Design a system for an approved video copyright over cloud based on biometric iris and random walk generator using watermark technique

Azeez, Raghad Abdulaali; Abdul-Hussein, Mohammad K.; Mahdi, Mohammed Salih; Alrikabi, Haider Th.Salim

doi:10.21533/pen.v10i1.2577

Cited by 45 publications

(47 citation statements)

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“…The framework of Keras with TensorFlow engine [25] is used in designing the proposed method. The approved experiences in defense and security applications were also taken into consideration in [26]- [31]. In Figure (5), the accuracy performance over the used epochs for the proposed CNN-LSTM method is drawn.…”

Section: Resultsmentioning

confidence: 99%

Deep learning model for cyber-attacks detection method in wireless sensor networks

Naser¹,

Ali²,

Al‐Jumeily³

2022

PEN

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Nowadays, electronic applications are being adopted instead of many traditional processes in data and information management that use Internet technology as a transmission medium. Therefore, these data and information suffer from different types of attacks that aim to destroy or steal them. One of these attacks is the cyber classification that can halt the whole system. In this paper, a cyber-attacks detector method is proposed based on deep learning technology for Wireless Sensor Network (WSN). This method adopts the behavior of the WSN's nodes as well as the data transmission that depends on the MQTT protocol. The use of the deep learning model in this method improves the detection accuracy compared to traditional machine learning methods. The results demonstrate the efficiency of using the combination of deep learning CNN-LSTM techniques to be 96.02% in training accuracy and 95.08% for validation accuracy depending on the dataset of [1]. The machine learning model in [1] obtains an accuracy between 87% and 91% for the augmented dataset processes.

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Section: Resultsmentioning

confidence: 99%

Deep learning model for cyber-attacks detection method in wireless sensor networks

Naser¹,

Ali²,

Al‐Jumeily³

2022

PEN

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“…In the field of education, blockchain is being used for various educational applications. The main benefits of using blockchain to support education include reductions in latency time and the cost of sharing data in a controlled environment [9][10][11]. The contributions of this paper may be considered as three aspects.…”

Section: Introductionmentioning

confidence: 99%

Blockchain-based student certificate management and system sharing using hyperledger fabric platform

Ghani¹,

Salman²,

Khudhair³

et al. 2022

PEN

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One of the major capabilities of blockchain technology is the sharing of data in verifiable ways without losing control of information possession. Issuing and verifying student certifications for higher study applications or job recruitment require many steps that take days to complete and are considered time-consuming. Most universities around the world use centralized systems to control the entire procedure when a graduate applies for a job or postgraduate studies. Applying blockchain technology to certificate verification protocols through a comprehensive architecture provides authenticity and reduces time significantly. In this paper, a framework has been proposed to issue student certifications locally in addition to sharing them across the internet while maintaining control and ownership of the certifications. This framework leverages the advantages of blockchain technology to electronic certification sharing and verification. Applying the proposed blockchainbased certification system in universities will provide low latency for issuing, sharing, and verification of these certifications. The paper presents the proposed blockchain-based framework for e-certification sharing and an evaluation of the framework, which consists of measuring the average time to issue a certificate and transaction latency time.

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“…A number of prior studies have presented a space vector pulse width modulation (SVPWM) algorithm with a field-oriented control (FOC) technique, applied to PMSM drives, and many researchers employed PI controllers for speed and current control [1][2][3][4][5][6][7][8][9]. Although the PID controller is commonly used in practical applications, but in the last decade, fractional calculus has been applied in an increasing number of fields, namely in the area of control theory [10][11][12][13][14][15][16]. To achieve the optimization in this research work, the model of PMSM has been built in MATLAB/ Simulink, the SVPWM technique simulated using Fractional Order (P𝐈 𝛌 𝐃 𝛍 ) (FOPID) controller for speed and current control.…”

Section: Introductionmentioning

confidence: 99%

The control of permanent magnet synchronous motor drive based on the space vector pulse width modulation and fractional order PID controller

Lazim¹,

Alwan²,

AL-NUSSAIRI³

et al. 2022

PEN

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This study explains a new way to speed control for PMSMs based on the FOC and SVPWM techniques employed in the building of the permanent magnet synchronous motors (PMSMs). When it comes to current control, two inner and one outside feedback loops were used. Feedback control with FOPID controllers is used to optimize the performance of PMSM motor design. FOPID parameters were optimized using genetic algorithms in MATLAB/Simulink simulations. Good dynamic and static qualities are demonstrated through simulation results. There is also a comparison of PMSM PID and FOPID controllers included.

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Design a system for an approved video copyright over cloud based on biometric iris and random walk generator using watermark technique

Cited by 45 publications

References 0 publications

Deep learning model for cyber-attacks detection method in wireless sensor networks

Deep learning model for cyber-attacks detection method in wireless sensor networks

Blockchain-based student certificate management and system sharing using hyperledger fabric platform

The control of permanent magnet synchronous motor drive based on the space vector pulse width modulation and fractional order PID controller

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