Lightweight Scheme for Secure Signaling and Data Exchanges in Intelligent Precision Agriculture

Intelligent precision agriculture incorporates a number of Internet of Things (IoT) devices and drones to supervise agricultural activities and surroundings. The collected data are then forwarded to processing centers to facilitate crucial decisions. This can potentially help optimize the usage of a...

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Main Authors: Thekaa Ali Kadhim, Zaid Ameen Abduljabbar, Hamid Ali Abed AL-Asadi, Vincent Omollo Nyangaresi, Zahraa Abdullah Ali, Iman Qays Abduljaleel
Format: Article
Language:English
Published: MDPI AG 2025-01-01
Series:Cryptography
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Online Access:https://www.mdpi.com/2410-387X/9/1/7
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author Thekaa Ali Kadhim
Zaid Ameen Abduljabbar
Hamid Ali Abed AL-Asadi
Vincent Omollo Nyangaresi
Zahraa Abdullah Ali
Iman Qays Abduljaleel
author_facet Thekaa Ali Kadhim
Zaid Ameen Abduljabbar
Hamid Ali Abed AL-Asadi
Vincent Omollo Nyangaresi
Zahraa Abdullah Ali
Iman Qays Abduljaleel
author_sort Thekaa Ali Kadhim
collection DOAJ
description Intelligent precision agriculture incorporates a number of Internet of Things (IoT) devices and drones to supervise agricultural activities and surroundings. The collected data are then forwarded to processing centers to facilitate crucial decisions. This can potentially help optimize the usage of agricultural resources and thwart disasters, enhancing productivity and profitability. To facilitate monitoring and decision, the smart devices in precision agriculture must exchange massive amounts of data across the open wireless communication channels. This inadvertently introduces a number of vulnerabilities, exposing the collected data to numerous security and privacy threats. To address these issues, massive security solutions have been introduced to secure the communication process in precision agriculture. However, most of the current security solutions either fail to offer perfect protection or are inefficient. In this paper, a scheme deploying efficient cryptographic primitives such as hashing, exclusive OR and random number generators is presented. We utilize the Burrows–Abadi–Needham (BAN) logic to demonstrate the verifiable security of the negotiated session keys. In addition, we execute an extensive semantic analysis which reveals the robustness of our scheme against a myriad of threats. Moreover, comparative performance evaluations demonstrate its computation overheads and energy consumption efficiency.
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spelling doaj-art-b45f1b1d5839410b8d3480ff2e7ec98d2025-08-20T02:42:42ZengMDPI AGCryptography2410-387X2025-01-0191710.3390/cryptography9010007Lightweight Scheme for Secure Signaling and Data Exchanges in Intelligent Precision AgricultureThekaa Ali Kadhim0Zaid Ameen Abduljabbar1Hamid Ali Abed AL-Asadi2Vincent Omollo Nyangaresi3Zahraa Abdullah Ali4Iman Qays Abduljaleel5Department of Computer Science, College of Education for Pure Sciences, University of Basrah, Basrah 61004, IraqDepartment of Computer Science, College of Education for Pure Sciences, University of Basrah, Basrah 61004, IraqDepartment of Computer Science, College of Education for Pure Sciences, University of Basrah, Basrah 61004, IraqDepartment of Computer Science and Software Engineering, Jaramogi Oginga Odinga University of Science and Technology, Bondo 40601, KenyaDepartment of Cyber Security, Al-Kunooz University College, Basrah 61004, IraqDepartment of Computer Science, College of Education for Pure Sciences, University of Basrah, Basrah 61004, IraqIntelligent precision agriculture incorporates a number of Internet of Things (IoT) devices and drones to supervise agricultural activities and surroundings. The collected data are then forwarded to processing centers to facilitate crucial decisions. This can potentially help optimize the usage of agricultural resources and thwart disasters, enhancing productivity and profitability. To facilitate monitoring and decision, the smart devices in precision agriculture must exchange massive amounts of data across the open wireless communication channels. This inadvertently introduces a number of vulnerabilities, exposing the collected data to numerous security and privacy threats. To address these issues, massive security solutions have been introduced to secure the communication process in precision agriculture. However, most of the current security solutions either fail to offer perfect protection or are inefficient. In this paper, a scheme deploying efficient cryptographic primitives such as hashing, exclusive OR and random number generators is presented. We utilize the Burrows–Abadi–Needham (BAN) logic to demonstrate the verifiable security of the negotiated session keys. In addition, we execute an extensive semantic analysis which reveals the robustness of our scheme against a myriad of threats. Moreover, comparative performance evaluations demonstrate its computation overheads and energy consumption efficiency.https://www.mdpi.com/2410-387X/9/1/7precision agriculturesmart farmingsecurityprivacyattacksefficiency
spellingShingle Thekaa Ali Kadhim
Zaid Ameen Abduljabbar
Hamid Ali Abed AL-Asadi
Vincent Omollo Nyangaresi
Zahraa Abdullah Ali
Iman Qays Abduljaleel
Lightweight Scheme for Secure Signaling and Data Exchanges in Intelligent Precision Agriculture
Cryptography
precision agriculture
smart farming
security
privacy
attacks
efficiency
title Lightweight Scheme for Secure Signaling and Data Exchanges in Intelligent Precision Agriculture
title_full Lightweight Scheme for Secure Signaling and Data Exchanges in Intelligent Precision Agriculture
title_fullStr Lightweight Scheme for Secure Signaling and Data Exchanges in Intelligent Precision Agriculture
title_full_unstemmed Lightweight Scheme for Secure Signaling and Data Exchanges in Intelligent Precision Agriculture
title_short Lightweight Scheme for Secure Signaling and Data Exchanges in Intelligent Precision Agriculture
title_sort lightweight scheme for secure signaling and data exchanges in intelligent precision agriculture
topic precision agriculture
smart farming
security
privacy
attacks
efficiency
url https://www.mdpi.com/2410-387X/9/1/7
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