Search Results - (( java application rsa algorithm ) OR ( user detection ((method algorithm) OR (path algorithm)) ))

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  1. 1
    RSA Encryption & Decryption using JAVA

    RSA Encryption & Decryption using JAVA by Ramli, Marliyana

    Published 2006
    “…References and theories to support the research of 'RSA Encryption/Decryption using Java' have been disclosed in Literature Review section. …”
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  2. 2
    AUTOMATED MODEL GENERATION OF FSM AND NUSMV MODEL FROM RSA JAVA SOURCE CODE FOR MODEL CHECKING

    AUTOMATED MODEL GENERATION OF FSM AND NUSMV MODEL FROM RSA JAVA SOURCE CODE FOR MODEL CHECKING by SALLEH AL-HUMAIKANI, MOHAMMED ABDULQAWI

    Published 2021
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  3. 3
    The shortest route of the potential companies for internship using Dijkstra’s Algorithm / Mohamad Khairul Ikhwan Mohd Radzi

    The shortest route of the potential companies for internship using Dijkstra’s Algorithm / Mohamad Khairul Ikhwan Mohd Radzi by Mohd Radzi, Mohamad Khairul Ikhwan

    Published 2017
    “…However, for optimum distance, dijkstra algorithm has been used. This algorithm is one of the algorithms used for getting the lowest cost search path. …”
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  4. 4
    An improved RSA cryptosystem based on thread and CRT / Saheed Yakub Kayode and Gbolagade Kazeem Alagbe

    An improved RSA cryptosystem based on thread and CRT / Saheed Yakub Kayode and Gbolagade Kazeem Alagbe by Yakub Kayode, Saheed, Kazeem Alagbe, Gbolagade

    Published 2017
    “…Java programming language is used to implement the algorithm. …”
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  5. 5
    Secure Image Steganography Using Encryption Algorithm

    Secure Image Steganography Using Encryption Algorithm by Siti Dhalila, Mohd Satar, Roslinda, Muda, Fatimah, Ghazali, Mustafa, Mamat, Nazirah, Abd Hamid, An, P.K

    Published 2016
    “…A system based on the proposed algorithm will be implemented using Java and it will be more secured due to double-layer of security mechanisms which are RSA and Diffie-Hellman.…”
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  6. 6
    Design And Development Of Collision Avoidance Strategy For Differential Drive Mobile Robot

    Design And Development Of Collision Avoidance Strategy For Differential Drive Mobile Robot by Ng, Sing Yee

    Published 2018
    “…In order to evaluate the performance of the proposed methods, a MATLAB Graphical User Interface (GUI) is created to plot the targeted and real path of the robot. …”
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  7. 7
    Wi-Fi signal strengths database construction for indoor positioning systems using Wi-Fi RFID

    Wi-Fi signal strengths database construction for indoor positioning systems using Wi-Fi RFID by Narzullaev, Anvar, Selamat, Mohd Hasan

    Published 2013
    “…Compared to existing calibration procedure our method requires only few signal samples from RFID tags to be collected and rest of the database is recovered using path-loss prediction algorithm.…”
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  8. 8
    Smart resource tracking and tracing system (SRTTS)

    Smart resource tracking and tracing system (SRTTS) by Omar, Emi Normalina, Abu Hassan, Lailatul Faizah, Rochin Demong, Nur Atiqah, Othman, Abdul Kadir, A Rahman, Mohd Khirzan Badzli

    Published 2017
    “…Method used by the system is providing an algorithm on showing the shortest path which will act as a recommender system. …”
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  9. 9
    Enhanced recognition methods for text and slider CAPTCHA vulnerability assessment

    Enhanced recognition methods for text and slider CAPTCHA vulnerability assessment by Xing, Wan

    Published 2025
    “…By comparing them with the benchmark models in terms of recognition accuracy, precision, computational complexity, storage space, and other metrics, the superiority of our proposed algorithm is proved. Furthermore, we have delineated the path for subsequent study and enhancement.…”
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  10. 10
    Machine Learning Based Detection for Compromised Accounts on Social Media Networks

    Machine Learning Based Detection for Compromised Accounts on Social Media Networks by K., Swapna, M., Rithika, K., Rukmini, S., Swachitha, Y., Komali

    Published 2025
    “…We employ machine learning algorithms to train models that can accurately classify accounts as compromised or legitimate based on these features. …”
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  11. 11
    AUTOMATED GUIDED ROBOT (AGR)

    AUTOMATED GUIDED ROBOT (AGR) by Abd Rahim, Mohd Azlan Shah

    Published 2007
    “…Compared to manual mobile robots, AGRs require sensors and control systems that generate feedback for the re-evaluation of an unexpected situation and to detect obstacles in the path the AGR is required to follow. …”
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  12. 12
    Algorithm enhancement for host-based intrusion detection system using discriminant analysis

    Algorithm enhancement for host-based intrusion detection system using discriminant analysis by Dahlan, Dahliyusmanto

    Published 2004
    “…Algorithms for building detection models are usually classified into two categories: misuse detection and anomaly detection. …”
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  13. 13
    Digitally signed electronic certificate for workshop / Azinuddin Baharum

    Digitally signed electronic certificate for workshop / Azinuddin Baharum by Baharum, Azinuddin

    Published 2017
    “…Digital Signature was encrypted by RSA Algorithm, a very powerful asymmetrical encryption. …”
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  14. 14
    Covariance Inflation Method In Ros Based Mobile Robot Navigation

    Covariance Inflation Method In Ros Based Mobile Robot Navigation by Ezzah Naziha, Roslim

    Published 2022
    “…This thesis deals with the Extended Kalman Filter (EKF) as an alternative technique to overcome issues in mobile robot especially in term of localization. of robot, the mobile robot should manage to map and has their own path planning. Moreover, the algorithm of SLAM (Simultaneous Localization and Mapping) is also used together in order to generate map while locate itself in one environment. …”
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  15. 15
    A study on advanced statistical analysis for network anomaly detection

    A study on advanced statistical analysis for network anomaly detection by Ngadi, Md. Asri, Idris, Mohd. Yazid, Abdullah, Abd. Hanan

    Published 2005
    “…Algorithms for building detection models are usually classified into two categories: misuse detection and anomaly detection. …”
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  16. 16
    SEDF: a spoofed email detection framework employed by a lightweight web browser plug-in for detecting the spoofed email / Al Ya@Geogiana Buja...[et al.]

    SEDF: a spoofed email detection framework employed by a lightweight web browser plug-in for detecting the spoofed email / Al Ya@Geogiana Buja...[et al.] by Buja, Al Ya@Geogiana, Ahmad, Illiasaak, Zolkeply, Mohd Syafiq

    Published 2014
    “…The method used to detect fake e-mail is by tracing back the email header. …”
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  17. 17
    Phishing attack detection using machine learning method

    Phishing attack detection using machine learning method by Jupin, John Arthur

    Published 2019
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  18. 18
    Anomaly behavior detection using flexible packet filtering and support vector machine algorithms

    Anomaly behavior detection using flexible packet filtering and support vector machine algorithms by Abdul Wahid, Mohammed N.

    Published 2016
    “…The User Profile Filter (UPF) was proposed to aid the SVM algorithm to classify the captured traffics into normal and abnormal behavior. …”
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  19. 19
    FPGA Implementation of Multi-User Detection Genetic Algorithm Tool for SDMA-OFDM Systems

    FPGA Implementation of Multi-User Detection Genetic Algorithm Tool for SDMA-OFDM Systems by Alansi, M., Elshafiey, I., Al-Sanie, A., Mabrouk, A.

    Published 2016
    “…Robust multi-user detection (MUD) methods based on space division multiple access (SDMA) techniques are essential to efficiently exploit the electromagnetic spectrum. …”
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  20. 20
    Summary of best efficient algorithms on cognitive radio cooperative spectrum sensing to improve QoS

    Summary of best efficient algorithms on cognitive radio cooperative spectrum sensing to improve QoS by Akbari, M., Reza, A.W., Noordin, K.A., Manesh, M.R., Hindia, M.N.

    Published 2014
    “…Cooperative spectrum sensing (CSS) in cognitive radio (CR) has been widely investigated to be considered as a spectrum scanning mechanism that allows secondary users or cognitive radio users (SUs) to use detected spectrum holes caused by primary users (PUs) absence. …”
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