IoT), by providing cloud computing facilities, as well as services to the end users. However, open communication among the entities in an edge based IoT environment makes it vulnerable to various potential attacks that are executed by an adversary. Device authentication is one of the prominent techniques in security that permits an IoT device to authenticate mutually with a cloud server with the help of an edge node. If authentication is successful, they establish a session key between them for secure communication. To achieve this goal, a novel device authentication and key management mechanism for the edge based IoT environment, called the lightweight authentication and key management scheme for the edge based IoT environment (LDAKM-EIoT), was designed. The detailed security analysis and formal security verification conducted by the widely used “Automated Validation of Internet Security Protocols and Applications (AVISPA)” tool prove that the proposed LDAKM-EIoT is secure against several attack vectors that exist in the infrastructure of the edge based IoT environment. The elaborated comparative analysis of the proposed LDAKM-EIoT and different closely related schemes provides evidence that LDAKM-EIoT is more secure with less communication and computation costs. Finally, the network performance parameters are calculated and analyzed using the NS2 simulation to demonstrate the practical facets of the proposed LDAKM-EIoT.

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FLAT: Federated lightweight authentication for the Internet of Things

Cited by 17 publications

References 35 publications

A novel IoT-based health and tactical analysis model with fog computing

A novel IoT-based health and tactical analysis model with fog computing

Survey on Identity and Access Management for Internet of Things

LDAKM-EIoT: Lightweight Device Authentication and Key Management Mechanism for Edge-Based IoT Deployment

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