• 文献检索
  • 文档翻译
  • 深度研究
  • 学术资讯
  • Suppr Zotero 插件Zotero 插件
  • 邀请有礼
  • 套餐&价格
  • 历史记录
应用&插件
Suppr Zotero 插件Zotero 插件浏览器插件Mac 客户端Windows 客户端微信小程序
定价
高级版会员购买积分包购买API积分包
服务
文献检索文档翻译深度研究API 文档MCP 服务
关于我们
关于 Suppr公司介绍联系我们用户协议隐私条款
关注我们

Suppr 超能文献

核心技术专利:CN118964589B侵权必究
粤ICP备2023148730 号-1Suppr @ 2026

文献检索

告别复杂PubMed语法,用中文像聊天一样搜索,搜遍4000万医学文献。AI智能推荐,让科研检索更轻松。

立即免费搜索

文件翻译

保留排版,准确专业,支持PDF/Word/PPT等文件格式,支持 12+语言互译。

免费翻译文档

深度研究

AI帮你快速写综述,25分钟生成高质量综述,智能提取关键信息,辅助科研写作。

立即免费体验

使用基于DNA的轻量级加密系统增强物联网安全性。

Enhancing IoT security with a DNA-based lightweight cryptography system.

作者信息

Aqeel Sehrish, Khan Adnan Shahid, Abbasi Irshad Ahmed, Algarni Fahad, Grzonka Daniel

机构信息

Department of Computer Science and Information Technology, Universiti Malaysia Sarawak, 94300, Kota Samarahan, Malaysia.

Department of Computer Science, University of South Asia, Lahore, Pakistan.

出版信息

Sci Rep. 2025 Apr 17;15(1):13367. doi: 10.1038/s41598-025-96292-0.

DOI:10.1038/s41598-025-96292-0
PMID:40247013
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC12006359/
Abstract

The rapid increase of internet of things (IoT) devices in our daily lives has highlighted the critical need for strong security measures to protect the integrity and confidentiality of IoT communications. This paper presents a novel solution to this growing problem using a secure and lightweight DNA-based encryption method, elliptic curve encryption (ECC), to secure IoT communications. The research explains how DNA-LWCS (DNA-based lightweight cryptography system) utilizes basic encryption methods to secure data transmission against system complexity while maintaining security effectiveness. The security key ensures enough protection for achieving the necessary level of confidentiality. Three fundamental keys are extracted from publicly accessible DNA sequences to start the procedure during its first phase. When employed together with ECC these keys generate a private key during the second stage of development. During the second stage the keys generate a private key based on ECC (elliptic curve cryptography) protocol. The encryption and decryption of IoT device messages requires this private key during the last operational phase. The combination of intuitive DNA sequences together with ECC generates better security and decreases the strain on systems. Practical evaluations demonstrate that the proposed encryption method offers better security and efficiency compared to existing methods while maintaining weightless operational performance. This makes it an ideal solution to secure IoT data exchange. The encryption method we investigated received detailed study which focused on both security and efficiency criteria during our research timeframe. The research demonstrates our security method outperforms other solutions by maintaining low resource requirements. Our proposed DNA-based encryption system shows potential as a suitable security measure for protecting IoT connections through its lightweight design capabilities.

摘要

物联网(IoT)设备在我们日常生活中的迅速增加凸显了采取强有力的安全措施来保护物联网通信的完整性和保密性的迫切需求。本文提出了一种新颖的解决方案来应对这一日益严重的问题,即使用一种安全且轻量级的基于DNA的加密方法——椭圆曲线加密(ECC)来保障物联网通信安全。该研究解释了基于DNA的轻量级密码系统(DNA-LWCS)如何利用基本加密方法在保持安全有效性的同时,针对系统复杂性来保障数据传输安全。安全密钥确保了足够的保护,以实现必要的保密级别。在其第一阶段,从公开可获取的DNA序列中提取三个基本密钥来启动该过程。在开发的第二阶段,当与ECC一起使用时,这些密钥会生成一个私钥。在最后一个操作阶段,物联网设备消息的加密和解密需要这个私钥。直观的DNA序列与ECC相结合可产生更好的安全性,并减轻系统负担。实际评估表明,与现有方法相比,所提出的加密方法在保持轻量级操作性能的同时,提供了更好的安全性和效率。这使其成为保障物联网数据交换的理想解决方案。在我们的研究期间,对我们所研究的加密方法进行了详细研究,该研究聚焦于安全性和效率标准。该研究表明,我们的安全方法通过保持低资源需求而优于其他解决方案。我们提出的基于DNA的加密系统通过其轻量级设计能力,显示出作为保护物联网连接的合适安全措施的潜力。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/089e/12006359/b84836d4945a/41598_2025_96292_Fig13_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/089e/12006359/e26e7373a452/41598_2025_96292_Fig1_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/089e/12006359/f36deb793c84/41598_2025_96292_Fig2_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/089e/12006359/c41741318f01/41598_2025_96292_Fig3_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/089e/12006359/e660731adedb/41598_2025_96292_Fig4_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/089e/12006359/b959efd7fdac/41598_2025_96292_Fig5_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/089e/12006359/974e66db8c97/41598_2025_96292_Fig6_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/089e/12006359/295fdf5d198f/41598_2025_96292_Fig7_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/089e/12006359/687576d8a9da/41598_2025_96292_Figa_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/089e/12006359/ae9e53c2205f/41598_2025_96292_Figb_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/089e/12006359/18f19d199bdb/41598_2025_96292_Figc_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/089e/12006359/6c282012b0ba/41598_2025_96292_Figd_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/089e/12006359/8664944630dc/41598_2025_96292_Fige_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/089e/12006359/0f585176d48b/41598_2025_96292_Figf_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/089e/12006359/e1196d78be00/41598_2025_96292_Fig8_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/089e/12006359/8d03c981fe55/41598_2025_96292_Fig9_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/089e/12006359/c96da9635366/41598_2025_96292_Fig10_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/089e/12006359/4373ad212e22/41598_2025_96292_Fig11_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/089e/12006359/e3cf8c97a50a/41598_2025_96292_Fig12_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/089e/12006359/b84836d4945a/41598_2025_96292_Fig13_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/089e/12006359/e26e7373a452/41598_2025_96292_Fig1_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/089e/12006359/f36deb793c84/41598_2025_96292_Fig2_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/089e/12006359/c41741318f01/41598_2025_96292_Fig3_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/089e/12006359/e660731adedb/41598_2025_96292_Fig4_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/089e/12006359/b959efd7fdac/41598_2025_96292_Fig5_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/089e/12006359/974e66db8c97/41598_2025_96292_Fig6_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/089e/12006359/295fdf5d198f/41598_2025_96292_Fig7_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/089e/12006359/687576d8a9da/41598_2025_96292_Figa_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/089e/12006359/ae9e53c2205f/41598_2025_96292_Figb_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/089e/12006359/18f19d199bdb/41598_2025_96292_Figc_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/089e/12006359/6c282012b0ba/41598_2025_96292_Figd_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/089e/12006359/8664944630dc/41598_2025_96292_Fige_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/089e/12006359/0f585176d48b/41598_2025_96292_Figf_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/089e/12006359/e1196d78be00/41598_2025_96292_Fig8_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/089e/12006359/8d03c981fe55/41598_2025_96292_Fig9_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/089e/12006359/c96da9635366/41598_2025_96292_Fig10_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/089e/12006359/4373ad212e22/41598_2025_96292_Fig11_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/089e/12006359/e3cf8c97a50a/41598_2025_96292_Fig12_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/089e/12006359/b84836d4945a/41598_2025_96292_Fig13_HTML.jpg

相似文献

1
Enhancing IoT security with a DNA-based lightweight cryptography system.使用基于DNA的轻量级加密系统增强物联网安全性。
Sci Rep. 2025 Apr 17;15(1):13367. doi: 10.1038/s41598-025-96292-0.
2
A Secure and Efficient ECC-Based Scheme for Edge Computing and Internet of Things.一种用于边缘计算和物联网的基于椭圆曲线密码体制的安全高效方案。
Sensors (Basel). 2020 Oct 29;20(21):6158. doi: 10.3390/s20216158.
3
Securing healthcare data: A federated learning framework with hybrid encryption in cluster environments.保护医疗保健数据:一种在集群环境中采用混合加密的联邦学习框架。
Technol Health Care. 2025 May;33(3):1232-1257. doi: 10.1177/09287329241291397. Epub 2024 Nov 25.
4
Compressive sensing based secure data aggregation scheme for IoT based WSN applications.基于压缩感知的物联网无线传感器网络应用中安全数据聚合方案。
PLoS One. 2021 Dec 16;16(12):e0260634. doi: 10.1371/journal.pone.0260634. eCollection 2021.
5
Integrating meta-heuristic with named data networking for secure edge computing in IoT enabled healthcare monitoring system.将元启发式与命名数据网络集成到物联网支持的医疗保健监测系统中的安全边缘计算中。
Sci Rep. 2024 Sep 15;14(1):21532. doi: 10.1038/s41598-024-71506-z.
6
Lightweight Payload Encryption-Based Authentication Scheme for Advanced Metering Infrastructure Sensor Networks.基于轻量级有效负载加密的高级计量基础设施传感器网络认证方案。
Sensors (Basel). 2022 Jan 11;22(2):534. doi: 10.3390/s22020534.
7
IoT-Based Multi-Sensor Healthcare Architectures and a Lightweight-Based Privacy Scheme.基于物联网的多传感器医疗保健架构和基于轻量级的隐私方案。
Sensors (Basel). 2022 Jun 3;22(11):4269. doi: 10.3390/s22114269.
8
A Provably Secure IBE Transformation Model for PKC Using Conformable Chebyshev Chaotic Maps under Human-Centered IoT Environments.基于符合型 Chebyshev 混沌映射的面向以人为中心的物联网环境的 PKC 的可证明安全 IBE 转换模型。
Sensors (Basel). 2021 Oct 30;21(21):7227. doi: 10.3390/s21217227.
9
Machine learning cryptography methods for IoT in healthcare.机器学习加密方法在医疗保健物联网中的应用。
BMC Med Inform Decis Mak. 2024 Jun 4;24(1):153. doi: 10.1186/s12911-024-02548-6.
10
A secure remote user authentication scheme for 6LoWPAN-based Internet of Things.基于 6LoWPAN 的物联网的安全远程用户认证方案。
PLoS One. 2021 Nov 8;16(11):e0258279. doi: 10.1371/journal.pone.0258279. eCollection 2021.

引用本文的文献

1
A high-entropy image encryption scheme using optimized chaotic maps with Josephus permutation strategy.一种使用优化混沌映射和约瑟夫环排列策略的高熵图像加密方案。
Sci Rep. 2025 Aug 11;15(1):29439. doi: 10.1038/s41598-025-14784-5.

本文引用的文献

1
DNA encoding schemes herald a new age in cybersecurity for safeguarding digital assets.DNA 编码方案为保护数字资产的网络安全开创了一个新时代。
Sci Rep. 2024 Jun 15;14(1):13839. doi: 10.1038/s41598-024-64419-4.
2
RSM analysis based cloud access security broker: a systematic literature review.基于响应曲面法分析的云访问安全代理:一项系统的文献综述。
Cluster Comput. 2022;25(5):3733-3763. doi: 10.1007/s10586-022-03598-z. Epub 2022 May 11.
3
HD-Code: End-to-End High Density Code for DNA Storage.HD-Code:用于 DNA 存储的端到端高密度编码。
IEEE Trans Nanobioscience. 2021 Oct;20(4):455-463. doi: 10.1109/TNB.2021.3102122. Epub 2021 Sep 30.
4
COVID-19 outbreak in Malaysia: Decoding D614G mutation of SARS-CoV-2 virus isolated from an asymptomatic case in Pahang.马来西亚的COVID-19疫情:解读从彭亨州一名无症状病例中分离出的SARS-CoV-2病毒的D614G突变
Mater Today Proc. 2022;48:828-836. doi: 10.1016/j.matpr.2021.02.387. Epub 2021 Feb 27.
5
Encryption Algorithm Based on DNA Strand Displacement and DNA Sequence Operation.基于 DNA 链置换和 DNA 序列操作的加密算法。
IEEE Trans Nanobioscience. 2021 Apr;20(2):223-234. doi: 10.1109/TNB.2021.3058399. Epub 2021 Mar 31.
6
Secure Image Encryption Algorithm Based on Hyperchaos and Dynamic DNA Coding.基于超混沌和动态DNA编码的安全图像加密算法
Entropy (Basel). 2020 Jul 15;22(7):772. doi: 10.3390/e22070772.
7
Encoding scheme for data storage and retrieval on DNA computers.DNA 计算机的数据存储和检索编码方案。
IET Nanobiotechnol. 2020 Sep;14(7):635-641. doi: 10.1049/iet-nbt.2020.0157.
8
DNA-SeAl: Sensitivity Levels to Optimize the Performance of Privacy-Preserving DNA Alignment.DNA-SeAl:优化隐私保护 DNA 比对性能的灵敏度水平。
IEEE J Biomed Health Inform. 2020 Mar;24(3):907-915. doi: 10.1109/JBHI.2019.2914952. Epub 2019 Jun 28.
9
Prediction of DNA-Binding Residues in Local Segments of Protein Sequences with Fuzzy Cognitive Maps.基于模糊认知图的蛋白质序列局部片段 DNA 结合残基预测。
IEEE/ACM Trans Comput Biol Bioinform. 2020 Jul-Aug;17(4):1372-1382. doi: 10.1109/TCBB.2018.2890261. Epub 2018 Dec 28.
10
Digital PCR modeling for maximal sensitivity, dynamic range and measurement precision.数字 PCR 模型用于实现最大灵敏度、动态范围和测量精度。
PLoS One. 2015 Mar 25;10(3):e0118833. doi: 10.1371/journal.pone.0118833. eCollection 2015.