scholarly journals Effectiveness of the NIZKP Protocol for Authentication in IoT Environment

2018 ◽  
Vol 7 (2.6) ◽  
pp. 231
Author(s):  
Teyi Yann Cedric Lawson ◽  
Senthilnathan T
Keyword(s):  
Performance Evaluation ◽  
Internet Of Things ◽  
Power Consumption ◽  
Elliptic Curve ◽  
Elliptic Curves ◽  
Credit Card ◽  
Raspberry Pi ◽  
Zero Knowledge ◽  
Iot Devices ◽  
A Performance

Elliptic Curves when compared to other encryptions scheme such as RSA etc., provides an equivalent security, smaller key sizes, less power consumption, faster calculations, less bandwidth used and is more suitable for Internet of Things devices. In addition of encrypting the data, the devices in the network should also be able to authenticate themselves, which can be achieved with the implementation of “Non-Interactive Zero Knowledge protocol” (NIZKP). This protocol involves two parties: The prover and the Verifier. Prover party should prove to the Verifier that they have the knowledge of something, without revealing what is it. In this paper, a study of Schnorr protocol or ∑- protocol over Elliptic Curves is done and the protocol is implemented in Python using the Python Cryptography Toolkit PyCrypto which is a collection of cryptographic modules implementing various algorithms and protocols. Finally, the results were compared with Elliptic Curve Diffie-Hellmann(ECDH) and present a performance evaluation of the protocols on the Raspberry Pi 3B model, a credit-card sized computer used for the development of IoT devices hence the perfect platforms to test the protocol.  

scholarly journals An Optimal Multilevel Encryption Technique for Securing the Data Transmission in IoT

2020 ◽  
Vol 9 (3) ◽  
pp. 1239-1242
Keyword(s):  
Internet Of Things ◽  
Elliptic Curve ◽  
Data Transmission ◽  
Data Security ◽  
Elliptic Curve Cryptography ◽  
Daily Life ◽  
Secret Message ◽  
Critical Component ◽  
Iot Applications ◽  
Iot Devices

Internet of Things(IoT) is playing a pivotal role in our daily life as well as in various fields like Health, agriculture, industries etc. In the go, the data in the various IoT applications will be easily available to the physical dominion and thus the process of ensuringthe security of the data will be a major concern. For the extensive implementation of the numerous applications of IoT , the data security is a critical component. In our work, we have developed an encryption technique to secure the data of IoT. With the help of Merkle-Hellman encryption the data collected from the various IoT devices are first of all encrypted and then the secret message is generated with the help of Elliptic Curve Cryptography.

Towards Autonomous IoT Logistics Objects

2017 ◽  
pp. 210-222
Author(s):  
Bill Karakostas
Keyword(s):  
Internet Of Things ◽  
System Performance ◽  
Credit Card ◽  
Raspberry Pi ◽  
The Internet ◽  
Simulated Environment ◽  
Embedded Knowledge ◽  
New Knowledge ◽  
The Internet Of Things ◽  
Computing Infrastructure

To improve the overall impact of the Internet of Things (IoT), intelligent capabilities must be developed at the edge of the IoT ‘Cloud.' ‘Smart' IoT objects must not only communicate with their environment, but also use embedded knowledge to interpret signals, and by making inferences augment their knowledge of their own state and that of their environment. Thus, intelligent IoT objects must improve their capabilities to make autonomous decisions without reliance to external computing infrastructure. In this chapter, we illustrate the concept of smart autonomous logistic objects with a proof of concept prototype built using an embedded version of the Prolog language, running on a Raspberry Pi credit-card-sized single-board computer to which an RFID reader is attached. The intelligent object is combining the RFID readings from its environment with embedded knowledge to infer new knowledge about its status. We test the system performance in a simulated environment consisting of logistics objects.

scholarly journals Defending Iot from Ddos Using Lightweight Authentication

2018 ◽  
Vol 7 (4.6) ◽  
pp. 388
Author(s):  
G. A. Vani ◽  
M. Metilda Florence
Keyword(s):  
Internet Of Things ◽  
Power Consumption ◽  
Processing Speed ◽  
Experimental Setup ◽  
Light Weight ◽  
Iot Platform ◽  
Iot Devices ◽  
Lightweight Authentication

The emergence of Internet of things (IoT) is due to its   ability to dutifully transfer the data through a network. Now the concern is that security is not considered as main priority while developing the product. IoT is prone to vulnerabilities where Botnet and DDoS kind of attacks are common and a major issue that has to be considered these days. Since IoT is in no way resistive to attacks, this paper is all about proposing a solution for the Distributed Denial of Services attack that happens on IoT platform. Light weight authentication is necessary for any IoT devices because to reduce the power consumption and increase the processing speed of the device [16]. The experimental setup is built on OS named Contiki with cooja simulator that suits to all the devices that are in the IoT environment.   

A Performance Evaluation of Raspberry Pi Zero W Based Gateway Running MQTT Broker for IoT

2019 ◽  
Author(s):  
Diana Bezerra Correia Lima ◽  
Rubens Matheus Brasil da Silva Lima ◽  
Douglas de Farias Medeiros ◽  
Renata Imaculada Soares Pereira ◽  
Cleonilson Protasio de Souza ◽  
...  
Keyword(s):  
Performance Evaluation ◽  
Raspberry Pi ◽  
A Performance

IP Over Radio: A Performance Evaluation for Internet of Things System with Various Data Transmission Technique

2017 ◽  
Vol 23 (6) ◽  
pp. 5581-5583
Author(s):  
Setiyo Budiyanto ◽  
Arissetyanto Nugroho ◽  
Beny Nugraha ◽  
Fadli Sirait
Keyword(s):  
Performance Evaluation ◽  
Internet Of Things ◽  
Data Transmission ◽  
Transmission Technique ◽  
A Performance

scholarly journals Analysis of WebAssembly as a Strategy to Improve JavaScript Performance on IoT Environments

2020 ◽  
Author(s):  
Fernando Oliveira ◽  
Júlio Mattos
Keyword(s):  
Internet Of Things ◽  
Mobile Applications ◽  
Raspberry Pi ◽  
The Internet ◽  
Memory Usage ◽  
C Language ◽  
Server Side ◽  
Benchmark Suite ◽  
Iot Devices ◽  
The Internet Of Things

JavaScript language (JS) has been widely used in recent years applied to browsers-context. Yet JS is being applied to other backgrounds such as server-side programming, mobile applications, games, robotics, and the Internet of Things (IoT). JavaScript is suitable for programming IoT devices due to eventdriven oriented architecture. However, it is an interpreted language, so it has a lower performance than a compiled language. This paper assesses the use of WebAssembly as a strategy to improve the performance of JavaScript applications in the IoT environment. The experiments were performed on a Raspberry Pi using the Ostrich Benchmark Suite. We run the algorithms in JavaScript, WebAssembly, and C language while collecting data about device resource consumption. Our results showed that JavaScript performance could be improved by 39.81% in terms of execution time, a tiny gain in memory usage, and reduced battery consumption by 39.86% when using WebAssembly.

scholarly journals Mitigation of Spoofing Attacks on IOT Home Networks

2019 ◽  
Vol 9 (1S) ◽  
pp. 240-245
Keyword(s):  
Internet Of Things ◽  
Elliptic Curve ◽  
Everyday Life ◽  
Elliptic Curve Cryptography ◽  
Home Networks ◽  
Computational Power ◽  
Authentication Mechanism ◽  
Storage Area ◽  
Iot Devices ◽  
And Storage

internet of things is now everywhere and even if people are aware of it or not, it is part of our everyday life. For something that is so much in pace with our life, iot collects a lot of information about our day today life, which in case of a data leak or hijacking could lead to catastrophic effects in the society. Still iot devices are not manufactured keeping in mind the security factor. This paper dives into the problem of spoofing attacks dealt by iot devices and comes up with an authentication mechanism, which uses variants of elliptic curve cryptography to protect against such said attacks without exhausting the devices in case of computational power and storage area. The experimentation clearly revealed the strength of the scheme to mitigate spoofing attacks on the iot home networks.

scholarly journals A Novel Fog-IoT based Framework for Improving Performance of Cloud Computing

2019 ◽  
Vol 8 (12S) ◽  
pp. 889-895
Keyword(s):  
Cloud Computing ◽  
Internet Of Things ◽  
Secure Communication ◽  
Fog Computing ◽  
Cloud Service ◽  
Raspberry Pi ◽  
New Paradigm ◽  
Privacy And Security ◽  
Security Issues ◽  
Iot Devices

Internet-of-Things (IoT) has been considered as a fundamental part of our day by day existence with billions of IoT devices gathering information remotely and can interoperate within the current Internet framework. Fog computing is nothing but cloud computing to the extreme of network security. It provides computation and storage services via CSP (Cloud Service Provider) to end devices in the Internet of Things (IoT). Fog computing allows the data storing and processing any nearby network devices or nearby cloud endpoint continuum. Using fog computing, the designer can reduce the computation architecture of the IoT devices. Unfortunitily, this new paradigm IoT-Fog faces numerous new privacy and security issues, like authentication and authorization, secure communication, information confidentiality. Despite the fact that the customary cloud-based platform can even utilize heavyweight cryptosystem to upgrade security, it can't be performed on fog devices drectly due to reseource constraints. Additionally, a huge number of smart fog devices are fiercely disseminated and situated in various zones, which expands the danger of being undermined by some pernicious gatherings. Trait Based Encryption (ABE) is an open key encryption conspire that enables clients to scramble and unscramble messages dependent on client qualities, which ensures information classification and hearty information get to control. Be that as it may, its computational expense for encryption and unscrambling stage is straightforwardly corresponding to the multifaceted nature of the arrangements utilized. The points is to assess the planning, CPU burden, and memory burden, and system estimations all through each phase of the cloud-to-things continuum amid an analysis for deciding highlights from a finger tapping exercise for Parkinson's Disease patients. It will be appeared there are confinements to the proposed testbeds when endeavoring to deal with upwards of 35 customers at the same time. These discoveries lead us to a proper conveyance of handling the leaves the Intel NUC as the most suitable fog gadget. While the Intel Edison and Raspberry Pi locate a superior balance at in the edge layer, crossing over correspondence conventions and keeping up a self-mending network topology for "thing" devices in the individual territory organize.

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