Fault-Tolerant and Scalable Key Management Protocol for IoT-Based Collaborative Groups

Abdmeziem, Mohammed Riyadh; Charoy, François

doi:10.1007/978-3-319-78816-6_22

Cited by 10 publications

(11 citation statements)

References 33 publications

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“…To evaluate the computation overhead, we simulate the cryptographic operations with Miracle Library. It is a cryptographic library designed for use in constrained environments in terms of computational power [26]. All simulations are implemented on a computer with the following features: an Intel i5-4200 CPU@ 2.5 GH with a physical memory of 8 GB; and Ubuntu 12.04 OS over VMware workstation 15.…”

Section: B Computation Overheadmentioning

confidence: 99%

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Decentralized Lightweight Group Key Management for Dynamic Access Control in IoT Environments

Dammak

Senouci

Messous

et al. 2020

IEEE Trans. Netw. Serv. Manage.

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Rapid growth of Internet of Things (IoT) devices dealing with sensitive data has led to the emergence of new access control technologies in order to maintain this data safe from unauthorized use. In particular, a dynamic IoT environment, characterized by a high signaling overhead caused by subscribers' mobility, presents a significant concern to ensure secure data distribution to legitimate subscribers. Hence, for such dynamic environments, group key management (GKM) represents the fundamental mechanism for managing the dissemination of keys for access control and secure data distribution. However, existing access control schemes based on GKM and dedicated to IoT are mainly based on centralized models, which fail to address the scalability challenge introduced by the massive scale of IoT devices and the increased number of subscribers. Besides, none of the existing GKM schemes supports the independence of the members in the same group. They focus only on dependent symmetric group keys per subgroup communication, which is inefficient for subscribers with a highly dynamic behavior. To deal with these challenges, we introduce a novel Decentralized Lightweight Group Key Management architecture for Access Control in the IoT environment (DLGKM-AC). Based on a hierarchical architecture, composed of one Key Distribution Center (KDC) and several Sub Key Distribution Centers (SKDCs), the proposed scheme enhances the management of subscribers' groups and alleviate the rekeying overhead on the KDC. Moreover, a new master token management protocol for managing keys dissemination across a group of subscribers is introduced. This protocol reduces storage, computation, and communication overheads during join/leave events. The proposed approach accommodates a scalable IoT architecture, which mitigates the single point of failure by reducing the load caused by rekeying at the core network. DLGKM-AC guarantees secure group communication by preventing collusion attacks and ensuring backward/forward secrecy. Simulation results and analysis of the proposed scheme show considerable resource gain in terms of storage, computation, and communication overheads.

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Section: B Computation Overheadmentioning

confidence: 99%

“…Nevertheless, [14] does not ensure communication between multiple groups and it requires large storage and computation resources. Their work was enhanced to decrease the communication overhead by adopting a Distributed Batchbased Group Key [26]. It is based on polynomial cryptography to set up the key for collaborative groups in the IoT environment.…”

mentioning

confidence: 99%

Decentralized Lightweight Group Key Management for Dynamic Access Control in IoT Environments

Dammak

Senouci

Messous

et al. 2020

IEEE Trans. Netw. Serv. Manage.

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“…A very extensive analysis of GKM systems can be found in [ 11 ]. Dammak et al in [ 11 ] analyze the properties of GKM systems due to their applications for: wireless body area networks (WBAN) [ 12 ], wireless sensor networks (WSN) [ 13 , 14 , 15 ], cloud computing [ 16 ], wireless IPv6 networks [ 17 ], and IoT [ 18 , 19 , 20 ]. They compare solutions for individual groups of GKM applications, taking into account many attributes, the most important of which are: key distribution schemes (i.e., centralized, decentralized, distributed [ 21 ]), cryptography type used (symmetric, asymmetric, polynomial, Attribute Based Encryption), forward and backward secrecy (the shared key must be updated when a new node joins the group or some node leaves the group), mutual key independence, existence of single point of failure, and scalability.…”

Section: Related Workmentioning

confidence: 99%

Cryptographic Keys Generating and Renewing System for IoT Network Nodes—A Concept

Furtak

2020

Sensors

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Designers and users of the Internet of Things (IoT) are devoting more and more attention to the issues of security and privacy as well as the integration of data coming from various areas. A critical element of cooperation is building mutual trust and secure data exchange. Because IoT devices usually have small memory resources, limited computing power, and limited energy resources, it is often impossible to effectively use a well-known solution based on the Certification Authority. This article describes the concept of the system for a cryptographic Key Generating and Renewing system (KGR). The concept of the solution is based on the use of the hardware Trusted Platform Module (TPM) v2.0 to support the procedures of creating trust structures, generating keys, protecting stored data, and securing data exchange between system nodes. The main tasks of the system are the secure distribution of a new symmetric key and renewal of an expired key for data exchange parties. The KGR system is especially designed for clusters of the IoT nodes but can also be used by other systems. A service based on the Message Queuing Telemetry Transport (MQTT) protocol will be used to exchange data between nodes of the KGR system.

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“…The application of multicast is mandatory in the IoT field as its application was widely used by numerous healthcare, environmental monitoring, smart cities, and smart homes [8,42]. In secure-key management, a common method was involved to maximize the capacity of transmitted packets encryption or decryption.…”

Section: Overview Of Multicast Ipmentioning

confidence: 99%

“…Here 'n' represents the total number of cluster members. So, this solution was found to be not applicable for dynamic and large groups [20,42]. The fusion of signalling load and rekeying messages between the core network and members introduce the communication overhead.…”

Section: Pairwise Keysmentioning

confidence: 99%

Multicast Communication using Different Group Key Managements

S¹,

Aithal²,

Shetty³

2019

IJRTE

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Abstract: The most appropriate communication mechanism for transfer of packets from one source to another is multicast IPv6 communication. Nowadays, multicast communication plays a major role in a large number of communication applications. In this multicast communication, the message privacy attains a highest position. The members of multicast are dynamic so they permit the host members to enter and depart the cluster without the permission of remaining group members and, it can't provide any transfer without the interference of host, this may reduce the performance. For security enhancement in multicast communication Group Key Management (GKM) was introduced.There are three different approaches in GKM and they were mainly involved to overcome the issues of host mobility in multicast communication. The challenges that are encountered by these GKM approaches their requirements and challenges was also discussed in this paper. Finally, some questions and their explanations were provided along with it. These GKM approaches will improve the privacy of multicast communication. So, the packets can deliver to the group members without any interference.

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Fault-Tolerant and Scalable Key Management Protocol for IoT-Based Collaborative Groups

Cited by 10 publications

References 33 publications

Decentralized Lightweight Group Key Management for Dynamic Access Control in IoT Environments

Decentralized Lightweight Group Key Management for Dynamic Access Control in IoT Environments

Cryptographic Keys Generating and Renewing System for IoT Network Nodes—A Concept

Multicast Communication using Different Group Key Managements

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