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  1. 1
    JPEG Image Encryption Using Combined Reversed And Normal Direction-Distorted Dc Permutation With Key Scheduling Algorithm-Based Permutation

    JPEG Image Encryption Using Combined Reversed And Normal Direction-Distorted Dc Permutation With Key Scheduling Algorithm-Based Permutation by Abu, Ahmad Zaidee

    Published 2008
    “…With image encryption algorithms, JPEG images can be securely scrambled or encrypted prior to distribution. …”
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  2. 2
    CHAOS BASED BLOCK ENCRYPTOR

    CHAOS BASED BLOCK ENCRYPTOR by SARIN, FARHANA

    Published 2008
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  3. 3
    Direct approach for mining association rules from structured XML data

    Direct approach for mining association rules from structured XML data by Abazeed, Ashraf Riad

    Published 2012
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  4. 4
    Separator Database and SPM Tree Framework for Mining Sequential Patterns Using Prefixspan with Pseudoprojection

    Separator Database and SPM Tree Framework for Mining Sequential Patterns Using Prefixspan with Pseudoprojection by Saputra , Dhany, Rambli, Dayang R.A., Foong, Oi Mean

    Published 2008
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  5. 5
    Selective video encryption algorithm based on H.264/AVC and AES

    Selective video encryption algorithm based on H.264/AVC and AES by Omar zakaria, Mohamed Abomhara, Khalifa, Othman Omran

    Published 2011
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  6. 6
    An analysis of the AAḃ asymmetric encryption scheme on embedded devices for IoT environment / Syed Farid Syed Adnan

    An analysis of the AAḃ asymmetric encryption scheme on embedded devices for IoT environment / Syed Farid Syed Adnan by Syed Adnan, Syed Farid

    Published 2019
    “…One such lightweight scheme is the AA-Beta (AAḃ) asymmetric cryptographic scheme whose algorithm consists of only basic arithmetic operations of addition and subtraction for both the encryption and decryption processes. …”
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  7. 7
    A hardware implementation of Rivest-Shamir-Adleman co-processor for resource constrained embedded systems

    A hardware implementation of Rivest-Shamir-Adleman co-processor for resource constrained embedded systems by Paniandi, Arul

    Published 2006
    “…The designed RSA coprocessor core is actually a modular exponentiation hardware engine, which is the basic arithmetic operation in implementing a RSA public key encryption and decryption algorithm. …”
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  8. 8
    Implementation of hashed cryptography algorithm based on cryptography message syntax

    Implementation of hashed cryptography algorithm based on cryptography message syntax by Ali, Mohammed Ahnaf

    Published 2019
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  9. 9
    Study and Implementation of Data Mining in Urban Gardening

    Study and Implementation of Data Mining in Urban Gardening by Mohana, Muniandy, Lee, Eu Vern

    Published 2019
    “…Attached sensors generate data and send these data to the Java Servlet application through a WIFI module. These data are processed and stored in appropriate formats in a MySQL server database. …”
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  10. 10
    Mining Sequential Patterns Using I-PrefixSpan

    Mining Sequential Patterns Using I-PrefixSpan by Dhany , Saputra, Rambli Dayang, R.A., Foong, Oi Mean

    Published 2007
    “…Sequential pattern mining is a relatively new data-mining problem with many areas of application. …”
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  11. 11
    A web-based implementation of k-means algorithms

    A web-based implementation of k-means algorithms by Lee, Quan

    Published 2022
    “…This stinginess of proximity measures in data mining tools is stifling the performance of the algorithm. …”
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  12. 12
    Developing a secure mechanism for Bluetooth-based Wireless Personal Area Networks (WPANs)

    Developing a secure mechanism for Bluetooth-based Wireless Personal Area Networks (WPANs) by Othman, Marini, Hassan, Wan Haslina, Hassan Abdalla Hashim, Aisha

    Published 2007
    “…Our work involves developing a prototype for Bluetooth systems using RSA and DSA encryption algorithms. An analysis was done to ascertain which of these algorithms is more suited to our proposed security framework and the results indicated that in most instances, the RS A performed better.…”
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  13. 13
    Mining Sequential Patterns using I-PrefixSpan

    Mining Sequential Patterns using I-PrefixSpan by Saputra , Dhany, Dayang R.A. Rambli, Foong, Oi Mean

    Published 2008
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    Citation Index Journal
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  14. 14
    A qualitative study of families of Edwards Curves and their applications in cryptography / Nurul Azwa Kamaruddin and Nurul Ain Mustakim

    A qualitative study of families of Edwards Curves and their applications in cryptography / Nurul Azwa Kamaruddin and Nurul Ain Mustakim by Kamaruddin, Nurul Azwa, Mustakim, Nurul Ain

    Published 2012
    “…For example, RSA, DES (Data Encryption Standard), Symmetric Key Cryptography. Among those cryptosystems, there are three types of public key cryptographic systems that are currently considered both secure and efficient, classified according to the mathematical problems upon which they are based: the Integer Factorization Systems (of which the RSA algorithm is the most well known example), the Discrete logarithm Systems (such as the US Government’s Digital Signature Algorithm) and the Elliptic Curve Cryptosystem (ECC). …”
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  15. 15
    Features selection for intrusion detection system using hybridize PSO-SVM

    Features selection for intrusion detection system using hybridize PSO-SVM by Tabaan, Alaa Abdulrahman

    Published 2016
    “…The simulation will be carried on WEKA tool, which allows us to call some data mining methods under JAVA environment. The proposed model will be tested and evaluated on both NSL-KDD and KDD-CUP 99 using several performance metrics.…”
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  16. 16
    Stegano-image as a digital signature to improve security authentication system in mobile computing

    Stegano-image as a digital signature to improve security authentication system in mobile computing by Mantoro, Teddy, Permadi, Didit Dwi, Abubakar, Adamu

    Published 2016
    “…One of the authentication techniques is a textual password based. This type of textual password commonly follows an encryption algorithm to provide security. …”
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  17. 17
    Key exchange for new cryptosystem analogous to LUCELG and Cramer-Shoup

    Key exchange for new cryptosystem analogous to LUCELG and Cramer-Shoup by Muslim, Norliana, Md. Said, Mohamad Rushdan

    Published 2013
    “…In the analog cryptosystem, the encryption and decryption algorithm are based on the defined Lucas function and its security have been proved that is polynomial time equivalent to the generalized discrete logarithm problems. …”
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  18. 18
    A New Cryptosystem Based on Decimal Numbers and Nonlinear Function

    A New Cryptosystem Based on Decimal Numbers and Nonlinear Function by Alfaris, Rand Qusay

    Published 2009
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  19. 19
    Developing a prototype e-commerce application with credit card validation and secure transaction

    Developing a prototype e-commerce application with credit card validation and secure transaction by M. A., Ameedeen

    Published 2005
    “…The application also includes an online credit card validation module that validates credit cards against the Luhn Algorithm and predefined credit card prefixes.The application will accept three types of credit cards which are Mastercard,Visa and American Express.The application is developed on the NET platform using ASP.NET and Visual Basic NET scripting.Therefore,the application could run on all kinds of platform.The application requires a Microsoft Server based operating system and Microsoft SQL Server in order for it to run.The application has been tested and runs successfully both on a server and on a workstation with server settings.In short,this system is the solution to the problems of current e-commerce technology.…”
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    Undergraduates Project Papers
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  20. 20
    A Machine Learning Classification Approach to Detect TLS-based Malware using Entropy-based Flow Set Features

    A Machine Learning Classification Approach to Detect TLS-based Malware using Entropy-based Flow Set Features by Keshkeh, Kinan, Jantan, Aman, Alieyan, Kamal

    Published 2022
    “…Due to the complexity of TLS traffic decryption, several anomaly-based detection studies have been conducted to detect TLS-based malware using different features and machine learning (ML) algorithms. …”
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