Detecting the Phishing Attack Using Collaborative Approach and Secure Login through Dynamic Virtual Passwords

Rahim, Robbi; Murugan, S. Sakthivel; Mostafa, Reham R.; Dubey, Anil Kumar; Regin, R.; Kulkarni, Vikram; Dhanalakshmi, Dr.K.S.

doi:10.14704/web/v17i2/web17049

Cited by 17 publications

(4 citation statements)

References 14 publications

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“…A = {bi€Rn} (7) where bj is the bias threshold of the j-th visible cell. Consider that the visible and hidden layers follow Bernoulli distribution; then, the order of (v,h) is represented as shown inEquation ( 8):…”

Section: Deep Q-learning-based Scheduling and Data Transmissionmentioning

confidence: 99%

“…The application layer combines the sources of medical data and offers medical services that satisfy the needs of the user on the basis of the current situation and demand. Privacy and security information related to patients isthe most essential concept in an IoT-based environment [7]. Data security can be achieved by securely storing and transferring data, ensuring integrity, authenticity, and validity.…”

Section: Introductionmentioning

confidence: 99%

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Deep Q-Learning-Based Neural Network with Privacy Preservation Method for Secure Data Transmission in Internet of Things (IoT) Healthcare Application

Kathamuthu¹,

Annadurai²,

Iruthayanathan³

et al. 2022

Electronics

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The healthcare industry is being transformed by the Internet of Things (IoT), as it provides wide connectivity among physicians, medical devices, clinical and nursing staff, and patients to simplify the task of real-time monitoring. As the network is vast and heterogeneous, opportunities and challenges are presented in gathering and sharing information. Focusing on patient information such as health status, medical devices used by such patients must be protected to ensure safety and privacy. Healthcare information is confidentially shared among experts for analyzing healthcare and to provide treatment on time for patients. Cryptographic and biometric systems are widely used, including deep-learning (DL) techniques to authenticate and detect anomalies, andprovide security for medical systems. As sensors in the network are energy-restricted devices, security and efficiency must be balanced, which is the most important concept to be considered while deploying a security system based on deep-learning approaches. Hence, in this work, an innovative framework, the deep Q-learning-based neural network with privacy preservation method (DQ-NNPP), was designed to protect data transmission from external threats with less encryption and decryption time. This method is used to process patient data, which reduces network traffic. This process also reduces the cost and error of communication. Comparatively, the proposed model outperformed some standard approaches, such as thesecure and anonymous biometric based user authentication scheme (SAB-UAS), MSCryptoNet, and privacy-preserving disease prediction (PPDP). Specifically, the proposed method achieved accuracy of 93.74%, sensitivity of 92%, specificity of 92.1%, communication overhead of 67.08%, 58.72 ms encryption time, and 62.72 ms decryption time.

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Section: Deep Q-learning-based Scheduling and Data Transmissionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Deep Q-Learning-Based Neural Network with Privacy Preservation Method for Secure Data Transmission in Internet of Things (IoT) Healthcare Application

Kathamuthu¹,

Annadurai²,

Iruthayanathan³

et al. 2022

Electronics

View full text Add to dashboard Cite

show abstract

“…The evaluation of the belongings of SSSC type regulator is verified when it is presented to an symmetrical fault on transmission line (Kanaga, 2021). A partial request corresponding regulator type UPFC is examined to moist out sub concurrent movements in generator shaft owing to SSR Rahim, 2020;Ranjeeth, 2019).…”

Section: Introductionmentioning

confidence: 99%

Chicken Swarm Optimization based PV-STATCOM for Power Compensation in Hybrid PV/WT System

Sudarsan¹

2021

TURCOMAT

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Today’s the Energy changes like air contamination and a dangerous atmospheric deviation are increases. To direct these troubles the sustainable power sources are presented. PV ranch generate power throughout daytime and totally latent for the period of nighttime. During daytime the inverter is used for authentic power creation and for the period of night-time it is used to satisfy the need. For the examination of PV-STATCOM it is anticipated with calculation, such as The CSO calculation is utilized to accomplish the organize of parameters like voltage, current, and Powers. The Control Strategies are endorsed through MATLAB/Simulink Platform So as to assess the convenience of the projected strategy, this is contrasted with the possible technique like PSO method.

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“…The counterfeit website looks similar to the original, so the user submits his login details freely. Suitable antiphishing software [37,38] is a good countermeasure. It can detect suspicious emails and also has a database of suspected websites.…”

mentioning

confidence: 99%

IoT Security Challenges: Cloud and Blockchain, Postquantum Cryptography, and Evolutionary Techniques

et al. 2021

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Internet of Things connects the physical and cybernetic world. As such, security issues of IoT devices are especially damaging and need to be addressed. In this treatise, we overview current security issues of IoT with the perspective of future threats. We identify three main trends that need to be specifically addressed: security issues of the integration of IoT with cloud and blockchains, the rapid changes in cryptography due to quantum computing, and finally the rise of artificial intelligence and evolution methods in the scope of security of IoT. We give an overview of the identified threats and propose solutions for securing the IoT in the future.

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Detecting the Phishing Attack Using Collaborative Approach and Secure Login through Dynamic Virtual Passwords

Cited by 17 publications

References 14 publications

Deep Q-Learning-Based Neural Network with Privacy Preservation Method for Secure Data Transmission in Internet of Things (IoT) Healthcare Application

Deep Q-Learning-Based Neural Network with Privacy Preservation Method for Secure Data Transmission in Internet of Things (IoT) Healthcare Application

Chicken Swarm Optimization based PV-STATCOM for Power Compensation in Hybrid PV/WT System

IoT Security Challenges: Cloud and Blockchain, Postquantum Cryptography, and Evolutionary Techniques

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