Efficient lightweight cryptography for resource-constrained WSN nodes

被引:0
|
作者
Sable, Nilesh P. [1 ]
Rathod, Vijay U. [2 ]
Parlewar, Pallavi [3 ]
Rathod, Smita B. [4 ]
机构
[1] Bansilal Ramnath Agarwal Charitable Trusts Vishwa, Dept Comp Sci & Engn Artificial Intelligence, Pune, Maharashtra, India
[2] GH Raisoni Coll Engn & Management Wagholi Pune, Dept Artificial Intelligence & Machine Learning, Pune, Maharashtra, India
[3] Shri Ramdeobaba Coll Engn & Management, Dept Elect & Commun Engn, Nagpur, Maharashtra, India
[4] Shri Guru Gobind Singhji Inst Engn & Technol SGGS, Nanded, Maharashtra, India
关键词
Lightweight cryptography; Modified RC5; Avalanche effect; Overhead consumption;
D O I
10.47974/JDMSC-1888
中图分类号
O29 [应用数学];
学科分类号
070104 ;
摘要
In Wireless Sensor Networks (WSN), where resources are scarce, lightweight cryptography is crucial and difficult. The Constrained Application Protocol (CoAP), Field-Programmable Gate Array (FPGA) technology, and a modified RC5 algorithm are used in this study to achieve efficient encryption for WSN nodes. WSN are essential for monitoring temperature, humidity, vibrations, and seismic activity. However, processing capacity, memory, and energy constraints make data security difficult in these networks. CoAP, FPGA, and a modified RC5 algorithm provide security, computational load reduction, and energy efficiency in resource-limited WSN. This research is crucial because it creates cryptographic mechanisms that accommodate WSN unique needs. By protecting data integrity and confidentiality, these mechanisms ensure data transmission security and privacy. Data security and efficiency in WSN require innovative cryptographic, FPGA-based hardware acceleration, and protocol optimization solutions. These methods could improve these vital sensing networks. This research lays the foundation for protecting the accuracy and security of WSN node data collected and transmitted with limited resources while optimizing resource allocation.
引用
收藏
页码:349 / 359
页数:11
相关论文
共 50 条
  • [31] Lightweight Management of Resource-Constrained Sensor Devices in Internet of Things
    Sheng, Zhengguo
    Wang, Hao
    Yin, Changchuan
    Hu, Xiping
    Yang, Shusen
    Leung, Victor C. M.
    IEEE INTERNET OF THINGS JOURNAL, 2015, 2 (05): : 402 - 411
  • [32] A Review of Lightweight Security and Privacy for Resource-Constrained IoT Devices
    Kumar, Sunil
    Kumar, Dilip
    Dangi, Ramraj
    Choudhary, Gaurav
    Dragoni, Nicola
    You, Ilsun
    CMC-COMPUTERS MATERIALS & CONTINUA, 2024, 78 (01): : 31 - 63
  • [33] LIGHTWEIGHT INTRUSION DETECTION FOR RESOURCE-CONSTRAINED EMBEDDED CONTROL SYSTEMS
    Reeves, Jason
    Ramaswamy, Ashwin
    Locasto, Michael
    Bratus, Sergey
    Smith, Sean
    CRITICAL INFRASTRUCTURE PROTECTION V, 2011, 367 : 31 - 46
  • [34] Lightweight Stream Cipher Scheme for Resource-Constrained IoT Devices
    Noura, Hassan
    Couturier, Raphael
    Pham, Congduc
    Chehab, Ali
    2019 INTERNATIONAL CONFERENCE ON WIRELESS AND MOBILE COMPUTING, NETWORKING AND COMMUNICATIONS (WIMOB), 2019,
  • [35] A lightweight secure cyber foraging infrastructure for resource-constrained devices
    Goyal, S
    Carter, J
    SIXTH IEEE WORKSHOP ON MOBILE COMPUTING SYSTEMS AND APPLICATIONS, PROCEEDINGS, 2004, : 186 - 195
  • [36] Lightweight block ciphers for resource-constrained environments: A comprehensive survey
    Zhong, Yue
    Gu, Jieming
    FUTURE GENERATION COMPUTER SYSTEMS-THE INTERNATIONAL JOURNAL OF ESCIENCE, 2024, 157 : 288 - 302
  • [37] An Effective Lightweight Cryptographic Algorithm to Secure Resource-Constrained Devices
    Rana, Sohel
    Hossain, Saddam
    Shoun, Hasan Imam
    Abul Kashem, Mohammod
    INTERNATIONAL JOURNAL OF ADVANCED COMPUTER SCIENCE AND APPLICATIONS, 2018, 9 (11) : 267 - 275
  • [38] Guest Editors' Introduction: Intelligent Resource-Constrained Sensor Nodes
    Sen, Shreyas
    Raychowdhury, Arijit
    Lu, Shih-Lien L.
    IEEE DESIGN & TEST, 2019, 36 (02) : 5 - 6
  • [39] EfficientMaize: A Lightweight Dataset for Maize Classification on Resource-Constrained Devices
    Asante, Emmanuel
    Appiah, Obed
    Appiahene, Peter
    Adu, Kwabena
    DATA IN BRIEF, 2024, 54
  • [40] A Lightweight Network Discovery Algorithm for Resource-constrained IoT Devices
    Gaglio, Salvatore
    Lo Re, Giuseppe
    Martorella, Gloria
    Peri, Daniele
    2019 INTERNATIONAL CONFERENCE ON COMPUTING, NETWORKING AND COMMUNICATIONS (ICNC), 2019, : 355 - 359