SMS Security System on Mobile Devices Using Tiny Encryption Algorithm

Novelan, Muhammad Syahputra; Husein, Amir Mahmud; Harahap, Mawaddah; Aisyah, Siti

doi:10.1088/1742-6596/1007/1/012037

Cited by 15 publications

(7 citation statements)

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“…However, it degrades the strength and efficiency of the security algorithm. In addition, it takes a huge time for the encryption and decryption process [38,39]. A novel tiny symmetric encryption algorithm (NTSA) is suggested to improve the security of IoT networks by providing additional key confusion for each round of encryption [40].…”

Section: Lightweight Cryptography Schemes For Coapmentioning

confidence: 99%

Lightweight Payload Encryption-Based Authentication Scheme for Advanced Metering Infrastructure Sensor Networks

Abosata

Al‐Rubaye

Tsourdos

2022

Sensors

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The Internet of Things (IoT) connects billions of sensors to share and collect data at any time and place. The Advanced Metering Infrastructure (AMI) is one of the most important IoT applications. IoT supports AMI to collect data from smart sensors, analyse and measure abnormalities in the energy consumption pattern of sensors. However, two-way communication in distributed sensors is sensitive and tends towards security and privacy issues. Before deploying distributed sensors, data confidentiality and privacy and message authentication for sensor devices and control messages are the major security requirements. Several authentications and encryption protocols have been developed to provide confidentiality and integrity. However, many sensors in distributed systems, resource constraint smart sensors, and adaptability of IoT communication protocols in sensors necessitate designing an efficient and lightweight security authentication scheme. This paper proposes a Payload Encryption-based Optimisation Scheme for lightweight authentication (PEOS) on distributed sensors. The PEOS integrates and optimises important features of Datagram Transport Layer Security (DTLS) in Constrained Application Protocol (CoAP) architecture instead of implementing the DTLS in a separate channel. The proposed work designs a payload encryption scheme and an Optimised Advanced Encryption Standard (OP-AES). The PEOS modifies the DTLS handshaking and retransmission processes in PEOS using payload encryption and NACK messages, respectively. It also removes the duplicate features of the protocol version and sequence number without impacting the performance of CoAP. Moreover, the PEOS attempts to improve the CoAP over distributed sensors in the aspect of optimised AES operations, such as parallel execution of S-boxes in SubBytes and delayed Mixcolumns. The efficiency of PEOS authentication is evaluated on Conitki OS using the Cooja simulator for lightweight security and authentication. The proposed scheme attains better throughput while minimising the message size overhead by 9% and 23% than the existing payload-based mutual authentication PbMA and basic DTLS/CoAP scheme in random network topologies with less than 50 nodes.

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Section: Lightweight Cryptography Schemes For Coapmentioning

confidence: 99%

Lightweight Payload Encryption-Based Authentication Scheme for Advanced Metering Infrastructure Sensor Networks

Abosata

Al‐Rubaye

Tsourdos

2022

Sensors

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“…Nonetheless, this method utilized the same key for all encryption rounds which resulted in security reducing. Novelan et al [8] established an SMS security system for mobile devices by the TEA. This system confirms that the securing messages are ciphered in the key to getting the ciphered SMS message directed to the mobile number destination.…”

Section: Related Workmentioning

confidence: 99%

Extended of TEA: A 256 bits block cipher algorithm for image encryption

Shimal

Helal

Hashim

2021

IJECE

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<p>This paper introduces an effective image encryption approach that merges a chaotic map and polynomial with a block cipher. According to this scheme, there are three levels of encryption. In the first level, pixel positions of the image are scuffled into blocks randomly based on a chaotic map. In the second level, the polynomials are constructed by taking N unused pixels from the permuted blocks as polynomial coefficients. Finally, the third level a proposed secret-key block cipher called extended of tiny encryption algorithm (ETEA) is used. The proposed ETEA algorithm increased the block size from 64-bit to 256-bit by using F-function in type three Feistel network design. The key schedule generation is very straightforward through admixture the entire major subjects in the identical manner for every round. The proposed ETEA algorithm is word-oriented, where wholly internal operations are executed on words of 32 bits. So, it is possible to efficiently implement the proposed algorithm on smart cards. The results of the experimental demonstration that the proposed encryption algorithm for all methods are efficient and have high security features through statistical analysis using histograms, correlation, entropy, randomness tests, and the avalanche effect.</p>

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“…In our experiments, we used the TOSSIM simulator which is used for wireless sensor networks (WSNs) [31] to build the vehicle sensor-base station model. To measure the execution time of CPC and other encryption algorithms, we tested a variety of encryption algorithms in the TinyOS [17] system through many experiments, including CPC, TEA [32], XTEA [33], and AES [34], which are all newly proposed algorithms and used for low-resource embedded devices or mobile devices. Novelan et al gave the implementation of the encryption algorithm TEA.…”

Section: Experiments and Analysismentioning

confidence: 99%

BFLP: An Adaptive Federated Learning Framework for Internet of Vehicles

Peng

Chen

et al. 2021

Mobile Information Systems

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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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SMS Security System on Mobile Devices Using Tiny Encryption Algorithm

Cited by 15 publications

References 1 publication

Lightweight Payload Encryption-Based Authentication Scheme for Advanced Metering Infrastructure Sensor Networks

Lightweight Payload Encryption-Based Authentication Scheme for Advanced Metering Infrastructure Sensor Networks

Extended of TEA: A 256 bits block cipher algorithm for image encryption

BFLP: An Adaptive Federated Learning Framework for Internet of Vehicles

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