scholarly journals A Secure and Efficient Lightweight Symmetric Encryption Scheme for Transfer of Text Files between Embedded IoT Devices

Symmetry ◽  
2019 ◽  
Vol 11 (2) ◽  
pp. 293 ◽  
Author(s):  
Sreeja Rajesh ◽  
Varghese Paul ◽  
Varun Menon ◽  
Mohammad Khosravi
Keyword(s):  
Encryption Algorithm ◽  
Symmetric Encryption ◽  
Embedded Devices ◽  
Lower Efficiency ◽  
Avalanche Effect ◽  
Encryption And Decryption ◽  
Encryption Algorithms ◽  
Iot Devices ◽  
Area Of Concern ◽  
The Internet Of Things

Recent advancements in wireless technology have created an exponential rise in the number of connected devices leading to the internet of things (IoT) revolution. Large amounts of data are captured, processed and transmitted through the network by these embedded devices. Security of the transmitted data is a major area of concern in IoT networks. Numerous encryption algorithms have been proposed in these years to ensure security of transmitted data through the IoT network. Tiny encryption algorithm (TEA) is the most attractive among all, with its lower memory utilization and ease of implementation on both hardware and software scales. But one of the major issues of TEA and its numerous developed versions is the usage of the same key through all rounds of encryption, which yields a reduced security evident from the avalanche effect of the algorithm. Also, the encryption and decryption time for text is high, leading to lower efficiency in IoT networks with embedded devices. This paper proposes a novel tiny symmetric encryption algorithm (NTSA) which provides enhanced security for the transfer of text files through the IoT network by introducing additional key confusions dynamically for each round of encryption. Experiments are carried out to analyze the avalanche effect, encryption and decryption time of NTSA in an IoT network including embedded devices. The results show that the proposed NTSA algorithm is much more secure and efficient compared to state-of-the-art existing encryption algorithms.

scholarly journals Light Weight Secure Encryption Scheme for Internet of Things Network

2019 ◽  
Author(s):  
Varun G Menon
Keyword(s):  
Internet Of Things ◽  
Encryption Algorithm ◽  
Encryption Scheme ◽  
Symmetric Encryption ◽  
Major Area ◽  
Embedded Devices ◽  
Avalanche Effect ◽  
Encryption And Decryption ◽  
Area Of Concern ◽  
Memory Utilization

Security of transmitted information is a major area of concern in Internet of Things (IoT) networks especially with large number of dynamically connected devices. One of the major challenge is to design an efficient encryption and decryption mechanism for securely transmitting the data between the devices in the network. Tiny Encryption Algorithm (TEA) is the most attractive encryption technique among all, with its less memory utilization and ease of implementation in both hardware and software scales. But one of the major issues of TEA and its numerous developed versions is the usage of the same key through all rounds of encryption, which yields a reduced security evident from the avalanche effect of the algorithm. This article discusses the working of a  novel  encryption scheme termed as Tiny Symmetric Encryption Algorithm (NTSA) which provides enhanced security for the transfer of text files through the IoT network by introducing additional key confusions dynamically for each round of encryption. Experiments are carried out to analyze the avalanche effect, encryption and decryption time of NTSA in an IoT network with embedded devices. The proposed scheme is found to have better performance compared to all the existing techniques.

scholarly journals A Dynamic Light-Weight Symmetric Encryption Algorithm for Secure Data Transmission via BLE Beacons

2021 ◽  
Vol 11 (1) ◽  
pp. 2
Author(s):  
Sam Banani ◽  
Surapa Thiemjarus ◽  
Kitti Wongthavarawat ◽  
Nattapong Ounanong
Keyword(s):  
Data Transmission ◽  
Data Encryption ◽  
Sensor Nodes ◽  
Encryption Algorithm ◽  
Light Weight ◽  
Symmetric Encryption ◽  
Avalanche Effect ◽  
Secure Data ◽  
Secure Data Transmission ◽  
Encryption Algorithms

Pervasive sensing with Body Sensor Networks (BSNs) is a promising technology for continuous health monitoring. Since the sensor nodes are resource-limited, on-node processing and advertisement of digested information via BLE beacon is a promising technique that can enable a node gateway to communicate with more sensor nodes and extend the sensor node’s lifetime before requiring recharging. This study proposes a Dynamic Light-weight Symmetric (DLS) encryption algorithm designed and developed to address the challenges in data protection and real-time secure data transmission via message advertisement. The algorithm uses a unique temporal encryption key to encrypt each transmitting packet with a simple function such as XOR. With small additional overhead on computational resources, DLS can significantly enhance security over existing baseline encryption algorithms. To evaluate its performance, the algorithm was utilized on beacon data encryption over advertising channels. The experiments demonstrated the use of the DLS encryption algorithm on top of various light-weight symmetric encryption algorithms (i.e., TEA, XTEA, PRESENT) and a MD5 hash function. The experimental results show that DLS can achieve acceptable results for avalanche effect, key sensitivity, and randomness in ciphertexts with a marginal increase in the resource usage. The proposed DLS encryption algorithm is suitable for implementation at the application layer, is light and energy efficient, reduces/removes the need for secret key exchange between sensor nodes and the server, is applicable to dynamic message size, and also protects against attacks such as known plaintext attack, brute-force attack, replaying attack, and differential attack.

scholarly journals Mahaviracharya Encryption Standard (MES)

2020 ◽  
Vol 8 (6) ◽  
pp. 5759-5764
Keyword(s):  
Encryption Algorithm ◽  
The Internet ◽  
Symmetric Encryption ◽  
Important Thing ◽  
New Process ◽  
Encryption Algorithms ◽  
Use Of The Internet

Given the current use of the Internet, The most important thing is to provide security to the user's information. Many encryption algorithms already exist for this purpose. Here we discussed a new process called Mahaviracharya Encryption Standard. MES is a symmetric encryption algorithm. Here, this algorithm is cryptanalyzed, and compared with blowfish algorithm. MES algorithm can be used instead off algorithms like AES, Blowfish etc.

scholarly journals Towards Light Weight Cryptography Schemes for Resource Constraint Devices in IoT

2020 ◽  
Author(s):  
Santosh Pandurang Jadhav
Keyword(s):  
Processing Capacity ◽  
Light Weight ◽  
Resource Constrained ◽  
Computational Costs ◽  
Encryption And Decryption ◽  
Limited Power ◽  
Iot Devices ◽  
The Internet Of Things ◽  
Resource Constrained Devices ◽  
Constrained Devices

The Internet of Things (IoT) is becoming the most relevant next Internet-related revolution in the world of Technology. It permits millions of devices to be connected and communicate with each other. Beside ensuring reliable connectivity their security is also a great challenge. Abounding IoT devices have a minimum of storage and processing capacity and they usually need to be able to operate on limited power consumption. Security paths that depend maximum on encryption are not good for these resource constrained devices, because they are not suited for performing complicated encryption and decryption tasks quickly to be able to transmit data securely in real-time. This paper contains an overview of some of the cryptographic-based schemes related to communication and computational costs for resource constrained devices and considers some approaches towards the development of highly secure and lightweight security mechanisms for IoT devices.

scholarly journals A Secure Implementation of a Symmetric Encryption Algorithm in White-Box Attack Contexts

2013 ◽  
Vol 2013 ◽  
pp. 1-9 ◽  
Author(s):  
Yang Shi ◽  
Qin Liu ◽  
Qinpei Zhao
Keyword(s):  
Slight Modification ◽  
Smart Phones ◽  
Encryption Algorithm ◽  
Symmetric Encryption ◽  
Digital Right Management ◽  
Round Function ◽  
Full Control ◽  
Execution Platform ◽  
Encryption Algorithms ◽  
Secure Implementation

In a white-box context, an adversary has total visibility of the implementation of the cryptosystem and full control over its execution platform. As a countermeasure against the threat of key compromise in this context, a new secure implementation of the symmetric encryption algorithm SHARK is proposed. The general approach is to merge several steps of the round function of SHARK into table lookups, blended by randomly generated mixing bijections. We prove the soundness of the implementation of the algorithm and analyze its security and efficiency. The implementation can be used in web hosts, digital right management devices, and mobile devices such as tablets and smart phones. We explain how the design approach can be adapted to other symmetric encryption algorithms with a slight modification.

scholarly journals Parallel impelementation of RC6 algorithm

2021 ◽  
Vol 3 (2) ◽  
pp. 01-09
Author(s):  
Artan Berisha ◽  
Hektor Kastrati
Keyword(s):  
Data Security ◽  
Parallel Implementation ◽  
Encryption Algorithm ◽  
Advanced Encryption Standard ◽  
Block Algorithm ◽  
General Terms ◽  
Encryption And Decryption ◽  
Encryption Algorithms ◽  
Symmetric Block

Data security is very important in the field of Computer Science. In this paper the encryption algorithm called RC6 will be analyzed and its standard and parallel implementation will be done. First the field of Cryptology is discussed in general terms, then the classification of encryption algorithms according to operation and techniques is explained. RC6 is a symmetric block algorithm derived from the RC5 algorithm. RC6 operates on 128-bit blocks and accepts 128, 192, 256-bit keys until 2040 bytes. In the Advanced Encryption Standard (AES) competition, RC6 managed to rank among the five finalists. The structure of the RC6 algorithm will be analyzed also the encryption and decryption methods.  The comparison between standard and parallel implementation will be made.

scholarly journals Lightweight Cryptography Algorithms for IOT Devices

2021 ◽  
Vol 9 (VI) ◽  
pp. 1678-1683
Author(s):  
Vasireddy Vennela
Keyword(s):  
Internet Of Things ◽  
Advanced Encryption Standard ◽  
The Internet ◽  
Symmetric Encryption ◽  
Lightweight Cryptography ◽  
Limited Energy ◽  
Sophisticated Method ◽  
Computationally Expensive ◽  
Iot Devices ◽  
The Internet Of Things

Lightweight cryptography is a new concept for securing data more effectively while using fewer resources and providing greater throughput, conservatism, and low battery consumption. Every fraction second, the Internet of Things (IoT), which connects billions of objects, generates massive amounts of data. As the number of devices grows, so does the amount of data generated, and the security of that data becomes a concern. In IoT architecture, gadgets are essentially smaller and low-powered. Because of their complexity, traditional encryption methods are computationally expensive and take many rounds to encrypt, basically wasting the limited energy of IoT devices. However, a less sophisticated method may jeopardise the intended fidelity. There are various lightweight cryptography techniques available, and we choose one of the symmetric encryption techniques known as Advanced Encryption Standard (AES). The speed of this algorithm is six times that of triple DES.

scholarly journals Compare encryption performance across devices to ensure the security of the IOT

2020 ◽  
Vol 20 (2) ◽  
pp. 894
Author(s):  
A.YU. Pyrkova ◽  
ZH.E. Temirbekova
Keyword(s):  
Homomorphic Encryption ◽  
Security And Privacy ◽  
Symmetric Cryptography ◽  
Fully Homomorphic Encryption ◽  
Cryptographic Primitives ◽  
Development Platform ◽  
Encryption And Decryption ◽  
Detailed Assessment ◽  
Iot Devices ◽  
The Internet Of Things

The Internet of Things (IoT) combines many devices with various platforms, computing capabilities and functions. The heterogeneity of the network and the ubiquity of IoT devices place increased demands on security and privacy protection. Therefore, cryptographic mechanisms must be strong enough to meet these increased requirements, but at the same time they must be effective enough to be implemented on devices with disabilities. One of the limited devices are microcontrollers and smart cards. This paper presents the performance and memory limitations of modern cryptographic primitives and schemes on various types of devices that can be used in IoT. In this article, we provide a detailed assessment of the performance of the most commonly used cryptographic algorithms on devices with disabilities that often appear on IoT networks. We relied on the most popular open source microcontroller development platform, on the mbed platform. To provide a data protection function, we use cryptography asymmetric fully homomorphic encryption in the binary ring and symmetric cryptography AES 128 bit. In addition, we compared run-time encryption and decryption on a personal computer (PC) with Windows 7, the Bluetooth Low Energy (BLE) Nano Kit microcontroller, the BLE Nano 1.5, and the smartcard ML3-36k-R1.

scholarly journals Lightweight Cryptographic Algorithms for Guessing Attack Protection in Complex Internet of Things Applications

Complexity ◽  
2021 ◽  
Vol 2021 ◽  
pp. 1-13
Author(s):  
Mohammad Kamrul Hasan ◽  
Muhammad Shafiq ◽  
Shayla Islam ◽  
Bishwajeet Pandey ◽  
Yousef A. Baker El-Ebiary ◽  
...  
Keyword(s):  
Deep Learning ◽  
Internet Of Things ◽  
Real Time ◽  
Encryption Algorithm ◽  
Support Vector ◽  
Iot Applications ◽  
Encryption And Decryption ◽  
Cryptographic Algorithms ◽  
Encryption Algorithms ◽  
Guessing Attack

As the world keeps advancing, the need for automated interconnected devices has started to gain significance; to cater to the condition, a new concept Internet of Things (IoT) has been introduced that revolves around smart devicesʼ conception. These smart devices using IoT can communicate with each other through a network to attain particular objectives, i.e., automation and intelligent decision making. IoT has enabled the users to divide their household burden with machines as these complex machines look after the environment variables and control their behavior accordingly. As evident, these machines use sensors to collect vital information, which is then the complexity analyzed at a computational node that then smartly controls these devicesʼ operational behaviors. Deep learning-based guessing attack protection algorithms have been enhancing IoT security; however, it still has a critical challenge for the complex industries’ IoT networks. One of the crucial aspects of such systems is the need to have a significant training time for processing a large dataset from the networkʼs previous flow of data. Traditional deep learning approaches include decision trees, logistic regression, and support vector machines. However, it is essential to note that this convenience comes with a price that involves security vulnerabilities as IoT networks are prone to be interfered with by hackers who can access the sensor/communication data and later utilize it for malicious purposes. This paper presents the experimental study of cryptographic algorithms to classify the types of encryption algorithms into the asymmetric and asymmetric encryption algorithm. It presents a deep analysis of AES, DES, 3DES, RSA, and Blowfish based on timing complexity, size, encryption, and decryption performances. It has been assessed in terms of the guessing attack in real-time deep learning complex IoT applications. The assessment has been done using the simulation approach and it has been tested the speed of encryption and decryption of the selected encryption algorithms. For each encryption and decryption, the tests executed the same encryption using the same plaintext for five separate times, and the average time is compared. The key size used for each encryption algorithm is the maximum bytes the cipher can allow. To the comparison, the average time required to compute the algorithm by the three devices is used. For the experimental test, a set of plaintexts is used in the simulation—password-sized text and paragraph-sized text—that achieves target fair results compared to the existing algorithms in real-time deep learning networks for IoT applications.

scholarly journals Improvement of LoRa Communication Scalability using Machine Learning Based Adaptiveness

2021 ◽  
Author(s):  
Alexander Valach ◽  
Dominik Macko
Keyword(s):  
Communication Technologies ◽  
The Internet ◽  
Mobile Nodes ◽  
Embedded Devices ◽  
Parameters Selection ◽  
Simulation Based ◽  
Efficient Communication ◽  
Iot Devices ◽  
The Internet Of Things

<div>Number of embedded devices connected to the Internet is rapidly increasing, especially in the era of the Internet of Things (IoT). The growing number of IoT devices communicating wirelessly causes a communication-parameters selection problem, implying the increasing number of communication collisions. Multiple factors of IoT networks signify this problem, such as inability to communication-channel listening prior to the transmission (due to longer distances), energy constrains (due to inability of powering devices from the grid), or limitation of duty cycle and high interference (due to usage of unlicensed band in communication technologies). This article is focused on alleviating this problem in LoRa networks, which is one of the most promising technology for long-range and low-power</div><div>communication. We utilize the existing LoRa@FIIT protocol to achieve energy-efficient communication. The scalability of the LoRa network is increased by modifying the communication-parameters selection algorithm. By ensuring of quality of service mechanism at each node in the infrastructure, the application domain of the proposed architecture is widened. The simulation-based experimental results showed a significantly reduced number of collisions for mobile nodes, which reduces the channel congestion and the wasted energy by retransmissions.</div>

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