Code analysis of lightweight encryption algorithms using in RFID systems to improve cipher performance

2012 ◽  
Author(s):  
Mojtaba Alizadeh ◽  
Jafar Shayan ◽  
Mazdak Zamani ◽  
Touraj Khodadadi
Keyword(s):  
Code Analysis ◽  
Rfid Systems ◽  
Encryption Algorithms ◽  
Lightweight Encryption

LIGHTWEIGHT CRYPTOGRAPHIC ALGORITHM IMPLEMENTATION IN A MICROCONTROLLER SYSTEM

2021 ◽  
Vol 17 (1) ◽  
pp. 260-264
Author(s):  
Alexandru VULPE ◽  
Raluca ANDREI ◽  
Alexandru BRUMARU ◽  
Octavian FRATU
Keyword(s):  
The Internet ◽  
Continuous Increase ◽  
Security Issues ◽  
Cryptographic Algorithm ◽  
Physical Limitations ◽  
Encryption Algorithms ◽  
Iot Devices ◽  
The Cost ◽  
Algorithm Implementation ◽  
Lightweight Encryption

Abstract: With the development of mobile devices and the advent of smartphones, the Internet has become part of everyday life. Any category of information about weather, flight schedule, etc. it is just a click away from the keyboard. This availability of data has led to a continuous increase in connectivity between devices, from any corner of the world. Combining device connectivity with systems automation allows the collection of information, its analysis and implicitly decision-making on the basis of information. Their introduction and continued expansion of devices that communicate in networks (including the Internet) have made security issues very important devices as well as for users. One of the main methodologies that ensures data confidentiality is encryption, which protects data from unauthorized access, but at the cost of using extensive mathematical models. Due to the nature of IoT devices, the resources allocated to a device can be constrained by certain factors, some of which are related to costs and others to the physical limitations of the device. Ensuring the confidentiality of data requires the use of encryption algorithms for these interconnected devices, which provide protection while maintaining the operation of that device. The need for these types of algorithms has created conditions for the growth and development of the concept of lightweight encryption, which aim to find encryption systems that can be implemented on these categories of devices, with limited hardware and software requirements. The paper proposes a lightweight cryptographic algorithm implemented on a microcontroller system, comparing its performances with those of the already existing system (based on x86).

A Lightweight Authentication and Encryption Protocol for Secure Communications Between Resource-Limited Devices Without Hardware Modification

2018 ◽  
pp. 1-46
Author(s):  
Piotr Ksiazak ◽  
William Farrelly ◽  
Kevin Curran
Keyword(s):  
Ubiquitous Computing ◽  
Secure Communications ◽  
Wireless Devices ◽  
Authentication Protocols ◽  
It Industry ◽  
Processing Power ◽  
Resource Limited ◽  
Encryption Algorithms ◽  
Lightweight Authentication ◽  
Lightweight Encryption

In this chapter, the authors examine the theoretical context for the security of wireless communication between ubiquitous computing devices and present an implementation that addresses this need. The number of resource-limited wireless devices utilized in many areas of the IT industry is growing rapidly. Some of the applications of these devices pose real security threats that can be addressed using authentication and cryptography. Many of the available authentication and encryption software solutions are predicated on the availability of ample processing power and memory. These demands cannot be met by most ubiquitous computing devices; thus, there is a need to apply lightweight cryptography primitives and lightweight authentication protocols that meet these demands in any application of security to devices with limited resources. The analysis of the lightweight solutions is divided into lightweight authentication protocols and lightweight encryption algorithms. The authors present a prototype running on the nRF9E5 microcontroller that provides necessary authentication and encryption on resource-limited devices.

scholarly journals A Survey of IoT Security Based on a Layered Architecture of Sensing and Data Analysis

Sensors ◽  
2020 ◽  
Vol 20 (13) ◽  
pp. 3625 ◽  
Author(s):  
Hichem Mrabet ◽  
Sana Belguith ◽  
Adeeb Alhomoud ◽  
Abderrazak Jemai
Keyword(s):  
Machine Learning Algorithms ◽  
Cloud Services ◽  
Transport Layer ◽  
Security Threats ◽  
Application Layer ◽  
Research Issues ◽  
Layered Architecture ◽  
Survey Paper ◽  
Encryption Algorithms ◽  
Lightweight Encryption

The Internet of Things (IoT) is leading today’s digital transformation. Relying on a combination of technologies, protocols, and devices such as wireless sensors and newly developed wearable and implanted sensors, IoT is changing every aspect of daily life, especially recent applications in digital healthcare. IoT incorporates various kinds of hardware, communication protocols, and services. This IoT diversity can be viewed as a double-edged sword that provides comfort to users but can lead also to a large number of security threats and attacks. In this survey paper, a new compacted and optimized architecture for IoT is proposed based on five layers. Likewise, we propose a new classification of security threats and attacks based on new IoT architecture. The IoT architecture involves a physical perception layer, a network and protocol layer, a transport layer, an application layer, and a data and cloud services layer. First, the physical sensing layer incorporates the basic hardware used by IoT. Second, we highlight the various network and protocol technologies employed by IoT, and review the security threats and solutions. Transport protocols are exhibited and the security threats against them are discussed while providing common solutions. Then, the application layer involves application protocols and lightweight encryption algorithms for IoT. Finally, in the data and cloud services layer, the main important security features of IoT cloud platforms are addressed, involving confidentiality, integrity, authorization, authentication, and encryption protocols. The paper is concluded by presenting the open research issues and future directions towards securing IoT, including the lack of standardized lightweight encryption algorithms, the use of machine-learning algorithms to enhance security and the related challenges, the use of Blockchain to address security challenges in IoT, and the implications of IoT deployment in 5G and beyond.

scholarly journals Application of a Lightweight Encryption Algorithm to a Quantized Speech Image for Secure IoT

2018 ◽  
Author(s):  
Mourad Talbi ◽  
Med Salim Bouhalel
Keyword(s):  
Internet Of Things ◽  
Data Security ◽  
Speech Signal ◽  
Block Cipher ◽  
Encryption Algorithm ◽  
Encryption Algorithms ◽  
Computationally Expensive ◽  
Complex Algorithm ◽  
Lightweight Encryption ◽  
Image Simulations

The IoT Internet of Things being a promising technology of the future. It is expected to connect billions of devices. The increased communication number is expected to generate data mountain and the data security can be a threat. The devices in the architecture are fundamentally smaller in size and low powered. In general, classical encryption algorithms are computationally expensive and this due to their complexity and needs numerous rounds for encrypting, basically wasting the constrained energy of the gadgets. Less complex algorithm, though, may compromise the desired integrity. In this paper we apply a lightweight encryption algorithm named as Secure IoT (SIT) to a quantized speech image for Secure IoT. It is a 64-bit block cipher and requires 64-bit key to encrypt the data. This quantized speech image is constructed by first quantizing a speech signal and then splitting the quantized signal into frames. Then each of these frames is transposed for obtaining the different columns of this quantized speech image. Simulations result shows the algorithm provides substantial security in just five encryption rounds.

scholarly journals On the Security of Rotation Operation Based Ultra-Lightweight Authentication Protocols for RFID Systems

2018 ◽  
Vol 10 (9) ◽  
pp. 82
Author(s):  
Masoumeh Safkhani ◽  
Nasour Bagheri ◽  
Mahyar Shariat
Keyword(s):  
Radio Frequency Identification ◽  
Success Probability ◽  
Authentication Protocol ◽  
Rfid Tags ◽  
Rfid Systems ◽  
Frequency Identification ◽  
Lightweight Authentication ◽  
The Given ◽  
Rotation Function ◽  
Lightweight Encryption

Passive Radio Frequency IDentification (RFID) tags are generally highly constrained and cannot support conventional encryption systems to meet the required security. Hence, designers of security protocols may try to achieve the desired security only using limited ultra-lightweight operations. In this paper, we show that the security of such protocols is not provided by using rotation functions. In the following, for an example, we investigate the security of an RFID authentication protocol that has been recently developed using rotation function named ULRAS, which stands for an Ultra-Lightweight RFID Authentication Scheme and show its security weaknesses. More precisely, we show that the ULRAS protocol is vulnerable against de-synchronization attack. The given attack has the success probability of almost ‘1’, with the complexity of only one session of the protocol. In addition, we show that the given attack can be used as a traceability attack against the protocol if the parameters’ lengths are an integer power of 2, e.g., 128. Moreover, we propose a new authentication protocol named UEAP, which stands for an Ultra-lightweight Encryption based Authentication Protocol, and then informally and formally, using Scyther tool, prove that the UEAP protocol is secure against all known active and passive attacks.

scholarly journals Analysis of block encryption algorithms being used in devices with restricted amount of technological possibilities

2020 ◽  
Vol 224 ◽  
pp. 01043
Author(s):  
Larissa Cherckesova ◽  
Olga Safaryan ◽  
Pavel Razumov ◽  
Dmitry Medvedev ◽  
Veronica Kravchenko ◽  
...  
Keyword(s):  
Comparative Analysis ◽  
National Security ◽  
Encryption Algorithm ◽  
National Security Agency ◽  
Encryption Algorithms ◽  
Lightweight Encryption ◽  
Block Encryption

This report is devoted to the comparative analysis of the lightweight NASH block encryption algorithm and the algorithm presented by USA National Security Agency in 2013 – SPECK. Their detailed description is given, the analysis is made. The task of the study is to investigate and analyze cryptographic encryption algorithms used in devices with limited capabilities such as microcontrollers. The study of lightweight encryption algorithms and their application for cybersecurity tasks is necessary to create the latest cryptographic systems aimed at preventing various types of attacks. The study revealed that the NASH block encryption algorithm showed more optimized performance, since the number of rounds of cipher execution is less than that Speck algorithm, which provides greater stability of algorithm with least number of executable rounds.

scholarly journals An Enhanced Block Pre-processing of PRESENT Algorithm for Fingerprint Template Encryption in the Internet of Things Environment

2021 ◽  
Vol 13 (3) ◽  
Author(s):  
Norliza Katuk ◽  
Ikenna Rene Chiadighikaobi
Keyword(s):  
Internet Of Things ◽  
The Internet ◽  
Memory Usage ◽  
Original Algorithm ◽  
Internet Of Things Environment ◽  
Cpu Usage ◽  
Encryption Algorithms ◽  
The Internet Of Things ◽  
Lightweight Encryption ◽  
Present Algorithm

Many previous studies had proven that The PRESENT algorithm is ultra-lightweight encryption. Therefore, it is suitable for use in an IoT environment. However, the main problem with block encryption algorithms like PRESENT is that it causes attackers to break the encryption key. In the context of a fingerprint template, it contains a header and many zero blocks that lead to a pattern and make it easier for attackers to obtain an encryption key. Thus, this research proposed header and zero blocks bypass method during the block pre-processing to overcome this problem. First, the original PRESENT algorithm was enhanced by incorporating the block pre-processing phase. Then, the algorithm’s performance was tested using three measures: time, memory usage, and CPU usage for encrypting and decrypting fingerprint templates. This study demonstrated that the proposed method encrypted and decrypted the fingerprint templates faster with the same CPU usage of the original algorithm but consumed higher memory. Thus, it has the potential to be used in IoT environments for security.

scholarly journals BFLP: An Adaptive Federated Learning Framework for Internet of Vehicles

2021 ◽  
Vol 2021 ◽  
pp. 1-18
Author(s):  
Yongqiang Peng ◽  
Zongyao Chen ◽  
Zexuan Chen ◽  
Wei Ou ◽  
Wenbao Han ◽  
...  
Keyword(s):  
Privacy Preservation ◽  
Human Beings ◽  
Computing Power ◽  
Internet Of Vehicles ◽  
Learning Framework ◽  
Actual Application ◽  
Vehicle Systems ◽  
Learning Technique ◽  
Encryption Algorithms ◽  
Lightweight Encryption

Applications of Internet of Vehicles (IoV) make the life of human beings more intelligent and convenient. However, in the present, there are some problems in IoV, such as data silos and poor privacy preservation. To address the challenges in IoV, we propose a blockchain-based federated learning pool (BFLP) framework. BFLP allows the models to be trained without sharing raw data, and it can choose the most suitable federated learning method according to actual application scenarios. Considering the poor computing power of vehicle systems, we construct a lightweight encryption algorithm called CPC to protect privacy. To verify the proposed framework, we conducted experiments in obstacle-avoiding and traffic forecast scenarios. The results show that the proposed framework can effectively protect the user's privacy, and it is more stable and efficient compared with traditional machine learning technique. Also, we compare the CPC algorithm with other encryption algorithms. And the results show that its calculation cost is much lower compared to other symmetric encryption algorithms.

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