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Gabriela Mogos
Xi’an Jiaotong-Liverpool University

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Music genres classification by deep learning Yifeng Hu; Gabriela Mogos
Indonesian Journal of Electrical Engineering and Computer Science Vol 25, No 2: February 2022
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijeecs.v25.i2.pp1186-1198

Abstract

Since musical genre is one of the most common ways used by people for managing digital music databases, music-genre-classification is a crucial task. There are many scenarios for its use, and the main one explored here is eventually being placed on Spotify, or Netease music, as an external component to recommend songs to users. This paper provides various deep neural networks developed based on python, together with the effect of these models on music genres classification. In addition, the paper illustrates the technologies for audio feature extraction in industrial environment by mel frequency cepstral coefficients (MFCC), audio data augmentation in
Study on security risks of e-banking system Gabriela Mogos; Nor Shahida Mohd Jamail
Indonesian Journal of Electrical Engineering and Computer Science Vol 21, No 2: February 2021
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijeecs.v21.i2.pp1065-1072

Abstract

Online banking and other e-banking modes are a very convenient way to banking in terms of speed, convenience and delivery costs, but they have brought many risks alongside them. Online banking has created a new risk orientation and even new forms of risk. Technology plays an important role as both a source and a tool for risk control. The purpose of this research is to identify the security situation of the e-banking application and to analyze the risks and attacks that could occur to the customers that, although it’s an e-banking application attacks could happen. Several mitigations were mentioned to overcome attacks like, access control is to mitigate eavesdropping this means that, restricting access to sensitive data is mandatory. Another way to mitigate is, update and patch which is for SQL injection meaning, it's vital to apply patches and updates when it’s available. These attacks may attack the whole application or target an individual where private information is stolen or changed. This research also shows how to apply several more different protections measures to protect oneself and organization from being targets of cybercrime. 
Digital forensics on Tencent QQ-instant messaging service in China Yunkun Li; Gabriela Mogos
Indonesian Journal of Electrical Engineering and Computer Science Vol 29, No 1: January 2023
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijeecs.v29.i1.pp412-420

Abstract

Data packet analysis targeting instant messaging (IM) applications has become one of the most mentioned case examples in the digital forensic industry, considering that the forensic engineers can extract valuable information by analysing the data packets used by the IM software. The crucial part of this process is to accomplish a series of research and investigation, in addition to correctly implement the related forensics tools. This paper is intended to use QQ, a popular IM software in China, as an experiment example, in cooperation with various tools from Kali Linux, a digital forensics-oriented Linux distribution, to present the complete process of the data packet analysis operation. The result concludes from the experiment may be able to provide constructive suggestions to other related digital forensics cases.
Co-Authors Nor Shahida Mohd Jamail Yifeng Hu Yunkun Li