DNA-Based Cryptographic Method for the Internet of Things

2022 ◽  
Vol 12 (1) ◽  
pp. 1-12
Author(s):  
Abdelkader Khobzaoui ◽  
Kadda Benyahia ◽  
Boualem Mansouri ◽  
Sofiane Boukli-Hacene
Keyword(s):  
Internet Of Things ◽  
Data Transfer ◽  
Data Encryption ◽  
Smart Devices ◽  
Raspberry Pi ◽  
Security Issues ◽  
Embedded Platform ◽  
Systems Security ◽  
Early Computer ◽  
Rich Data

Internet of Things (IoT) is a set of connected smart devices providing and sharing rich data in real-time without involving a human being. However, IoT is a security nightmare because like in the early computer systems, security issues are not considered in the design step. Thereby, each IoT system could be susceptible to malicious users and uses. To avoid these types of situations, many approaches and techniques are proposed by both academic and industrial researches.DNA computing is an emerging and relatively new field dealing with data encryption using a DNA computing concepts. This technique allows rapid and secure data transfer between connected objects with low power consumption. In this paper, authors propose a symmetric cryptography method based on DNA. This method consists in cutting the message to encrypt/decrypt in blocks of characters and use a symmetric key extracted from a chromosome for encryption and decryption. Implemented on the embedded platform of a Raspberry Pi, the proposed method shows good performances in terms of robustness, complexity and attack resistance.

scholarly journals COSMOS: Collaborative, Seamless and Adaptive Sentinel for the Internet of Things

Sensors ◽  
2019 ◽  
Vol 19 (7) ◽  
pp. 1492 ◽  
Author(s):  
Pantaleone Nespoli ◽  
David Useche Pelaez ◽  
Daniel Díaz López ◽  
Félix Gómez Mármol
Keyword(s):  
Internet Of Things ◽  
Real World ◽  
Smart Devices ◽  
Raspberry Pi ◽  
The Internet ◽  
Security Issues ◽  
Dynamic Scenario ◽  
Computer Based ◽  
Iot Devices ◽  
The Internet Of Things

The Internet of Things (IoT) became established during the last decade as an emerging technology with considerable potentialities and applicability. Its paradigm of everything connected together penetrated the real world, with smart devices located in several daily appliances. Such intelligent objects are able to communicate autonomously through already existing network infrastructures, thus generating a more concrete integration between real world and computer-based systems. On the downside, the great benefit carried by the IoT paradigm in our life brings simultaneously severe security issues, since the information exchanged among the objects frequently remains unprotected from malicious attackers. The paper at hand proposes COSMOS (Collaborative, Seamless and Adaptive Sentinel for the Internet of Things), a novel sentinel to protect smart environments from cyber threats. Our sentinel shields the IoT devices using multiple defensive rings, resulting in a more accurate and robust protection. Additionally, we discuss the current deployment of the sentinel on a commodity device (i.e., Raspberry Pi). Exhaustive experiments are conducted on the sentinel, demonstrating that it performs meticulously even in heavily stressing conditions. Each defensive layer is tested, reaching a remarkable performance, thus proving the applicability of COSMOS in a distributed and dynamic scenario such as IoT. With the aim of easing the enjoyment of the proposed sentinel, we further developed a friendly and ease-to-use COSMOS App, so that end-users can manage sentinel(s) directly using their own devices (e.g., smartphone).

scholarly journals A Hypergraph-Based Blockchain Model and Application in Internet of Things-Enabled Smart Homes

Sensors ◽  
2018 ◽  
Vol 18 (9) ◽  
pp. 2784 ◽  
Author(s):  
Chao Qu ◽  
Ming Tao ◽  
Ruifen Yuan
Keyword(s):  
Internet Of Things ◽  
Data Storage ◽  
Smart Homes ◽  
Security And Privacy ◽  
Smart Devices ◽  
Security Issues ◽  
Blockchain Technology ◽  
Security Problem ◽  
Fast Development ◽  
Privacy Issues

With the fast development and expansion of the Internet of Things (IoT), billions of smart devices are being continuously connected, and smart homes, as a typical IoT application, are providing people with various convenient applications, but face security and privacy issues. The idea of Blockchain (BC) theory has brought about a potential solution to the IoT security problem. The emergence of blockchain technology has brought about a change of decentralized management, providing an effective solution for the protection of network security and privacy. On the other hand, the smart devices in IoT are always lightweight and have less energy and memory. This makes the application of blockchain difficult. Against this background, this paper proposes a blockchain model based on hypergraphs. The aims of this model are to reduce the storage consumption and to solve the additional security issues. In the model, we use the hyperedge as the organization of storage nodes and convert the entire networked data storage into part network storage. We discuss the design of the model and security strategy in detail, introducing some use cases in a smart home network and evaluating the storage performance of the model through simulation experiments and an evaluation of the network.

Secure Framework for Internet of Things Based e-Health System

2019 ◽  
Vol 10 (4) ◽  
pp. 16-29 ◽  
Author(s):  
Adil Bashir ◽  
Ajaz Hussain Mir
Keyword(s):  
Internet Of Things ◽  
Smart Devices ◽  
Physiological Data ◽  
Electronic Patient Records ◽  
Security Framework ◽  
Security Issues ◽  
Wide Range ◽  
Promising Application ◽  
In Transit ◽  
Secure Transmission

Internet of Things (IoT) is the emerging technology finding applications in a wide range of fields that include smart homes, intelligent transportation, e-health, supply chain management. Among IoT applications, e-health is one of the most promising application in which smart devices capable of monitoring physiological parameters of patients are implanted in or around their bodies which automatically sense and transmit collected data to medical consultants. However, security issues for electronic patient records (EPR) in-transit hinder the usage of IoT in e-health systems. Among these issues, EPR confidentiality and entity authentication are major concerns. In this article, confidentiality of EPR and its secure transmission over network is focused mainly. A security framework is proposed where-in smart devices encrypt sensed physiological data with Light-Weight Encryption Algorithm and Advanced Encryption Standard cryptographic algorithms. The security framework and the designed protocol provides better security and are energy efficient as presented in the evaluation section.

scholarly journals Framework for Secure Routing Towards Identifying and Resisting Complex Malicious Threats in IoT Ecosystem

2019 ◽  
Vol 9 (2) ◽  
pp. 2694-2700
Keyword(s):  
Internet Of Things ◽  
Mobile Computing ◽  
Cost Effective ◽  
Secure Routing ◽  
Smart Devices ◽  
Resource Constrained ◽  
Communication Performance ◽  
Security Issues ◽  
Routing Schemes ◽  
Heterogeneous Devices

Internet-of-Things (IoT) is an inevitable domain of technology that is going to capture the connectivity of the majority of the smart devices in the coming days supported by huge advancement in mobile computing. However, IoT still suffers serious security issues when it comes to performing extensive communication over a broad range of heterogeneous devices. A review of existing secure routing schemes shows that they are complex in operation overlooking the communication performance and resource-constrained factors. Therefore, the proposed system introduces a very novel, simple, and cost-effective, secure routing scheme that is not only capable of identifying the threats without any apriority information of adversary, but they are equally capable of isolating the threats from the connectivity of regular IoT nodes. The simulated outcome of the proposed system shows that it offers a better solution towards security in contrast to existing security approaches frequently exercised in IoT at present

scholarly journals Internet of Things in Marketing: Opportunities and Security Issues

2016 ◽  
Vol 24 (4) ◽  
pp. 217-221 ◽  
Author(s):  
Irakli Abashidze ◽  
Marcin Dąbrowski
Keyword(s):  
Decision Making ◽  
Internet Of Things ◽  
Communication Style ◽  
Smart Devices ◽  
Security Issues ◽  
Work Style ◽  
Purchase Process ◽  
Points Of View ◽  
Marketing Teams ◽  
Technical Considerations

Abstract Internet of Things (IoT) affects different areas of human activities: everyday life of ordinary citizens, work style of marketing teams, factories and even entire cities. Large companies try to implement the technology in their marketing strategy that reshapes not only communication style and product promotion but consumers’ expectations, perceptions and requirements towards companies. IoT is expected to become a huge network that will encompass not only smart devices but significantly influence humans’ behavior, in this particular case - decision making style in different phases of purchase process. Therefore, the need for comprehensive scientific research is necessary. The issue needs to be reviewed from various points of view, such as opportunities, advantages, disadvantages, legal and technical considerations. The paper is an attempt to review different aspects of using Internet of Things for marketing purposes, identify some of the major problems and present possible ways of solution.

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.

scholarly journals Moisture Level Sensor Using Node-Red

2021 ◽  
pp. 406-412
Author(s):  
Maradani Bhuvana Chandra ◽  
Korada Puneeth ◽  
Gaurav Dubey
Keyword(s):  
Operating System ◽  
Internet Of Things ◽  
Web Services ◽  
Data Transfer ◽  
Moisture Level ◽  
Raspberry Pi ◽  
Data Transfer Protocol ◽  
Level Sensor ◽  
Amazon Web Services ◽  
Transfer Protocol

This paper presents the implementation of an Internet of Things (IoT) application that performs the Moisture level sensing through node MCU and Raspberry Pi, and data transfer to the Cloud of the Amazon Web Services or Raspberry Pi. The implementation is done using programming the Node MCU using Embedded C, Raspberry pi is Operated using Raspbian operating system and AWS EC2 Internet of Things platform based on the Node-RED tool installed on the Raspberry Pi and the AWS EC2. The Interconnection of data from the Node MCU to Raspberry Pi is done by MQTT Data Transfer Protocol and Mosquitto Protocol.

scholarly journals Vehicle Security Systems using Face Recognition based on Internet of Things

2020 ◽  
Vol 10 (1) ◽  
pp. 17-29
Author(s):  
Ahmed A. Elngar ◽  
Mohammed Kayed
Keyword(s):  
Face Recognition ◽  
Internet Of Things ◽  
Smart Phone ◽  
Raspberry Pi ◽  
The Internet ◽  
Alarm System ◽  
Biometric Authentication ◽  
Security Systems ◽  
Security Issues ◽  
Vehicle Security

AbstractNowadays, the automobile sector is one of the hottest applications, where vehicles can be intelligent by using IoT technology. But unfortunately, these vehicles suffer from many crimes. Hence it has become a big challenge for the IoT to avoid such these crimes from professional thieves. This paper presents a proposal for the development of a vehicle guard and alarm system using biometric authentication based on IoT technology. Whereas, for vehicle security issues; the proposed system VSS − IoT gives only full access for authorized vehicle’s driver based on the interface of a Raspberry Pi 3 Model B+ development board, Pi camera, PIR sensor, and smart-phone. Therefore, if the proposed system detects an unauthorized person inside the vehicle, then the system will notify and send his image to vehicle’s owner and/or to a police workstation through the Internet, as well as, its location in case the vehicle is stolen or damaged. The proposed system is tested on two datasets that are ORL dataset and our dataset. The experimental results of the VSS − IoT showed that the accuracy is 98.2% on ORL dataset, whereas 99.6% when applied on our dataset. Besides, the VSS − IoT enhances the sensitivity to 97.7% which is important for real-time. As well as the result demonstrated that the proposed system took shorter time 0.152 sec under different illumination conditions, when the value of the threshold is 3 * 103 and 3.50 * 103. Therefore, the VSS − IoT is very robust and reliable for face recognition when deployed on the low-power processor.

scholarly journals Compound Cryptography for Internet of Things Based Industrial Automation

2021 ◽  
Author(s):  
J.S. Prasath
Keyword(s):  
Internet Of Things ◽  
Data Transfer ◽  
Data Encryption ◽  
The Internet ◽  
Monitoring And Control ◽  
Industrial Automation ◽  
Plant Operations ◽  
Process Monitoring And Control ◽  
Security Algorithm ◽  
Secure Monitoring

Internet of things based industrial automation systems are widely used for process monitoring, and control applications. The security threats increase due to the internet is an open environment. This proposed work is the implementation of secure monitoring of plant information through the Supervisory Control and Data Acquisition (SCADA) system. The modified asymmetric and hash algorithm is proposed which generates the large key size of 4096-bit and 512-bit respectively. This proposed security algorithm is implemented using the ARM Cortex A53 processor which performs data encryption and decryption. It provides authentication and integrity of process information across the internet. It achieves a data transfer rate of 300 Megabits per second and more than 95 percent efficiency. This proposed work can be applied for securing the internet-enabled industrial automation process and allows secure monitoring of plant information in remote areas. The security of sensitive process parameters is enhanced through the proposed large key size in asymmetric algorithms. This proposed security algorithm prevents the damage to industrial devices from unauthorized access and modification. It assures the smooth functioning of plant operations and also provides safety to plant operators.

scholarly journals Fog Computing in Medical Internet-of-Things: Architecture, Implementation and Applications

2017 ◽  
Author(s):  
Harishchandra Dubey
Keyword(s):  
Internet Of Things ◽  
Data Storage ◽  
Data Transfer ◽  
Fog Computing ◽  
Speech Disorders ◽  
Security And Privacy ◽  
Physiological Data ◽  
Raspberry Pi ◽  
Cloud Servers

In the era when the market segment of Internet of Things (IoT) tops the chart in various business reports, it is apparently envisioned that the field of medicine expects to gain a large benefit from the explosion of wearables and internet-connected sensors that surround us to acquire and communicate unprecedented data on symptoms, medication, food intake, and daily-life activities impacting one’s health and wellness. However, IoT-driven healthcare would have to overcome many barriers, such as: 1) There is an increasing demand for data storage on cloud servers where the analysis of the medical big data becomes increasingly complex; 2) The data, when communicated, are vulnerable to security and privacy issues; 3) The communication of the continuously collected data is not only costly but also energy hungry; 4) Operating and maintaining the sensors directly from the cloud servers are non-trial tasks.This book chapter defined Fog Computing in the context of medical IoT. Conceptually, Fog Computing is a serviceoriented intermediate layer in IoT, providing the interfaces between the sensors and cloud servers for facilitating connectivity, data transfer, and queryable local database. The centerpiece of Fog computing is a low-power, intelligent, wireless, embedded computing node that carries out signal conditioning and data analytics on raw data collected from wearables or other medical sensors and offers efficient means to serve telehealth interventions. We implemented and tested an fog computing system using the Intel Edison and Raspberry Pi that allows acquisition, computing, storage and communication of the various medical data such as pathological speech data of individuals with speech disorders, Phonocardiogram (PCG) signal for heart rate estimation, and Electrocardiogram (ECG)-based Q, R, S detection. The book chapter ends with experiments and results showing how fog computing could lessen the obstacles of existing cloud-driven medical IoT solutions and enhance the overall performance of the system in terms of computing intelligence, transmission, storage, configurable, and security. The case studies on various types of physiological data shows that the proposed Fog architecture could be used for signal enhancement, processing and analysis of various types of bio-signals.

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