Wan Nor Ashiqin Wan Ali
Thumbnail Image
Preferred name
Wan Nor Ashiqin Wan Ali
Official Name
Wan Nor Ashiqin, Wan Ali
Alternative Name
Ali, Wan Nor Ashiqin Wan
Wan Ali, Wan Nor Ashiqin
Wan Ali, W.N.A
Main Affiliation
Scopus Author ID
49960948500
Researcher ID
IXN-2942-2023

Research Output

Filters

3
3
3
Reset filters

Settings
Now showing 1 - 3 of 3
  • Publication
    The Development of an Interactive Animation to Prevent Social Media Fraud
    ( 2020-06-17)
    Lun C.W.
    ;
    Syed Zulkarnain Syed Idrus
    ;
    Wan Nor Ashiqin Wan Ali
    ;
    Ishak N.A.
    ;
    Wan Azani Wan Mustafa
    ;
    Mohd Aminudin Jamlos
    ;
    Wahab M.H.A.
    Technology is the creation, invention, methods or systems of something new that has the purpose to overcome human's limitation, so that the creation can help human to complete the task that they cannot do. However, the world is getting advanced day-by-day, and so do the online frauds, where it is getting more types due to the ease of these technologies. People would use these advanced technologies to scam others, especially through social media. Thus, the number of online scam seems to be rising, and it is an appropriate action that someone does to bring benefits only for themselves. This paper is about the development of an interactive animation to increase the awareness of social media frauds among people and ways to prevent it. Subsequently, we created an animation that can raise the awareness of social media fraud among people, and hence they can also learn effective ways to prevent social media fraud from happening.
  • Publication
    A Review on Feature Extraction in Keystroke Dynamics
    ( 2020-06-17)
    Mohd Noorulfakhri Yaacob
    ;
    Syed Zulkarnain Syed Idrus
    ;
    Wan Nor Ashiqin Wan Ali
    ;
    Wan Azani Wan Mustafa
    ;
    Mohd Aminudin Jamlos
    ;
    Wahab M.H.A.
    Feature extraction is an important process before an analysis of a data is carry out. Different behaviour of a user while using the keyboard is a feature that need to be identified in the Keystroke Dynamics (KD) study. Example are the difference between typing time between letters, typing speed and the force of a person pressing the keyboard. Past studies related to feature extraction for KD have been described in this paper. Various features that have been used are listed and the results of the study are compared. The results of this writing are expected to help new researchers in the process of evaluating KD.
  • Publication
    Soft Biometrics and Its Implementation in Keystroke Dynamics
    ( 2020-06-17)
    Mohd Noorulfakhri Yaacob
    ;
    Syed Zulkarnain Syed Idrus
    ;
    Wan Nor Ashiqin Wan Ali
    ;
    Wan Azani Wan Mustafa
    ;
    Mohd Aminudin Jamlos
    ;
    Wahab M.H.A.
    Biometrics is a unique art that exists within a person and allows it to be used to differentiate between one another. These biometrics can be divided into two categories namely behaviour and physical such as face, fingerprint, hand, voice and gait. There are previous studies which examine the personal's characteristic or personality as gender, age, cultural, weight, height, colour of hair etc. This personal's characteristic or personality also known as soft biometric. Several previous studies have shown that the use of soft biometric element (one or combination of elements) in the process of identifying individuals can improve the performance of individual recognition. This paper will elaborate and concludes past studies related to the use of soft biometric elements in KD. Several soft biometric elements applied in various methods of recognition on previous studies have been listed and the results of the studies are compared.