LQI-Key: Symmetric Key Generation Scheme for Internet-of-Things (IoT) Devices Using Wireless Channel Link Quality

2018 ◽  
Author(s):  
Nandini Kuruwatti ◽  
Y. N. Nayana ◽  
Nikhita Sarole ◽  
Girish Revadigar ◽  
Chitra Javali
Keyword(s):  
Internet Of Things ◽  
Wireless Channel ◽  
Link Quality ◽  
Key Generation ◽  
Symmetric Key ◽  
Iot Devices

scholarly journals PUF-Based Key Generation Scheme for Secure Group Communication Using MEMS

Electronics ◽  
2021 ◽  
Vol 10 (14) ◽  
pp. 1691
Author(s):  
Mubarak Mehdi ◽  
Muhammad Taha Ajani ◽  
Hasan Tahir ◽  
Shahzaib Tahir ◽  
Zahoor Alizai ◽  
...  
Keyword(s):  
High Speed ◽  
Electronic Devices ◽  
Communication Technologies ◽  
Consumer Electronics ◽  
Security And Privacy ◽  
Key Generation ◽  
Group Setting ◽  
Symmetric Key ◽  
Attack Surface ◽  
Iot Devices

Consumer electronics manufacturers have been incorporating support for 4G/5G communication technologies into many electronic devices. Thus, highly capable Internet of Things (IoT)-ready versions of electronic devices are being purchased which will eventually replace traditional consumer electronics. With the goal of creating a smart environment, the IoT devices enable data sharing, sensing, awareness, increased control. Enabled by high-speed networks, the IoT devices function in a group setting thus compounding the attack surface leading to security and privacy concerns. This research is a study on the possibility of incorporating PUF as a basis for group key generation. The challenge here lies in identifying device features that are unique, stable, reproducible and unpredictable by an adversary. Each device generates its own identity leading to collaborative cryptographic key generation in a group setting. The research uses a comprehensive hardware testbed to demonstrate the viability of PUFs for the generation of a symmetric key through collaboration. Detailed analysis of the proposed setup and the symmetric key generation scheme has shown that the system is scalable and offers unrivalled advantages compared to conventional cryptographic implementations.

scholarly journals PRISEC: Comparison of Symmetric Key Algorithms for IoT Devices

Sensors ◽  
2019 ◽  
Vol 19 (19) ◽  
pp. 4312 ◽  
Author(s):  
Daniel A. F. Saraiva ◽  
Valderi Reis Quietinho Leithardt ◽  
Diandre de Paula ◽  
André Sales Mendes ◽  
Gabriel Villarrubia González ◽  
...  
Keyword(s):  
Internet Of Things ◽  
Power Consumption ◽  
Advanced Encryption Standard ◽  
The Internet ◽  
Secure Communications ◽  
Resource Constrained ◽  
Symmetric Key ◽  
Iot Devices ◽  
Resource Constrained Devices ◽  
Constrained Devices

With the growing number of heterogeneous resource-constrained devices connected to the Internet, it becomes increasingly challenging to secure the privacy and protection of data. Strong but efficient cryptography solutions must be employed to deal with this problem, along with methods to standardize secure communications between these devices. The PRISEC module of the UbiPri middleware has this goal. In this work, we present the performance of the AES (Advanced Encryption Standard), RC6 (Rivest Cipher 6), Twofish, SPECK128, LEA, and ChaCha20-Poly1305 algorithms in Internet of Things (IoT) devices, measuring their execution times, throughput, and power consumption, with the main goal of determining which symmetric key ciphers are best to be applied in PRISEC. We verify that ChaCha20-Poly1305 is a very good option for resource constrained devices, along with the lightweight block ciphers SPECK128 and LEA.

Enhancing Security in Internet of Things Environment by Developing an Authentication Mechanism using COAP Protocol

2021 ◽  
Author(s):  
Samah Mohammed S ALhusayni ◽  
Wael Ali Alosaimi
Keyword(s):  
Internet Of Things ◽  
Information Assurance ◽  
Daily Activities ◽  
Authentication Mechanism ◽  
Internet Of Things Environment ◽  
Symmetric Key ◽  
Iot Devices ◽  
Secure Authentication ◽  
Biometric Features

Internet of Things (IoT) has a huge attention recently due to its new emergence, benefits, and contribution to improving the quality of human lives. Securing IoT poses an open area of research, as it is the base of allowing people to use the technology and embrace this development in their daily activities. Authentication is one of the influencing security element of Information Assurance (IA), which includes confidentiality, integrity, and availability, non repudiation, and authentication. Therefore, there is a need to enhance security in the current authentication mechanisms. In this report, some of the authentication mechanisms proposed in recent years have been presented and reviewed. Specifically, the study focuses on enhancement of security in CoAP protocol due to its relevance to the characteristics of IoT devices and its need to enhance its security by using the symmetric key with biometric features in the authentication. This study will help in providing secure authentication technology for IoT data, device, and users.

scholarly journals Just Shake Them Together: Imitation-Resistant Secure Pairing of Smart Devices via Shaking

2021 ◽  
Vol 2021 ◽  
pp. 1-15
Author(s):  
Congcong Shi ◽  
Lei Xie ◽  
Chuyu Wang ◽  
Peicheng Yang ◽  
Yubo Song ◽  
...  
Keyword(s):  
Experimental Study ◽  
Wireless Channel ◽  
Identity Authentication ◽  
Experimental Results ◽  
Smart Devices ◽  
Generation Process ◽  
Key Generation ◽  
Multiple Sensors ◽  
Symmetric Key ◽  
Robust To Noise

In traditional device-to-device (D2D) communication based on wireless channel, identity authentication and spontaneous secure connections between smart devices are essential requirements. In this paper, we propose an imitation-resistant secure pairing framework including authentication and key generation for smart devices, by shaking these devices together. Based on the data collected by multiple sensors of smart devices, these devices can authenticate each other and generate a unique and consistent symmetric key only when they are shaken together. We have conducted comprehensive experimental study on shaking various devices. Based on this study, we have listed several novel observations and extracted important clues for key generation. We propose a series of innovative technologies to generate highly unique and completely randomized symmetric keys among these devices, and the generation process is robust to noise and protects privacy. Our experimental results show that our system can accurately and efficiently generate keys and authenticate each other.

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.

Cryptanalysis of a novel bitwise XOR rotational algorithm and security for IoT devices

2021 ◽  
Vol 25 (1) ◽  
pp. 139-147
Author(s):  
Seema Nath ◽  
Subhranil Som ◽  
Mukesh Chandra Negi
Keyword(s):  
Computational Complexity ◽  
Internet Of Things ◽  
Advanced Encryption Standard ◽  
The Internet ◽  
Key Generation ◽  
Standard Algorithm ◽  
Multiple Devices ◽  
Iot Devices ◽  
The Internet Of Things

The internet of things (IoT) is a multiple devices, which connects with the internet for communication, in order to obtain the updated from the cloud. The fog can act as a controller and it is located between the IoT devices and cloud. The major attacks like de-synchronization, and disclosure has arises in the devices, this has been prevented. The major contribution in this work is key generation and authentication, for key generation the “advanced encryption standard algorithm” is developed, in which the new and old keys are generated. The encryption is done under the source side, and decryption is done under the device side. The fog security is maintained through “device tag, and bit wise XOR rotational algorithm”. The security, and the computational complexity is defined in this work and it is given in table format. The implementations are carried out in the MATLAB R2016 a. The proposed algorithm is compared with the existing protocols like LMAP, M2AP, EMAP, SASI, and RAPP, from the comparison the proposed methodology makes the better knowledge about the security and prevents from various attacks.

Bringing Security to The Smallest Embedded Systems

2017 ◽  
Author(s):  
JOSEPH YIU
Keyword(s):  
Internet Of Things ◽  
Embedded Systems ◽  
Low Cost ◽  
Security Requirements ◽  
The Internet ◽  
Security Measures ◽  
Significant Challenge ◽  
Iot Devices

The increasing need for security in microcontrollers Security has long been a significant challenge in microcontroller applications(MCUs). Traditionally, many microcontroller systems did not have strong security measures against remote attacks as most of them are not connected to the Internet, and many microcontrollers are deemed to be cheap and simple. With the growth of IoT (Internet of Things), security in low cost microcontrollers moved toward the spotlight and the security requirements of these IoT devices are now just as critical as high-end systems due to:

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.

scholarly journals Internet of things issues related to psychiatry

2021 ◽  
Vol 9 (1) ◽  
Author(s):  
Scott Monteith ◽  
Tasha Glenn ◽  
John Geddes ◽  
Emanuel Severus ◽  
Peter C. Whybrow ◽  
...  
Keyword(s):  
Internet Of Things ◽  
Cognitive Abilities ◽  
Healthcare Providers ◽  
Emotional Reactions ◽  
The Body ◽  
Psychiatric Research ◽  
Main Body ◽  
Personal Safety ◽  
Healthcare Organizations ◽  
Iot Devices

Abstract Background Internet of Things (IoT) devices for remote monitoring, diagnosis, and treatment are widely viewed as an important future direction for medicine, including for bipolar disorder and other mental illness. The number of smart, connected devices is expanding rapidly. IoT devices are being introduced in all aspects of everyday life, including devices in the home and wearables on the body. IoT devices are increasingly used in psychiatric research, and in the future may help to detect emotional reactions, mood states, stress, and cognitive abilities. This narrative review discusses some of the important fundamental issues related to the rapid growth of IoT devices. Main body Articles were searched between December 2019 and February 2020. Topics discussed include background on the growth of IoT, the security, safety and privacy issues related to IoT devices, and the new roles in the IoT economy for manufacturers, patients, and healthcare organizations. Conclusions The use of IoT devices will increase throughout psychiatry. The scale, complexity and passive nature of data collection with IoT devices presents unique challenges related to security, privacy and personal safety. While the IoT offers many potential benefits, there are risks associated with IoT devices, and from the connectivity between patients, healthcare providers, and device makers. Security, privacy and personal safety issues related to IoT devices are changing the roles of manufacturers, patients, physicians and healthcare IT organizations. Effective and safe use of IoT devices in psychiatry requires an understanding of these changes.

scholarly journals An efficient pruning scheme of deep neural networks for Internet of Things applications

2021 ◽  
Vol 2021 (1) ◽  
Author(s):  
Chen Qi ◽  
Shibo Shen ◽  
Rongpeng Li ◽  
Zhifeng Zhao ◽  
Qing Liu ◽  
...  
Keyword(s):  
Neural Network ◽  
Neural Networks ◽  
Internet Of Things ◽  
Deep Neural Networks ◽  
Computational Cost ◽  
Superior Performance ◽  
Compact Structure ◽  
Resource Limited ◽  
Benchmark Datasets ◽  
Iot Devices

AbstractNowadays, deep neural networks (DNNs) have been rapidly deployed to realize a number of functionalities like sensing, imaging, classification, recognition, etc. However, the computational-intensive requirement of DNNs makes it difficult to be applicable for resource-limited Internet of Things (IoT) devices. In this paper, we propose a novel pruning-based paradigm that aims to reduce the computational cost of DNNs, by uncovering a more compact structure and learning the effective weights therein, on the basis of not compromising the expressive capability of DNNs. In particular, our algorithm can achieve efficient end-to-end training that transfers a redundant neural network to a compact one with a specifically targeted compression rate directly. We comprehensively evaluate our approach on various representative benchmark datasets and compared with typical advanced convolutional neural network (CNN) architectures. The experimental results verify the superior performance and robust effectiveness of our scheme. For example, when pruning VGG on CIFAR-10, our proposed scheme is able to significantly reduce its FLOPs (floating-point operations) and number of parameters with a proportion of 76.2% and 94.1%, respectively, while still maintaining a satisfactory accuracy. To sum up, our scheme could facilitate the integration of DNNs into the common machine-learning-based IoT framework and establish distributed training of neural networks in both cloud and edge.

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