{"title":"Secure Data Transmission in Smart Cities Using DNA Cryptography with LZW Compression Algorithm","authors":"S. Karthikeyan, T. Poongodi","doi":"10.3103/s875669902470016x","DOIUrl":null,"url":null,"abstract":"<h3 data-test=\"abstract-sub-heading\">Abstract</h3><p>Internet of Things (IoT) provides a vital atmosphere for a wide number of exciting applications in sustainable digital cities and societies, including additive factories, smart transportation, and smart industry. However, in a smart city environment, security measures may not be effective during data transmission. Data manipulation may result from the interchange of data between various devices, and transmission of unprocessed data may be particularly vulnerable to such manipulation attempts. In order to reduce data tampering, it is required to compress and encrypt the raw data and transmit it over the network to protect it from cyberattacks. In this research, the data is compressed by the LZW lossless compression algorithm and subsequently encrypted using DNA cryptography. Initially, the raw data are collected through various IoT devices. The raw data are compressed using LZW lossless compression algorithm. Compression is advantageous since it minimizes the amount of storage and transmission resources required. Through data compression, a smaller amount of bits are required for representing data. After compressing the data, the compressed data are encrypted using a DNA cryptography algorithm. DNA cryptography is used to encrypt compressed data for secure data transmission. After encryption, the encrypted data are secured within the cloud. The simulation assessment displays the suggested approach attains a 90<span>\\(\\%\\)</span> compression and encryption rate. This illustrates that the suggested approach performs better than current approaches already in use. Based on this proposed method, the transaction is executed securely to provide a secure smart city environment.</p>","PeriodicalId":44919,"journal":{"name":"Optoelectronics Instrumentation and Data Processing","volume":"152 1","pages":""},"PeriodicalIF":0.5000,"publicationDate":"2024-06-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Optoelectronics Instrumentation and Data Processing","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.3103/s875669902470016x","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q4","JCRName":"PHYSICS, MULTIDISCIPLINARY","Score":null,"Total":0}
引用次数: 0
Abstract
Internet of Things (IoT) provides a vital atmosphere for a wide number of exciting applications in sustainable digital cities and societies, including additive factories, smart transportation, and smart industry. However, in a smart city environment, security measures may not be effective during data transmission. Data manipulation may result from the interchange of data between various devices, and transmission of unprocessed data may be particularly vulnerable to such manipulation attempts. In order to reduce data tampering, it is required to compress and encrypt the raw data and transmit it over the network to protect it from cyberattacks. In this research, the data is compressed by the LZW lossless compression algorithm and subsequently encrypted using DNA cryptography. Initially, the raw data are collected through various IoT devices. The raw data are compressed using LZW lossless compression algorithm. Compression is advantageous since it minimizes the amount of storage and transmission resources required. Through data compression, a smaller amount of bits are required for representing data. After compressing the data, the compressed data are encrypted using a DNA cryptography algorithm. DNA cryptography is used to encrypt compressed data for secure data transmission. After encryption, the encrypted data are secured within the cloud. The simulation assessment displays the suggested approach attains a 90\(\%\) compression and encryption rate. This illustrates that the suggested approach performs better than current approaches already in use. Based on this proposed method, the transaction is executed securely to provide a secure smart city environment.
摘要物联网（IoT）为可持续发展的数字城市和社会中大量令人兴奋的应用提供了重要的氛围，其中包括快速成型工厂、智能交通和智能工业。然而，在智能城市环境中，数据传输过程中的安全措施可能并不有效。各种设备之间的数据交换可能会导致数据篡改，而未经处理的数据传输尤其容易受到此类篡改企图的影响。为了减少数据篡改，需要对原始数据进行压缩和加密，并通过网络传输，以防止网络攻击。在这项研究中，数据采用 LZW 无损压缩算法进行压缩，然后使用 DNA 密码学进行加密。首先，通过各种物联网设备收集原始数据。原始数据使用 LZW 无损压缩算法进行压缩。压缩的优势在于可以最大限度地减少所需的存储和传输资源。通过数据压缩，表示数据所需的比特数量更少。压缩数据后，使用 DNA 密码学算法对压缩数据进行加密。DNA 密码学用于加密压缩数据，以确保数据传输的安全性。加密后，加密数据在云中得到保护。模拟评估显示，所建议的方法达到了90（%）的压缩和加密率。这说明所建议的方法比目前已在使用的方法性能更好。基于这种建议的方法，交易可以安全地执行，从而提供一个安全的智慧城市环境。
期刊介绍：
The scope of Optoelectronics, Instrumentation and Data Processing encompasses, but is not restricted to, the following areas: analysis and synthesis of signals and images; artificial intelligence methods; automated measurement systems; physicotechnical foundations of micro- and optoelectronics; optical information technologies; systems and components; modelling in physicotechnical research; laser physics applications; computer networks and data transmission systems. The journal publishes original papers, reviews, and short communications in order to provide the widest possible coverage of latest research and development in its chosen field.
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