scholarly journals I2PA: An Efficient ABC for IoT

Cryptography ◽  
2019 ◽  
Vol 3 (2) ◽  
pp. 16 ◽  
Author(s):  
Ibou Sene ◽  
Abdoul Aziz Ciss ◽  
Oumar Niang
Keyword(s):  
Elliptic Curve Cryptography ◽  
Privacy Preservation ◽  
Storage Capacity ◽  
Computing Time ◽  
Low Energy ◽  
Lightweight Cryptography ◽  
Computing Power ◽  
Iot Devices ◽  
Selective Disclosure ◽  
The Internet Of Things

The Internet of Things (IoT) is very attractive because of its promises. However, it brings many challenges, mainly issues about privacy preservation and lightweight cryptography. Many schemes have been designed so far but none of them simultaneously takes into account these aspects. In this paper, we propose an efficient attribute-based credential scheme for IoT devices. We use elliptic curve cryptography without pairing, blind signing, and zero-knowledge proof. Our scheme supports block signing, selective disclosure, and randomization. It provides data minimization and transaction unlinkability. Our construction is efficient since smaller key size can be used, and computing time can be reduced. As a result, it is a suitable solution for IoT devices characterized by three major constraints, namely low-energy power, small storage capacity, and low computing power.

scholarly journals Transparent CoAP Services to IoT Endpoints through ICN Operator Networks

Sensors ◽  
2019 ◽  
Vol 19 (6) ◽  
pp. 1339 ◽  
Author(s):  
Hasan Islam ◽  
Dmitrij Lagutin ◽  
Antti Ylä-Jääski ◽  
Nikos Fotiou ◽  
Andrei Gurtov
Keyword(s):  
Storage Capacity ◽  
Communication Overhead ◽  
Full Potential ◽  
Core Network ◽  
Computation Complexity ◽  
State Management ◽  
Iot Devices ◽  
Novel Applications ◽  
And Storage ◽  
The Internet Of Things

The Constrained Application Protocol (CoAP) is a specialized web transfer protocol which is intended to be used for constrained networks and devices. CoAP and its extensions (e.g., CoAP observe and group communication) provide the potential for developing novel applications in the Internet-of-Things (IoT). However, a full-fledged CoAP-based application may require significant computing capability, power, and storage capacity in IoT devices. To address these challenges, we present the design, implementation, and experimentation with the CoAP handler which provides transparent CoAP services through the ICN core network. In addition, we demonstrate how the CoAP traffic over an ICN network can unleash the full potential of the CoAP, shifting both overhead and complexity from the (constrained) endpoints to the ICN network. The experiments prove that the CoAP Handler helps to decrease the required computation complexity, communication overhead, and state management of the CoAP server.

Encryption Principles and Techniques for the Internet of Things

2019 ◽  
pp. 42-66
Author(s):  
Kundankumar Rameshwar Saraf ◽  
Malathi P. Jesudason
Keyword(s):  
Internet Of Things ◽  
Embedded System ◽  
Security Analysis ◽  
Block Size ◽  
The Internet ◽  
Lightweight Cryptography ◽  
Execution Speed ◽  
Security Algorithm ◽  
Iot Devices ◽  
The Internet Of Things

This chapter explores the encryption techniques used for the internet of things (IoT). The security algorithm used for IoT should follow many constraints of an embedded system. Hence, lightweight cryptography is an optimum security solution for IoT devices. This chapter mainly describes the need for security in IoT, the concept of lightweight cryptography, and various cryptographic algorithms along with their shortcomings given IoT. This chapter also describes the principle of operation of all the above algorithms along with their security analysis. Moreover, based on the algorithm size (i.e., the required number of gate equivalent, block size, key size, throughput, and execution speed of the algorithm), the chapter reports the comparative analysis of their performance. The chapter discusses the merits and demerits of these algorithms along with their use in the IoT system.

scholarly journals A lightweight secure CoAP for IoT-cloud paradigm using Elliptic-curve cryptography

2020 ◽  
Vol 20 (3) ◽  
pp. 1460
Author(s):  
Amrani Ayoub ◽  
Rafalia Najat ◽  
Abouchabaka Jaafar
Keyword(s):  
Cloud Computing ◽  
Elliptic Curve ◽  
Elliptic Curve Cryptography ◽  
Mutual Authentication ◽  
Future Internet ◽  
New Paradigm ◽  
The Future ◽  
Secure Data Transmission ◽  
Iot Devices ◽  
The Internet Of Things

<span>Cloud Computing and the Internet of Things (IoT), two different technologies, are already part of our lives. Their impressive adoption increasing more and more, which makes them the future of the future internet. The tsunami of interconnectivity between objects and data collection is increasingly based on Cloud Computing, where data analysis and intelligence really reside. A new paradigm where the Cloud and the IoT are merged will create a new air in the world of technology, which can offer many services and applications useful to humanity. However, despite the great benefits that can bring this technology in term of new services, elasticity and flexibility, the security aspect still remains a serious constraint which hampers the expansion of this technology. This paper proposes a lightweight Mutual authentication protocol based on Constrained Application Protocol (CoAP); that is suitable for IoT devices than HTTP and using elliptic curve cryptography to secure data transmission between the Cloud and devices. We used the AVISPA tool to verify our proposed scheme.</span>

scholarly journals Lightweight Cryptography Algorithms for IOT Devices

2021 ◽  
Vol 9 (VI) ◽  
pp. 1678-1683
Author(s):  
Vasireddy Vennela
Keyword(s):  
Internet Of Things ◽  
Advanced Encryption Standard ◽  
The Internet ◽  
Symmetric Encryption ◽  
Lightweight Cryptography ◽  
Limited Energy ◽  
Sophisticated Method ◽  
Computationally Expensive ◽  
Iot Devices ◽  
The Internet Of Things

Lightweight cryptography is a new concept for securing data more effectively while using fewer resources and providing greater throughput, conservatism, and low battery consumption. Every fraction second, the Internet of Things (IoT), which connects billions of objects, generates massive amounts of data. As the number of devices grows, so does the amount of data generated, and the security of that data becomes a concern. In IoT architecture, gadgets are essentially smaller and low-powered. Because of their complexity, traditional encryption methods are computationally expensive and take many rounds to encrypt, basically wasting the limited energy of IoT devices. However, a less sophisticated method may jeopardise the intended fidelity. There are various lightweight cryptography techniques available, and we choose one of the symmetric encryption techniques known as Advanced Encryption Standard (AES). The speed of this algorithm is six times that of triple DES.

scholarly journals CoopECC: A Collaborative Cryptographic Mechanism for the Internet of Things

2021 ◽  
Vol 2021 ◽  
pp. 1-8
Author(s):  
Wassim Jerbi ◽  
Abderrahmen Guermazi ◽  
Omar Cheikhrouhou ◽  
Hafedh Trabelsi
Keyword(s):  
Cluster Head ◽  
Computation Time ◽  
Cryptographic Protocol ◽  
Computing Power ◽  
Security Issues ◽  
Iot Applications ◽  
Iot Devices ◽  
Power And Energy ◽  
The Internet Of Things ◽  
Constrained Devices

The emergence of IoT applications has risen the security issues of the big data sent by the IoT devices. The design of lightweight cryptographic algorithms becomes a necessity. Moreover, elliptic curve cryptography (ECC) is a promising cryptographic technology that has been used in IoT. However, connected objects are resource-constrained devices, with limited computing power and energy power. Driven by these motivations, we propose and develop a secure cryptographic protocol called CoopECC which leverages the organization of IoT nodes into cluster to distribute the load of cluster head (CH) among its cluster members. This technique proves that it optimizes the resource consumption of the IoT nodes including computation and energy consumption. Performance evaluation, done with TOSSIM simulator, shows that the proposed protocol CoopECC outperforms the original ECC algorithm, in terms of computation time, consumed energy, and the network’s lifespan.

scholarly journals An Efficient Key Generation for the Internet of Things Based Synchronized Quantization

Sensors ◽  
2019 ◽  
Vol 19 (12) ◽  
pp. 2674 ◽  
Author(s):  
Mike Yuliana ◽  
Wirawan ◽  
Suwadi
Keyword(s):  
Internet Of Things ◽  
Computing Time ◽  
The Internet ◽  
Communication Overhead ◽  
Key Generation ◽  
Test Results ◽  
Channel Characteristics ◽  
Measurement Results ◽  
Iot Devices ◽  
The Internet Of Things

One solution to ensure secrecy in the Internet of Things (IoT) is cryptography. However, classical cryptographic systems require high computational complexity that is not appropriate for IoT devices with restricted computing resources, energy, and memory. Physical layer security that utilizes channel characteristics is an often used solution because it is simpler and more efficient than classical cryptographic systems. In this paper, we propose a signal strength exchange (SSE) system as an efficient key generation system and a synchronized quantization (SQ) method as a part of the SSE system that synchronizes data blocks in the quantization phase. The SQ method eliminates the signal pre-processing phase by performing a multi-bit conversion directly from the channel characteristics of the measurement results. Synchronization is carried out between the two authorized nodes to ensure sameness of the produced keys so it can eliminate the error-correcting phase. The test results at the IoT devices equipped with IEEE 802.11 radio show that SSE system is more efficient in terms of computing time and communication overhead than existing systems.

scholarly journals A Fog Computing-based Framework for Privacy Preserving IoT Environments

2020 ◽  
Vol 17 (3) ◽  
pp. 306-315
Author(s):  
Dhiah el Diehn Abou-Tair ◽  
Simon Büchsenstein ◽  
Ala’ Khalifeh
Keyword(s):  
Cloud Computing ◽  
Storage Capacity ◽  
Fog Computing ◽  
Security Analysis ◽  
Vital Signs ◽  
Privacy Preserving ◽  
Security And Privacy ◽  
Computing Power ◽  
Privacy Threats ◽  
Iot Devices

Privacy is becoming an indispensable component in the emerging Internet of Things (IoT) context. However, the IoT based devices and tools are exposed to several security and privacy threats, especially that these devices are mainly used to gather data about users’ habits, vital signs, surround environment, etc., which makes them a lucrative target to intruders. Up to date, conventional security and privacy mechanisms are not well optimized for IoT devices due to their limited energy, storage capacity, communication functionality and computing power, which influenced researchers to propose new solutions and algorithms to handle these limitations. Fog and cloud computing have been recently integrated in IoT environment to solve their resources’ limitations, thus facilitating new life scenarios-oriented applications. In this paper, a security and privacy preserving framework is proposed, which utilizes Fog and cloud computing in conjunction with IoT devices that aims at securing the users’ data and protecting their privacy. The framework has been implemented and tested using available technologies. Furthermore, a security analysis has been verified by simulating several hypothetical attack scenarios, which showed the effectiveness of the proposed framework and its capability of protecting the users’ information.

scholarly journals Applications of big data and communications to sustainable development of smart cities

2021 ◽  
Vol 2094 (3) ◽  
pp. 032052
Author(s):  
A V Gayer ◽  
Y S Chernyshova ◽  
I B Mamai
Keyword(s):  
Classification Accuracy ◽  
Smart Cities ◽  
Parametric Representation ◽  
Computing Power ◽  
Technical Systems ◽  
Iot Devices ◽  
Optimality Principles ◽  
Detection And Localization ◽  
The City ◽  
The Internet Of Things

Abstract The formation of a smart city is a dynamic process that involves the implementation of systemic steps that transform the city into a comfortable environment for living. Smart cities are evolving on the basis of a flexible telecommunications architecture for IoT devices. Existing sustainability technologies require a large amount of computing power to process IoT data. For effective detection and localization of dysfunctions of complex socio-technical systems of smart cities, it is proposed to use an approach based on a parametric representation of objects of interest. In order to eliminate the influence of the variability of the Internet of Things on the classification accuracy, it is proposed to use a combination of optimality principles, taking into account the parameters of energy consumption, processor and memory usage.

scholarly journals Lightweight Cryptography for the Encryption of Data Communication of IoT Devices

Electronics ◽  
2021 ◽  
Vol 10 (21) ◽  
pp. 2567
Author(s):  
Ivan Sokol ◽  
Peter Hubinský ◽  
Ľuboš Chovanec
Keyword(s):  
Data Transmission ◽  
Data Communication ◽  
Communication Channels ◽  
The Internet ◽  
Cryptographic Protocol ◽  
Focus Attention ◽  
Lightweight Cryptography ◽  
Device Management ◽  
Iot Devices ◽  
The Internet Of Things

We are at the beginning of the age of the Internet of things. Soon, we will be surrounded by smart homes, cities, and infrastructure. To achieve this vision, millions of devices will have to be able to communicate with each other. The demands for communication channels will increase significantly. An increasing amount of data will be transmitted with a requirement of minimal delay. The capacities of transmission systems can be quickly depleted. Building new communication channels is very time consuming but also financially demanding. To maximize existing infrastructure, we should pay attention today to the issue of transmitted data. One of the ways is to focus attention on reducing the volume of transmitted data. In this paper, we present a method of reducing the volume of data transmission between a server and an IoT device, focusing on the bandwidth, transmission security, and system resources of the IoT device. The required reduction is achieved by data compression and replacing the SSL/TLS cryptographic protocol with lightweight cryptography based on the Vernam cipher principle. The original SSL/TLS protocol is still used for device management needs only.

Agricultural Application of Web of Things Architecture

Impact ◽  
2019 ◽  
Vol 2019 (10) ◽  
pp. 61-63 ◽  
Author(s):  
Akihiro Fujii
Keyword(s):  
Internet Of Things ◽  
Agricultural Sector ◽  
Electronic Device ◽  
Specific Work ◽  
Science And Engineering ◽  
Unique Identifier ◽  
Agricultural Application ◽  
Iot Devices ◽  
The Internet Of Things ◽  
Type Pressure

The Internet of Things (IoT) is a term that describes a system of computing devices, digital machines, objects, animals or people that are interrelated. Each of the interrelated 'things' are given a unique identifier and the ability to transfer data over a network that does not require human-to-human or human-to-computer interaction. Examples of IoT in practice include a human with a heart monitor implant, an animal with a biochip transponder (an electronic device inserted under the skin that gives the animal a unique identification number) and a car that has built-in sensors which can alert the driver about any problems, such as when the type pressure is low. The concept of a network of devices was established as early as 1982, although the term 'Internet of Things' was almost certainly first coined by Kevin Ashton in 1999. Since then, IoT devices have become ubiquitous, certainly in some parts of the world. Although there have been significant developments in the technology associated with IoT, the concept is far from being fully realised. Indeed, the potential for the reach of IoT extends to areas which some would find surprising. Researchers at the Faculty of Science and Engineering, Hosei University in Japan, are exploring using IoT in the agricultural sector, with some specific work on the production of melons. For the advancement of IoT in agriculture, difficult and important issues are implementation of subtle activities into computers procedure. The researchers challenges are going on.

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