A Secure IoT-Based Irrigation System for Precision Agriculture Using the Expeditious Cipher

Sensors, Год журнала: 2023, Номер 23(4), С. 2091 - 2091

Опубликована: Фев. 13, 2023

Due to the recent advances in domain of smart agriculture as a result integrating traditional and latest information technologies including Internet Things (IoT), cloud computing, artificial intelligence (AI), there is an urgent need address security-related issues challenges this field. In article, we propose integration lightweight cryptography techniques into IoT ecosystem for meet requirements resource-constrained devices. Moreover, investigate adoption encryption protocol, namely, Expeditious Cipher (X-cipher), create secure channel between sensing layer broker Message Queue Telemetry Transport (MQTT) protocol well its subscribers. Our case study focuses on irrigation systems, MQTT deployed application messaging these systems. Smart strives decrease misuse natural resources by enhancing efficiency agricultural irrigation. This utilized eliminate main security threat precision protecting sensors’ published data from eavesdropping theft, unauthorized changes sensitive that can negatively impact crops’ development. addition, protects decisions made analytics (DA) entity regarding time quantity water returned actuators any alteration. Performance evaluation our chosen revealed improvement terms power consumption, execution time, required memory usage when compared with Advanced Encryption Standard (AES). selected outperforms PRESENT throughput usage.

Язык: Английский

---

Dependent task offloading with deadline-aware scheduling in mobile edge networks

Internet of Things, Год журнала: 2023, Номер 23, С. 100868 - 100868

Опубликована: Июль 5, 2023

Язык: Английский

---

Trust-based decentralized blockchain system with machine learning using Internet of agriculture things

Computers & Electrical Engineering, Год журнала: 2023, Номер 108, С. 108674 - 108674

Опубликована: Март 22, 2023

The growth of Internet Agriculture Things (IoAT) with wireless technologies has resulted in significant advances for smart farming systems.However, various techniques have been presented to predict the soil and crop conditions.Nonetheless providing a quality-enabled autonomous system is one important research challenges.Furthermore, event network overloading, most existing work needs help handle trustworthy communication.As result, this paper proposes optimization model develop reliable quality-aware sustainable agriculture using machine learning.Firstly, proposed utilizes intelligent devices automate data collection transmission.It analyzes independent performance variables support consistent decision-making process forwarding scheme.Secondly, investigated blockchain-based security principles integrating trusted reduce communication interference.The validated through simulations, numerous experiments demonstrated its efficacy regarding parameters.

Язык: Английский

---

Survey of Intelligent Agricultural IoT Based on 5G

Electronics, Год журнала: 2023, Номер 12(10), С. 2336 - 2336

Опубликована: Май 22, 2023

In the future, agriculture will face need for increasing production, sustainability, wisdom, and efficiency, which bring significant challenges to development of modern agriculture. With gradual popularization 5G, advanced information technologies such as Internet Things artificial intelligence promoted evolution intelligent The 5G-based play an essential role in smart This paper investigates research progress 5G It sorts out status recent years. Following that, concept is put forward. expounds on connotation, architecture, enabling key technologies. According application scenarios agriculture, practical cases are presented, trend value shown, future direction Firstly, distinguished, category summarized. current review 5G-IoT analyzed. focuses analysis summary changes brought by various analyzes related challenges, puts forward some scientific problems, summarizes ideas. Finally, shown. also proposed.

Язык: Английский

---

Malicious detection model with artificial neural network in IoT-based smart farming security

Cluster Computing, Год журнала: 2024, Номер 27(6), С. 7307 - 7322

Опубликована: Март 22, 2024

Язык: Английский

---