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 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 Comparing the speed of the selected hash and encryption algorithms

2017 ◽  
Vol 4 ◽  
pp. 82-86
Author(s):  
Dawid Górniak ◽  
Piotr Kopniak
Keyword(s):  
Programming Language ◽  
Research Group ◽  
Data Security ◽  
Hash Function ◽  
Hash Functions ◽  
Encryption Algorithm ◽  
Java Programming ◽  
Signature Generation ◽  
Encryption Algorithms ◽  
Valuable Thing

The data is often the most valuable thing that we collect on our computers. Without proper data security with encryption our valuable information may be illegally used by an unauthorised person. The article presents selected encryption methods and hash functions available in Boucy Castle library for Java programming language. The presented analysis applies to measurement of the speed of signature generation and verification. The signatures are for 240 bit encryption algorithms. In case of a hash function, the analysis refers to the speed of such functions. The fastest encryption algorithm and hash function from the research group were AES and SHA1.

scholarly journals Color Image Encryption using AES and RSA

2020 ◽  
Vol 9 (5) ◽  
pp. 547-550
Keyword(s):  
Data Security ◽  
Block Cipher ◽  
Color Image ◽  
Signal To Noise Ratio ◽  
Security Level ◽  
Change Rate ◽  
The Public ◽  
Key Block ◽  
Symmetric Key ◽  
Encryption Algorithms

Information security is an important task on multimedia and communication world. During storing and sharing maintaining a strategic distance from the outsider access of information is the difficult one. There are many encryption algorithms that can provide data security. In this paper two of the encryption algorithms namely AES and RSA are implemented for color images. AES (Advanced Encryption Standard) is a symmetric key block cipher published in December 2001 by NSIT (National Institute of Standards and Technology). RSA (Rivest-Shamir-Adleman) is an asymmetric key block cipher. It uses two separate keys, one for encryption called the public key and other for decryption called the private key. Both the implementation and analysis are done in Matlab. The quality and security level of both the algorithms is analysed based on various criteria such as Histogram analysis, Correlation analysis, Entropy analysis, NPCR (Number of Pixel Change Rate), UACI (Unified Average Changing Intensity), PSNR (Peak Signal-to-Noise Ratio).

scholarly journals JLVEA: Lightweight Real-Time Video Stream Encryption Algorithm for Internet of Things

Sensors ◽  
2020 ◽  
Vol 20 (13) ◽  
pp. 3627 ◽  
Author(s):  
Junhyeok Yun ◽  
Mihui Kim
Keyword(s):  
Internet Of Things ◽  
Packet Loss ◽  
Encryption Algorithm ◽  
Memory Usage ◽  
Video Encryption ◽  
Data Loss ◽  
Iot Security ◽  
Encryption Algorithms ◽  
Channel Separation ◽  
Color Composition

Along with the recent growth of Internet of Things (IoT) security camera market, there have been a number of personal information leakage incidents from security attacks targeting such cameras. Therefore, a permutation-based video encryption algorithm was proposed to secure video streams in low-performance processors such as IoT security cameras. However, existing permutation-based video encryption algorithms are vulnerable to known-plaintext attacks since they use the same permutation list for every frame. Moreover, situation deduction based on the color composition is possible. In this paper, we propose a new permutation-based video encryption algorithm that updates the permutation list for every frame using a crypto secure pseudo-random number generator without significantly increasing memory usage. By doing so, the algorithm becomes robust to known-plaintext attacks, which has been a common problem with existing permutation-based video encryption algorithms. In addition, color channel separation can prevent attackers from deducing situations through color composition. Pre-compression encryption is applied to make the algorithm robust to data loss because of packet loss. We implement the proposed algorithm and conduct an experiment to show its performance in terms of probability of data loss because of packet loss, encryption speed, and memory usage.

Speeding Up the Internet of Things: LEAIoT: A Lightweight Encryption Algorithm Toward Low-Latency Communication for the Internet of Things

2018 ◽  
Vol 7 (6) ◽  
pp. 31-37 ◽  
Author(s):  
Muhammad Asif Habib ◽  
Mudassar Ahmad ◽  
Sohail Jabbar ◽  
Syed Hassan Ahmed ◽  
Joel J.P.C. Rodrigues
Keyword(s):  
Internet Of Things ◽  
Encryption Algorithm ◽  
The Internet ◽  
Low Latency ◽  
The Internet Of Things ◽  
Lightweight Encryption

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 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 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.

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