Search Results - (( some application ((use algorithm) OR (rsa algorithm)) ) OR ( _ application learning algorithm ))

Cryptanalytic attacks on Rivest, Shamir, and Adleman (RSA) cryptosystem: issues and challenges by Abubakar, Adamu, Jabaka, Shehu, Tijani, Bello Idrith, Zeki, Akram M., Chiroma, Haruna, Usman, Mohammed Joda, Raji, Shakirat, Mahmud, Murni

“…Generally RSA algorithm gain a security support because of it’s frequently use in most applications where security of digital data is mostly a concern. …”
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Class binarization with self-adaptive algorithm to improve human activity recognition by Zainudin, Muhammad Noorazlan Shah

“…Therefore, feature selection using Relief-f with self-adaptive Differential Evolution (rsaDE) algorithm is proposed to select the most significant features. …”
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Introducing S-index into factoring RSA modulus via Lucas sequences by Abu, Nur Azman, Salim, Fadzilah, Kamel Ariffin, Muhammad Rezal

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Comparison between RSA hardware and software implementation for WSNs sexcurity schemes by Md. Tap, Abu Osman, Manttoro, Teddy, Alkalbani, Abdullah Said

“…In this study we compare the time complexity and power consumption between software and hardware implementation using RSA algorithm. Our simulation shows that usage of hardware security could improve time efficiency and decrease the power consumption, so the strong cryptography can be implemented in WSNs security.…”
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New Lightweight Identity Based Encryption Algorithm for Mobile Device: Preliminary Study by Norhidayah, Muhammad, Jasni, Mohamad Zain, Md Yazid, Mohd Saman

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Text encryption using Elliptic Curve Cryptography (ECC) over binary finite field and Elgamal Cryptosyste / Ahmad Asif Bakhtiar Noor Noor Hamid, Nor Syazwani Nor Zailan and Syaza Fa... by Noor Hamid, Ahmad Asif Bakhtiar Noor, Nor Zailan, Nor Syazwani, Ishak, Syaza Farlisa

“…Cryptography consists of some algorithms but the most common algorithms that had been used are Elliptic Curve Cyptography (ECC) and Rivest-Shamir-Adleman (RSA). …”
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Three-term backpropagation algorithm for classification problem by Saman, Fadhlina Izzah

“…Standard Backpropagation Algorithm (BP) is a widely used algorithm in training Neural Network that is proven to be very successful in many diverse application. …”
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A modified generalized RBF model with EM-based learning algorithm for medical applications by Ma, Li Ya, Abdul Rahman, Abdul Wahab, Quek, Chai

“…An EM-based training algorithm is also introduced, which uses fewer parameters compared to some classical supervised learning methods. …”
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Early detection of dengue disease using extreme learning machine by Suhaeri, Suhaeri, Mohd Nawi, Nazri, Fathurahman, Muhamad

“…The back propagation neural network is one of the popular machine learning technique that capable of learning some complex relationship and had been used in many applications. …”
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A true random number generator for crypto embedded systems by M.Thamrin, Norashikin, Ahmad, Illiasaak, Hani, Mohamed Khalil

“…Random number generators (RNG) are required to generate public/private key pairs for asymmetric algorithm such as RSA and symmetric algorithm such as AES. …”
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An automated strabismus classification using machine learning algorithm for binocular vision management system by Rohismadi, Muhammad Amirul Isyraf, Mat Raffei, Anis Farihan, Zulkifli, Nor Saradatul Akmar, Ithnin, Mohd. Hafidz, Othman, Shah Farez

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Advances of metaheuristic algorithms in training neural networks for industrial applications by Chong H.Y., Yap H.J., Tan S.C., Yap K.S., Wong S.Y.

“…Backpropagation; Gradient methods; Neural networks; Artificial neural network models; Complex applications; Exploration and exploitation; Gradient-based learning; Industry applications; Meta heuristic algorithm; Meta-heuristic search algorithms; Near-optimal solutions; Optimization…”

Applying learning to filter text by Sainin, Mohd Shamrie

“…Text filtering has been a successful application especially in e-mail filtering. The use of probabilistic approaches such as naïve Bayes algorithm is the effective algorithms currently known for learning to filter or classify text document.Naïve Bayes algorithm is one of the algorithms in Machine Learning that manipulates probability estimation or reasoning about the observed data.The growing of bulk e-mail or known as spam e-mail becomes a threat to users’ privacy and network load and in the case of e -mail filtering,naïve Bayes classifier can be trained to automatically detect spam messages.Similar to the e-mail, forum application may be misused by the user to send bad messages and in some extent may offence other readers.Forum filtering may be less important compared to e-mail spam filtering; however there is a possibility of using naïve Bayes to learn the messages and automatically detect bad messages.Most of the forum application found in the web is applying keyword based text filtering which scan the words and change the detected words into certain representation.Instead of defining a set of keywords to filter the forum messages, this paper will explains the experiment in applying a learning to filter text especially in the educational and anonymous forum message, where there is no user registration required to submit messages.…”
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Static hand gesture recognition using artificial neural network / Haitham Sabah Hasan by Hasan, Haitham Sabah

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An artificial immune system model as talent performance predictor / Siti ‘Aisyah Sa’dan, Hamidah Jantan and Mohd Hanapi Abdul Latif by Sa’dan, Siti ‘Aisyah, Jantan, Hamidah, Abdul Latif, Mohd Hanapi

“…From this research, some of the potential applications that can use this prediction model are employee recruitment planning in industry sectors and higher learning student enrollment.…”
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Particle swarm optimization for neural network learning enhancement by Abdull Hamed, Haza Nuzly

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Adaptive beamforming algorithm based on Simulated Kalman Filter by Kelvin Lazarus, Lazarus

“…Some of the metaheuristic algorithms have been modified from the original algorithms to improve the algorithms performance in adaptive beamforming application. …”
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Applications of deep learning algorithms for supervisory control and data acquisition intrusion detection system by Balla, Asaad, Habaebi, Mohamed Hadi, Islam, Md Rafiqul, Mubarak, Sinil

“…In this paper, we have examined and presented the most recent research on developing robust IDSs using Deep Learning (DL) algorithms, including Convolutional Neural Networks (CNN), Recurrent Neural Networks (RNN), Stacked Autoencoders (SAE), and Deep Belief Networks (DBN). …”
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Differential evolution for neural networks learning enhancement by Ismail Wdaa, Abdul Sttar

“…These algorithms can be used successfully in many applications requiring the optimization of a certain multi-dimensional function. …”
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Security issues of Novel RSA variant by Nitaj, Abderrahmane, Kamel Ariffin, Muhammad Rezal, Adenan, Nurul Nur Hanisah, Lau, Terry Shue Chien, Che, Jiahui

“…The RSA is one of the current default cryptosystems that provides security with applications such as encryptions and digital signatures. …”
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