Using symmetric and asymmetric cryptography to secure communication between devices in IoT

Henriques, Michelle S.; Vernekar, Nagaraj

doi:10.1109/iciota.2017.8073643

Cited by 53 publications

(24 citation statements)

References 5 publications

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“…have created several cloud based products that help users monitor various sensors and vehicles used on a farm. These PaaS systems generally run on popular cloud computing platforms like Amazon Web Services, 14 Google Cloud, 15 etc. The way these farming PaaS systems are built using these popular cloud computing platforms also introduce various security challenges in smart farming ecosystem.…”

Section: Cloud Layermentioning

confidence: 99%

“…While cryptography-based solutions prove their effectiveness in securing both intra-layer and inter-layer communications, employing them on constrained IoT devices is a big concern. There are, however, limited attempts to apply lightweight cryptography solutions to a smart farming ecosystem [14]. Additionally, quantum-based cryptography for a secure end to end communication for IoT devices is under active investigation [63] as a futuristic solution.…”

Section: Authentication and Secure Communicationmentioning

confidence: 99%

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Security and Privacy in Smart Farming: Challenges and Opportunities

et al. 2020

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Internet of Things (IoT) and smart computing technologies have revolutionized every sphere of 21 st century humans. IoT technologies and the data driven services they offer were beyond imagination just a decade ago. Now, they surround us and influence a variety of domains such as automobile, smart home, healthcare, etc. In particular, the Agriculture and Farming industries have also embraced this technological intervention. Smart devices are widely used by a range of people from farmers to entrepreneurs. These technologies are used in a variety of ways, from finding real-time status of crops and soil moisture content to deploying drones to assist with tasks such as applying pesticide spray. However, the use of IoT and smart communication technologies introduce a vast exposure to cybersecurity threats and vulnerabilities in smart farming environments. Such cyber attacks have the potential to disrupt the economies of countries that are widely dependent on agriculture. In this paper, we present a holistic study on security and privacy in a smart farming ecosystem. The paper outlines a multi layered architecture relevant to the precision agriculture domain and discusses the security and privacy issues in this dynamic and distributed cyber physical environment. Further more, the paper elaborates on potential cyber attack scenarios and highlights open research challenges and future directions. INDEX TERMS Security, privacy, smart farming, precision agriculture, cloud computing, edge computing, cyber physical systems, IoT, artificial intelligence (AI), machine learning, layered architecture.

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Section: Cloud Layermentioning

confidence: 99%

Section: Authentication and Secure Communicationmentioning

confidence: 99%

Security and Privacy in Smart Farming: Challenges and Opportunities

et al. 2020

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“…The most common strategy adopted when facing the security issue in IoT systems, is the use of symmetric and asymmetric schemes in a mixed fashion, where the authentication processes of the nodes relies on the asymmetric part, and the message exchange is done with symmetric algorithms. These are known to be more efficient if the communication channel is trustable [25]. For asymmetric authentication, usually Elliptic-Curve Cryptography (ECC) is the preferred choice, since the same security level can be achieved with smaller key sizes compared to other alternatives, such as RSA [26].…”

Section: Cookie Node With Enhanced Hardware Securitymentioning

confidence: 99%

A Modular IoT Hardware Platform for Distributed and Secured Extreme Edge Computing

et al. 2020

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The hardware of networked embedded sensor nodes is in continuous evolution, from those 8-bit MCUs-based platforms such as Mica, up to powerful Edge nodes that even include custom hardware devices, such as FPGAs in the Cookies platform. This evolution process comes up with issues related to the deployment of the Internet of Things, particularly in terms of performance and communication bottlenecks. Moreover, the associated integration process from the Edge up to the Cloud layer opens new security concerns that are key to assure the end-to-end trustability and interoperability. This work tackles these questions by proposing a novel embedded Edge platform based on an EFR32 SoC from Silicon Labs with Contiki-NG OS that includes an ARM Cortex M4 MCU and an IEEE 802.15.4 transceiver, used for resource-constrained low-power communication capabilities. This IoT Edge node integrates security by hardware, adding support for confidentiality, integrity and availability, making this Edge node ultra-secure for most of the common attacks in wireless sensor networks. Part of this security relies on an energy-efficient hardware accelerator that handles identity authentication, session key creation and management. Furthermore, the modular hardware platform aims at providing reliability and robustness in low-power distributed sensing application contexts on what is called the Extreme Edge, and for that purpose a lightweight multi-hop routing strategy for supporting dynamic discovery and interaction among participant devices is fully presented. This embedded algorithm has served as the baseline end-to-end communication capability to validate the IoT hardware platform through intensive experimental tests in a real deployment scenario.

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“…An ECC-based signcryption method was introduced in "Henriques and Vernekar [5]", the public values were bound with the public keys so this is also a certificate based approach and it relies on the binding of certificates from a server which is known as the trusted server. In this approach the computational overhead of using certificates is solved but the use of public key encryption is stagnant challenge.…”

Section: ) Pre-shared Mode Pskmentioning

confidence: 99%

Scalable Asymmetric Security Mechanism for Internet of Things

Siddiqa¹,

Ahmed²

2020

IJACSA

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The Internet of things stances rigorous demands on excellence of quality and the vitality of security. It becomes vital to provide an extremely reliable encryption algorithm with less complexity and computational expense in IoT paradigm. Most of the protocols designed in past for communication between sender and the receiver based on asymmetric cryptography algorithms poses high computational cost. Therefore, this paper presents a less complex and more secure and fast encryption algorithm for communication between devices i.e. Asymmetric Scalable Security between sender and the receiver of the information. We present a reliable, secure, scalable and efficient communication protocol that used asymmetric algorithm for securing the exchange of information between sender and the receiver. The proposed communication protocol is lightweight encryption method that does not require complex resources to perform the computations involved for using the asymmetric cryptography. The simulation results also show that the proposed method is efficient in terms of time and space and ensures confidentiality. Therefore, the proposed scheme is beneficial for providing the secure communication for the power and resource constrained IoT devices.

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Using symmetric and asymmetric cryptography to secure communication between devices in IoT

Cited by 53 publications

References 5 publications

Security and Privacy in Smart Farming: Challenges and Opportunities

Security and Privacy in Smart Farming: Challenges and Opportunities

A Modular IoT Hardware Platform for Distributed and Secured Extreme Edge Computing

Scalable Asymmetric Security Mechanism for Internet of Things

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