Implement DNN technology by using wireless sensor network system based on IOT applications

Hameed, Saif Saad; Abdulshaheed, Haider Rasheed; Ali, Zaydon L.; Gheni, Hassan Muwafaq

doi:10.21533/pen.v10i2.2831

Cited by 4 publications

(4 citation statements)

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“…The following equation for a signal's local features (SR) in an overcomplete vocabulary. The question of local features is to find a 𝑀1 vector vector x such that 𝑦 = 𝐴𝑥 and ||𝑥||0 is minimized [19], i.e. given a 𝑁 𝑀 matrix 𝐴 comprising the items of an over full vocabulary in its rows, with 𝑀 > 𝑁 and typically 𝑀 >> 𝑁, and a signal 𝑦 RN.…”

Section: The Proposed Methods 31 Image Encryption and Decryption 311 ...mentioning

confidence: 99%

A proposed model for text and image encryption using different ‎techniques

Shawkat‎‎

Al_Barazanchi

2022

TELKOMNIKA

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Data security and protection is one of the most common technologies used in the field of computer science. This is because of its great importance in all fields related to daily life, whether political, economic, and other aspects change. In this research paper, a new intelligent system that concentrates on image and text encryption and decryption is proposed. Furthermore, the image recognition rate is increased. In this paper, the Rivest Shamir Adleman 3 key (RSA3k) algorithm is used but in a new technique to encrypt and decrypt text. The proposed technique relies on using square root of public key as private key. XOR operation for colored images encryption and decryption is performed. By calculating signal to noise ratio (PSNR), mean square error (MSE), and bit error rate (BER), the most important things that we address how to provide data security for large data based on encryption techniques and increase the security of multimedia data and texture date and address the problem of time and accuracy in image matching. the results show that the quality of images after decryption is good.

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Section: The Proposed Methods 31 Image Encryption and Decryption 311 ...mentioning

confidence: 99%

A proposed model for text and image encryption using different ‎techniques

Shawkat‎‎

Al_Barazanchi

2022

TELKOMNIKA

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“…The authors of [ 23 ] developed a deep learning-based graph neural network and proposed a hybrid fixed-variant search method to conserve the energy of the sensors to extend the network lifespan of the WSN. In [ 24 ], the authors used DNN techniques in a WSN system for IoT-based applications, where customized deep learning techniques could detect intrusions in real time accurately. The authors of [ 25 ] introduced DNN algorithms into WSNs to promote link reliability in WSNs, where DNN algorithms were used to evaluate input parameters such as received bandwidth and delay.…”

Section: Related Workmentioning

confidence: 99%

Security Enhancement for Deep Reinforcement Learning-Based Strategy in Energy-Efficient Wireless Sensor Networks

Hu,

Han,

Wang

et al. 2024

Sensors

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Energy efficiency and security issues are the main concerns in wireless sensor networks (WSNs) because of limited energy resources and the broadcast nature of wireless communication. Therefore, how to improve the energy efficiency of WSNs while enhancing security performance has attracted widespread attention. In order to solve this problem, this paper proposes a new deep reinforcement learning (DRL)-based strategy, i.e., DeepNR strategy, to enhance the energy efficiency and security performance of WSN. Specifically, the proposed DeepNR strategy approximates the Q-value by designing a deep neural network (DNN) to adaptively learn the state information. It also designs DRL-based multi-level decision-making to learn and optimize the data transmission paths in real time, which eventually achieves accurate prediction and decision-making of the network. To further enhance security performance, the DeepNR strategy includes a defense mechanism that responds to detected attacks in real time to ensure the normal operation of the network. In addition, DeepNR adaptively adjusts its strategy to cope with changing network environments and attack patterns through deep learning models. Experimental results show that the proposed DeepNR outperforms the conventional methods, demonstrating a remarkable 30% improvement in network lifespan, a 25% increase in network data throughput, and a 20% enhancement in security measures.

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“…IoT applications require a method in the network layer to robust the lightweight sensor layer method for data chaos to achieve secure end-to-end connections, yielding integrated security in IoT components. The Diffie Hellman hypothesis has been suggested within the umbrella of cybersecurity to avoid security attacks on the network layer [19].…”

Section: Lightweight Cryptography In Iot Architecture Layersmentioning

confidence: 99%

A secure telemedicine electronic platform based on lightweight cryptographic approach

2022

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Telemedicine platforms have emerged as one of the most harnessed studies in recent years, especially after the spread of pandemics. Due to the epidemic, telemedicine distribution to rural or isolated areas has become an urgent need. However, there are several obstacles to providing remote medical care, the most significant of which is protecting patient data while sustaining the speed of communication between the patient and the medical staff. The significant of this study is to provides a lightweight encryption/decryption technique that uses on the internet of medical things in stance of bio-sensors and bio-actuators. This study is one of the cybersecurity approaches, such type of encryption has little effect on the speed of data transmission. The Diffie Hellman technique is used as a lightweight encryption method because it includes four encryption-keys. The efficiency of the proposed encryption method has been compared with several equivalent methods. According to experimental results, the proposed encryption method represents a lightweight and secure method which can accomplish the level of protection that required to secure medical information despite the data's disarray.

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Implement DNN technology by using wireless sensor network system based on IOT applications

Cited by 4 publications

References 0 publications

A proposed model for text and image encryption using different ‎techniques

A proposed model for text and image encryption using different ‎techniques

Security Enhancement for Deep Reinforcement Learning-Based Strategy in Energy-Efficient Wireless Sensor Networks

A secure telemedicine electronic platform based on lightweight cryptographic approach

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