IoT Infrastructure Secured by TLS Level Authentication and PKI Identity System

Oniga, Bogdan; Farr, Stefan Harsan; Munteanu, Adrian; Dadarlat, Vasile

doi:10.1109/worlds4.2018.8611563

Cited by 3 publications

(2 citation statements)

References 2 publications

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“…The CAcertificate issuing authority signs these digital certificates which are to be issued to the IoT edge devices for their authentic identity's sake [75]. Certain concrete policies and a set of attributed roles that are to be strictly followed by the interacting entities in a communicating network are defined in a PKI-public key infrastructure [76]. It is responsible for managing such trust developing digital certificates.…”

Section: Iot Devices and Their Mutual-authentication Authorization Tr...mentioning

confidence: 99%

Cyber-physical security for IoT networks: a comprehensive review on traditional, blockchain and artificial intelligence based key-security

Attkan

Ranga

2022

Complex Intell. Syst.

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The recent years have garnered huge attention towards the Internet of Things (IoT) because it enables its consumers to improve their lifestyles and professionally keep up with the technological advancements in the cyber-physical world. The IoT edge devices are heterogeneous in terms of the technology they are built on and the storage file formats used. These devices require highly secure modes of mutual authentication to authenticate each other before actually sending the data. Mutual authentication is a very important aspect of peer-to-peer communication. Secure session keys enable these resource-constrained devices to authenticate each other. After successful authentication, a device can be authorized and can be granted access to shared resources. The need for validating a device requesting data transfer to avoid data privacy breaches that may compromise confidentiality and integrity. Blockchain and artificial intelligence (AI) both are extensively being used as an integrated part of IoT networks for security enhancements. Blockchain provides a decentralized mechanism to store validated session keys that can be allotted to the network devices. Blockchain is also used to load balance the stressing edge devices during low battery levels. AI on the other hand provides better learning and adaptiveness towards IoT attacks. The integration of newer technologies in IoT key management yields enhanced security features. In this article, we systematically survey recent trending technologies from an IoT security point of view and discuss traditional key security mechanisms. This article delivers a comprehensive quality study for researchers on authentication and session keys, integrating IoT with blockchain and AI-based authentication in cybersecurity.

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Section: Iot Devices and Their Mutual-authentication Authorization Tr...mentioning

confidence: 99%

Cyber-physical security for IoT networks: a comprehensive review on traditional, blockchain and artificial intelligence based key-security

Attkan

Ranga

2022

Complex Intell. Syst.

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“…Regardless, using CAs introduces single points of failure since they are centralized. To overcome this, several researchers have developed PKI for IoT networks [70,71,72,73]. For example, in [70] the authors propose three different methods for distributing CAs over a blockchains using Etherium smartcontracts and even the Emercoin infrastructure.…”

Section: Authentication and Identificationmentioning

confidence: 99%

Lightweight Collaborative Anomaly Detection for the IoT using Blockchain

Mirsky¹,

Golomb²,

Elovici³

2020

Preprint

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Due to their rapid growth and deployment, the Internet of things (IoT) have become a central aspect of our daily lives. Unfortunately, IoT devices tend to have many vulnerabilities which can be exploited by an attacker. Unsupervised techniques, such as anomaly detection, can be used to secure these devices in a plug-and-protect manner. However, anomaly detection models must be trained for a long time in order to capture all benign behaviors. Furthermore, the anomaly detection model is vulnerable to adversarial attacks since, during the training phase, all observations are assumed to be benign. In this paper, we propose (1) a novel approach for anomaly detection and (2) a lightweight framework that utilizes the blockchain to ensemble an anomaly detection model in a distributed environment. Blockchain framework incrementally updates a trusted anomaly detection model via self-attestation and consensus among the IoT devices. We evaluate our method on a distributed IoT simulation platform, which consists of 48 Raspberry Pis. The simulation demonstrates how the approach can enhance the security of each device and the security of the network as a whole.

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