scholarly journals Energy-Efficient Word-Serial Processor for Field Multiplication and Squaring Suitable for Lightweight Authentication Schemes in RFID-Based IoT Applications

2021 ◽  
Vol 11 (15) ◽  
pp. 6938
Author(s):  
Atef Ibrahim ◽  
Fayez Gebali
Keyword(s):  
Radio Frequency Identification ◽  
Large Scale ◽  
Low Cost ◽  
Security And Privacy ◽  
Field Size ◽  
Iot Applications ◽  
Serial Processor ◽  
Authentication Schemes ◽  
Field Multiplication ◽  
Lightweight Authentication

Radio-Frequency Identification (RFID) technology is a crucial technology used in many IoT applications such as healthcare, asset tracking, logistics, supply chain management, assembly, manufacturing, and payment systems. Nonetheless, RFID-based IoT applications have many security and privacy issues restricting their use on a large scale. Many authors have proposed lightweight RFID authentication schemes based on Elliptic Curve Cryptography (ECC) with a low-cost implementation to solve these issues. Finite-field multiplication are at the heart of these schemes, and their implementation significantly affects the system’s overall performance. This article presents a formal methodology for developing a word-based serial-in/serial-out semisystolic processor that shares hardware resources for multiplication and squaring operations in GF(2n). The processor concurrently executes both operations and hence reduces the execution time. Furthermore, sharing the hardware resources provides savings in the area and consumed energy. The acquired implementation results for the field size n=409 indicate that the proposed structure achieves a significant reduction in the area–time product and consumed energy over the previously published designs by at least 32.3% and 70%, respectively. The achieved results make the proposed design more suitable to realize cryptographic primitives in resource-constrained RFID devices.

scholarly journals A Novel Lightweight Authentication Scheme for RFID-Based Healthcare Systems

Sensors ◽  
2020 ◽  
Vol 20 (17) ◽  
pp. 4846
Author(s):  
Feng Zhu ◽  
Peng Li ◽  
He Xu ◽  
Ruchuan Wang
Keyword(s):  
Radio Frequency Identification ◽  
Low Cost ◽  
Security Analysis ◽  
Healthcare Systems ◽  
Authentication Scheme ◽  
Security Requirements ◽  
Security And Privacy ◽  
Proper Solution ◽  
Asset Tracking ◽  
Lightweight Authentication

The Internet of Things (IoT) has been integrated into legacy healthcare systems for the purpose of improving healthcare processes. As one of the key technologies of IoT, radio frequency identification (RFID) technology has been applied to offer services like patient monitoring, drug administration, and medical asset tracking. However, people have concerns about the security and privacy of RFID-based healthcare systems, which require a proper solution. To solve the problem, recently in 2019, Fan et al. proposed a lightweight RFID authentication scheme in the IEEE Network. They claimed that their scheme can resist various attacks in RFID systems with low implementation cost, and thus is suitable for RFID-based healthcare systems. In this article, our contributions mainly consist of two parts. First, we analyze the security of Fan et al.’s scheme and find out its security vulnerabilities. Second, we propose a novel lightweight authentication scheme to overcome these security weaknesses. The security analysis shows that our scheme can satisfy the necessary security requirements. Besides, the performance evaluation demonstrates that our scheme is of low cost. Thus, our scheme is well-suited for practical RFID-based healthcare systems.

A review of passive self-sensing tag

Sensor Review ◽  
2017 ◽  
Vol 37 (3) ◽  
pp. 338-345 ◽  
Author(s):  
Yawei Xu ◽  
Lihong Dong ◽  
Haidou Wang ◽  
Jiannong Jing ◽  
Yongxiang Lu
Keyword(s):  
Radio Frequency Identification ◽  
Large Scale ◽  
Low Cost ◽  
Integrated Sensor ◽  
Content Type ◽  
Passive Sensing ◽  
Static Information ◽  
Potential Applications ◽  
Frequency Identification ◽  
Identification Tags

Purpose Radio frequency identification tags for passive sensing have attracted wide attention in the area of Internet of Things (IoT). Among them, some tags can sense the property change of objects without an integrated sensor, which is a new trend of passive sensing based on tag. The purpose of this paper is to review recent research on passive self-sensing tags (PSSTs). Design/methodology/approach The PSSTs reported in the past decade are classified in terms of sensing mode, composition and the ways of power supply. This paper presents operation principles of PSSTs and analyzes the characteristics of them. Moreover, the paper focuses on summarizing the latest sensing parameters of PSSTs and their matching equipment. Finally, some potential applications and challenges faced by this emerging technique are discussed. Findings PSST is suitable for long-term and large-scale monitoring compared to conventional sensors because it gets rid of the limitation of battery and has relatively low cost. Also, the static information of objects stored in different PSSTs can be identified by a single reader without touch. Originality/value This paper provides a detailed and timely review of the rapidly growing research in PSST.

scholarly journals A Survey of NFC Sensors Based on Energy Harvesting for IoT Applications

Sensors ◽  
2018 ◽  
Vol 18 (11) ◽  
pp. 3746 ◽  
Author(s):  
Antonio Lazaro ◽  
Ramon Villarino ◽  
David Girbau
Keyword(s):  
Energy Harvesting ◽  
Integrated Circuits ◽  
Radio Frequency Identification ◽  
Low Cost ◽  
Near Field ◽  
Wearable Sensors ◽  
Cold Chain ◽  
Iot Applications ◽  
Wide Range ◽  
Frequency Identification

In this article, an overview of recent advances in the field of battery-less near-field communication (NFC) sensors is provided, along with a brief comparison of other short-range radio-frequency identification (RFID) technologies. After reviewing power transfer using NFC, recommendations are made for the practical design of NFC-based tags and NFC readers. A list of commercial NFC integrated circuits with energy-harvesting capabilities is also provided. Finally, a survey of the state of the art in NFC-based sensors is presented, which demonstrates that a wide range of sensors (both chemical and physical) can be used with this technology. Particular interest arose in wearable sensors and cold-chain traceability applications. The availability of low-cost devices and the incorporation of NFC readers into most current mobile phones make NFC technology key to the development of green Internet of Things (IoT) applications.

Secure Outsourcing Algorithms for Composite Modular Exponentiation Based on Single Untrusted Cloud

2020 ◽  
Vol 63 (8) ◽  
pp. 1271-1271
Author(s):  
Qianqian Su ◽  
Rui Zhang ◽  
Rui Xue
Keyword(s):  
Radio Frequency Identification ◽  
Large Scale ◽  
Low Cost ◽  
Prime Numbers ◽  
Modular Exponentiation ◽  
Public Key Cryptosystems ◽  
Rsa Algorithm ◽  
Secure Outsourcing ◽  
Frequency Identification ◽  
Identity Based

Abstract Modular exponentiation, as a fundamental operation used in many public-key cryptosystems, has always be considered to be very time-consuming. It is difficult for some devices with limited computation capability, such as mobile devices and low-cost radio frequency identification (RFID) tags, to perform large-scale modular exponentiations. In cryptosystems, one typical case of modular exponentiation is that the modulus is a composite number. For instance, in RSA algorithm, the modulus is the product of two distinct prime numbers. In this paper, we investigate how to securely and efficiently outsource composite modular exponentiations and put forward two secure outsourcing algorithms for composite modular exponentiations based on single untrusted cloud. The first algorithm, named MCExp, is designed for outsourcing single composite modular exponentiation, i.e. $u^a$ mod $N$. The second algorithm, named SMCExp, is designed for outsourcing simultaneous composite modular exponentiation, i.e. $\prod ^{n}_{i=1}u^{a_i}_{i}$ mod $N$. Different from algorithms based on two untrusted servers, the proposed algorithms are very practical because they avoid the strong assumption that there must exist two servers without collusion. The proposed algorithms not only protect the privacy of the exponent and the base simultaneously, but also enable users to verify the correctness of the result returned by the cloud with high probability. Compared with using the square-and-multiply algorithm, the user can achieve higher efficiency by using the proposed algorithms. Besides, we prove the security of our algorithms and conduct several experiments to demonstrate the efficiency of the proposed algorithms. Finally, we show that the proposed algorithms can be used to construct the secure outsourcing algorithms for Shamir’s identity-based signature and identity-based multi-signature.

scholarly journals A Novel Printable Tag of M-Shaped Strips for Chipless Radio-Frequency Identification in IoT Applications

Electronics ◽  
2020 ◽  
Vol 9 (12) ◽  
pp. 2116
Author(s):  
Wazie M. Abdulkawi ◽  
Khaled Issa ◽  
Abdel-Fattah A. Sheta ◽  
Saleh A. Alshebeili
Keyword(s):  
Radio Frequency ◽  
Radio Frequency Identification ◽  
Low Cost ◽  
Center Frequency ◽  
Spatial Density ◽  
Tag Identification ◽  
Horizontal Polarization ◽  
Iot Applications ◽  
Frequency Identification ◽  
Coding Capacity

There is a growing interest in chipless radio-frequency identification (RFID) technology for a number of Internet of things (IoT) applications. This is due to its advantages of being of low-cost, low-power, and fully printable. In addition, it enjoys ease of implementation. In this paper, we present a novel, compact, chipless radio-frequency identification (RFID) tag that can be read with either vertical or horizontal polarization within its frequency bandwidth. This increases the sturdiness and detection ability of the RFID system. In addition, the difference between the vertical and horizontal responses can be used for tag identification. The proposed tag uses strip length variations to double the coding capacity and thereby reduce the overall size by almost 50%. It has a coding capacity of 20 bits in the operating bandwidth 3 GHz–7.5 GHz, and its spatial density is approximately 11 bits/cm2. The proposed tag has a 4.44 bits/GHz spectral capacity, 2.44 bits/cm2/GHz encoding capacity, a spatial density at the center frequency of 358.33 bits/λ2, and an encoding capacity at the center frequency of 79.63 bits/λ2/GHz. A prototype is fabricated and experimentally tested at a distance of 10 cm from the RFID reader system. Then, we compare the measured results with the simulations. The simulated results are in reasonable agreement with the simulated ones.

Achieving protection against man-in-the-middle attack in HB family protocols implemented in RFID tags

2016 ◽  
Vol 12 (3) ◽  
pp. 375-390 ◽  
Author(s):  
Aisha Aseeri ◽  
Omaimah Bamasag
Keyword(s):  
Radio Frequency Identification ◽  
Resource Constraints ◽  
Low Cost ◽  
Rfid Tags ◽  
Formal Proofs ◽  
Content Type ◽  
Security Issues ◽  
Man In The Middle ◽  
Identification Tags ◽  
Lightweight Authentication

Purpose In the past few years, HB-like protocols have gained much attention in the field of lightweight authentication protocols due to their efficient functioning and large potential applications in low-cost radio frequency identification tags, which are on the other side spreading so fast. However, most published HB protocols are vulnerable to man-in-the-middle attacks such as GRS or OOV attacks. The purpose of this research is to investigate security issues pertaining to HB-like protocols with an aim of improving their security and efficiency. Design/methodology/approach In this paper, a new and secure variant of HB family protocols named HB-MP* is proposed and designed, using the techniques of random rotation. The security of the proposed protocol is proven using formal proofs. Also, a prototype of the protocol is implemented to check its applicability, test the security in implementation and to compare its performance with the most related protocol. Findings The HB-MP* protocol is found secure against passive and active adversaries and is implementable within the tight resource constraints of today’s EPC-type RFID tags. Accordingly, the HB-MP* protocol provides higher security than previous HB-like protocols without sacrificing performance. Originality/value This paper proposes a new HB variant called HB-MP* that tries to be immune against the pre-mentioned attacks and at the same time keeping the simple structure. It will use only lightweight operations to randomize the rotation of the secret.

scholarly journals GNSS-Free Outdoor Localization Techniques for Resource-Constrained IoT Architectures: A Literature Review

2021 ◽  
Vol 11 (22) ◽  
pp. 10793
Author(s):  
Azin Moradbeikie ◽  
Ahmad Keshavarz ◽  
Habib Rostami ◽  
Sara Paiva ◽  
Sérgio Ivan Lopes
Keyword(s):  
Large Scale ◽  
Smart Cities ◽  
Low Cost ◽  
Security And Privacy ◽  
Smart Manufacturing ◽  
Localization Accuracy ◽  
Smart Transportation ◽  
Smart Healthcare ◽  
Definition Of ◽  
Outdoor Localization

Large-scale deployments of the Internet of Things (IoT) are adopted for performance improvement and cost reduction in several application domains. The four main IoT application domains covered throughout this article are smart cities, smart transportation, smart healthcare, and smart manufacturing. To increase IoT applicability, data generated by the IoT devices need to be time-stamped and spatially contextualized. LPWANs have become an attractive solution for outdoor localization and received significant attention from the research community due to low-power, low-cost, and long-range communication. In addition, its signals can be used for communication and localization simultaneously. There are different proposed localization methods to obtain the IoT relative location. Each category of these proposed methods has pros and cons that make them useful for specific IoT systems. Nevertheless, there are some limitations in proposed localization methods that need to be eliminated to meet the IoT ecosystem needs completely. This has motivated this work and provided the following contributions: (1) definition of the main requirements and limitations of outdoor localization techniques for the IoT ecosystem, (2) description of the most relevant GNSS-free outdoor localization methods with a focus on LPWAN technologies, (3) survey the most relevant methods used within the IoT ecosystem for improving GNSS-free localization accuracy, and (4) discussion covering the open challenges and future directions within the field. Some of the important open issues that have different requirements in different IoT systems include energy consumption, security and privacy, accuracy, and scalability. This paper provides an overview of research works that have been published between 2018 to July 2021 and made available through the Google Scholar database.

scholarly journals Physical Layer Detection and Security of Printed Chipless RFID Tag for Internet of Things Applications

2021 ◽  
Author(s):  
Grishma Khadka ◽  
Biplob Ray ◽  
Jinho Choi ◽  
Nemai Karmakar
Keyword(s):  
Internet Of Things ◽  
Radio Frequency Identification ◽  
Physical Layer Security ◽  
Low Cost ◽  
Cost Effective ◽  
Physical Layer ◽  
Sight Reading ◽  
Iot Applications ◽  
Chipless Rfid ◽  
Physical Attributes

<div>This paper has proposed detection and physical layer security provision for printed sensory tag systems for internet of things (IoT) applications. The printed sensory tags can be a very cost-effective way to speed up the proliferation of the intelligent world of IoT. The printed Radio Frequency Identification (RFID) of a sensory tag is chipless with the fully printable feature, non-line-of-sight reading, low cost, and robustness to the environment. The detection and adoption of security features for such tags in a robust environment are still challenging. This paper initially presents a robust technology for detecting tags using both the amplitude and phase information of the frequency signature. After successfully identifying tag IDs, the paper presents novel physical layer security using a deep learning model to prevent the cloning of tags. Our experiment shows that the proposed system can detect and identify the unique physical attributes of the tag and isolate the clone tag from the genuine tag. It is believed that such real-time and precise detection and security features bring this technology closer to commercialisation for IoT applications.</div>

scholarly journals A Lightweight RFID Mutual Authentication Protocol with PUF

Sensors ◽  
2019 ◽  
Vol 19 (13) ◽  
pp. 2957 ◽  
Author(s):  
Feng Zhu ◽  
Peng Li ◽  
He Xu ◽  
Ruchuan Wang
Keyword(s):  
Radio Frequency ◽  
Radio Frequency Identification ◽  
Large Scale ◽  
Mutual Authentication ◽  
Authentication Protocol ◽  
Security And Privacy ◽  
Great Loss ◽  
Physically Unclonable Functions ◽  
Frequency Identification ◽  
Mutual Authentication Protocol

Radio frequency identification is one of the key techniques for Internet of Things, which has been widely adopted in many applications for identification. However, there exist various security and privacy issues in radio frequency identification (RFID) systems. Particularly, one of the most serious threats is to clone tags for the goal of counterfeiting goods, which causes great loss and danger to customers. To solve these issues, lots of authentication protocols are proposed based on physical unclonable functions that can ensure an anti-counterfeiting feature. However, most of the existing schemes require secret parameters to be stored in tags, which are vulnerable to physical attacks that can further lead to the breach of forward secrecy. Furthermore, as far as we know, none of the existing schemes are able to solve the security and privacy problems with good scalability. Since many existing schemes rely on exhaustive searches of the backend server to validate a tag and they are not scalable for applications with a large scale database. Hence, in this paper, we propose a lightweight RFID mutual authentication protocol with physically unclonable functions (PUFs). The performance analysis shows that our proposed scheme can ensure security and privacy efficiently in a scalable way.

scholarly journals Evaluating Awareness and Perception of Botnet Activity within Consumer Internet-of-Things (IoT) Networks

Informatics ◽  
2019 ◽  
Vol 6 (1) ◽  
pp. 8 ◽  
Author(s):  
Christopher McDermott ◽  
John Isaacs ◽  
Andrei Petrovski
Keyword(s):  
Internet Of Things ◽  
Large Scale ◽  
Low Cost ◽  
Security And Privacy ◽  
Smart Devices ◽  
The Internet ◽  
Clear Correlation ◽  
Technical Knowledge ◽  
Home Networks ◽  
Cross Sectional

The growth of the Internet of Things (IoT), and demand for low-cost, easy-to-deploy devices, has led to the production of swathes of insecure Internet-connected devices. Many can be exploited and leveraged to perform large-scale attacks on the Internet, such as those seen by the Mirai botnet. This paper presents a cross-sectional study of how users value and perceive security and privacy in smart devices found within the IoT. It analyzes user requirements from IoT devices, and the importance placed upon security and privacy. An experimental setup was used to assess user ability to detect threats, in the context of technical knowledge and experience. It clearly demonstrated that without any clear signs when an IoT device was infected, it was very difficult for consumers to detect and be situationally aware of threats exploiting home networks. It also demonstrated that without adequate presentation of data to users, there is no clear correlation between level of technical knowledge and ability to detect infected devices.

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