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International Conference on Information Management and Technology (ICIMTech)

作者： Gulit Habibi Nico Surantha BINUS Graduate Program-Master of Computer Science Bina Nusantara University Jakarta Indonesia

ISBN: (数字)9781728170718

ISBN: (纸本)9781728170725

Cross-Site Scripting (XSS) is an attack most often carried out by attackers to attack a website by inserting malicious scripts into a website. This attack will take the user to a webpage that has been specifically designed to retrieve user sessions and cookies. Nearly 68% of websites are vulnerable to XSS attacks. In this study, the authors conducted a study by evaluating several machine learning methods, namely Support Vector Machine (SVM), K-Nearest Neighbour (KNN), and Naïve Bayes (NB). The machine learning algorithm is then equipped with the n-gram method to each script feature to improve the detection performance of XSS attacks. The simulation results show that the SVM and n-gram method achieves the highest accuracy with 98%.

关键词： Machine learning Uniform resource locators Support vector machines Training data Cross-site scripting Machine learning algorithms Feature extraction

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The General Factors Mapping between Digital Economy and Sharing Economy

The General Factors Mapping between Digital Economy and Shar...

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International Conference on Information Management and Technology (ICIMTech)

作者： Ratna Sari Ford Lumban Gaol Harjanto Prabowo Fithra Faisal Hastiadi BINUS Graduate Program - Doctor of Computer Science School of Information Systems Bina Nusantara University Jakarta Indonesia BINUS Graduate Program - Doctor of Computer Science Bina Nusantara University Jakarta Indonesia BINUS Graduate Program - Doctor of Computer Science BINUS Business School Undergraduate Program Bina Nusantara University Jakarta Indonesia Faculty of Economics and Business Universitas Indonesia Depok Indonesia

ISBN: (数字)9781728170718

ISBN: (纸本)9781728170725

The focus of this research is looking for general factors in digital economy and sharing economy. The methodology is using a systematic literature review approach that is categorized appropriate literature reviews where the literature review will focus on research on digital economy and also the concept of sharing economy or research that adopts both methods. From total 119 papers found in accordance with the search keyword, there were 50 papers which were candidates, while 12 papers were selected in this study. Furthermore, there are 9 (nine) factors that are common factors in the digital economy and sharing economy.

关键词： Business Bibliographies computer science Collaboration Economics Libraries Medical services

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Jakarta Government Official Portal Acceptance Based On Technology Acceptance Model

Jakarta Government Official Portal Acceptance Based On Techn...

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International Conference on Information Technology Systems and Innovation (ICITSI)

作者： Cahyono Budy Santoso Wayan Suparta Edi Abdurachman Agung Trisetyarso BINUS Graduate Program-Doctor of Computer Science Bina Nusantara Unversity Jakarta Indonesia

ISBN: (数字)9781728181967

ISBN: (纸本)9781728181974

The continuity of the quality of the official portal of DKI Jakarta province in terms of information, relevance and population must be maintained, evaluated and can be developed so that the public can get significant benefits. The purpose of this study was to determine the level of public acceptance of the portal site using the Technology Acceptance Model (TAM) approach. The methodology of this research is to make a survey of the public as users of the portal site, with the objectives based on perceived ease of use, perceived usefulness, behavioral intention to use, attitude toward using technology and actual system use of the portal site. This research is a quantitative research based on data through a questionnaire with a likert scale conducted for users of the Jakarta portal. This study uses a Structural Equation Modeling (SEM) analysis method based on the Partial Least Square (PLS) variant..There are 6 hypotheses proposed in this study, from the test results found 4 acceptable hypotheses. The hypothesis shows that the actual system usage factor is influenced by the Behavioral Intention to use factor of 48.9%. While the Behavioral Intention to use factor is influenced by the Perceived Usefulness factor of 43.9%.

关键词： Portals Government Load modeling Technology acceptance model Information technology computer science Biological system modeling

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Unmasking Illusions: Understanding Human Perception of Audiovisual Deepfakes

arXiv

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arXiv 2024年

作者： Hashmi, Ammarah Shahzad, Sahibzada Adil Lin, Chia-Wen Tsao, Yu Wang, Hsin-Min Social Networks and Human-Centered Computing Program Taiwan International Graduate Program Institute of Information Science Academia Sinica Taipei11529 Taiwan Institute of Information Systems and Applications National Tsing Hua University Hsinchu300044 Taiwan Department of Computer Science National Chengchi University Taipei11529 Taiwan Department of Electrical Engineering Institute of Communications Engineering National Tsing Hua University Hsinchu300044 Taiwan Research Center for Information Technology Innovation Academia Sinica Taipei11529 Taiwan Institute of Information Science Academia Sinica Taipei11529 Taiwan

The emergence of contemporary deepfakes has attracted significant attention in machine learning research, as artificial intelligence (AI) generated synthetic media increases the incidence of misinterpretation and is difficult to distinguish from genuine content. Currently, machine learning techniques have been extensively studied for automatically detecting deepfakes. However, human perception has been less explored. Malicious deepfakes could ultimately cause public and social problems. Can we humans correctly perceive the authenticity of the content of the videos we watch? The answer is obviously uncertain;therefore, this paper aims to evaluate the human ability to discern deepfake videos through a subjective study. We present our findings by comparing human observers to five state-of-the-art deepfake detection models. To this end, we used gamification concepts to provide 110 participants (55 native English speakers and 55 non-native English speakers) with a web-based platform where they could access a series of 40 videos (20 real and 20 fake) to determine their authenticity. Each participant performed the experiment twice with the same 40 videos in different random orders. The videos are manually selected from the FakeAVCeleb dataset. We found that all AI models performed significantly better than humans when evaluated on the same 40 videos. The study also reveals that while deception is not impossible, humans tend to overestimate their detection capabilities. Our experimental results may help benchmark human versus machine performance, advance forensics analysis, and enable adaptive countermeasures. © 2024, CC BY.

关键词： Audiovisual

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Understanding Audiovisual Deepfake Detection: Techniques, Challenges, Human Factors and Perceptual Insights

arXiv

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arXiv 2024年

作者： Hashmi, Ammarah Shahzad, Sahibzada Adil Lin, Chia-Wen Tsao, Yu Wang, Hsin-Min The Social Networks and Human-Centered Computing Program Taiwan International Graduate Program Institute of Information Science Academia Sinica Taipei11529 Taiwan The Institute of Information Systems and Applications National Tsing Hua University Hsinchu300044 Taiwan The Department of Computer Science National Chengchi University Taipei11529 Taiwan The Department of Electrical Engineering The Institute of Communications Engineering National Tsing Hua University Hsinchu300044 Taiwan The Research Center for Information Technology Innovation Academia Sinica Taipei11529 Taiwan The Institute of Information Science Academia Sinica Taipei11529 Taiwan

Deep Learning has been successfully applied in diverse fields, and its impact on deepfake detection is no exception. Deepfakes are fake yet realistic synthetic content that can be used deceitfully for political impersonation, phishing, slandering, or spreading misinformation. Despite extensive research on unimodal deepfake detection, identifying complex deepfakes through joint analysis of audio and visual streams remains relatively unexplored. To fill this gap, this survey first provides an overview of audiovisual deepfake generation techniques, applications, and their consequences, and then provides a comprehensive review of state-of-the-art methods that combine audio and visual modalities to enhance detection accuracy, summarizing and critically analyzing their strengths and limitations. Furthermore, we discuss existing open source datasets for a deeper understanding, which can contribute to the research community and provide necessary information to beginners who want to analyze deep learning-based audiovisual methods for video forensics. By bridging the gap between unimodal and multimodal approaches, this paper aims to improve the effectiveness of deepfake detection strategies and guide future research in cybersecurity and media integrity. © 2024, CC BY.

关键词： Audiovisual

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Feasibility study of Information Technology Investment (a case study of ODOO ERP: Project Management Module Implementation in Indonesia Based Company) 10

Feasibility study of Information Technology Investment (a ca...

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10th International Conference on ICT for Smart Society, ICISS 2019

作者： Jingga, Fredy Kosala, Raymond Supangkat, Suhono Harso Ranti, Benny School of Information Systems Bina Nusantara University Computer Science Department BINUS Graduate Program-Doctor of Computer Science Information Systems Department Jakarta11480 Indonesia Bina Nusantara University Computer Science Department BINUS Graduate Program-Doctor of Computer Science Jakarta11480 Indonesia Bandung Institute of Technology School of Electrical Engineering and Informatics Bandung Indonesia

ISBN: (纸本)9781728148809

IT Governance are one of the needs in managing Enterprise Level IT. This study shows part of the decision domain of IT Governance Help, which are IT Investment and Prioritization. The purpose of this study is to determine feasibility of implementation open source ERP system Odoo project management module that replaces current system based on operational, economic, and technical aspects. The method used are Fit/Gap Analysis and Cost Benefit model using economic impact worksheet. The analysis is done by comparing the requirement with features owned by current system and Odoo ERP system. This research resulted that Odoo ERP System is feasible in the 3 aspects, the operational feasibility Odoo reaching 72% Fit, the economic feasibility with ROI of 84%, and technical feasibility indicating the technical requirement can be fulfilled by leasing AWS server. The conclusion is the open source ERP system Odoo project management module is feasible to be applied in terms of 3 aspects that have been studied, those are operational, economic, and technical. © 2019 IEEE.

关键词： Cost benefit analysis

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Implementation TDOA and FDOA Algorithms for Satellite Geolocation Interference Finder in Indonesia

Implementation TDOA and FDOA Algorithms for Satellite Geoloc...

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IEEE International Conference on Communication, Networks and Satellite (ComNetSat)

作者： Ilvico Sonata Agung Trisetyarso Wayan Suparta Edi Abdurachman BINUS Graduate Program – Doctor of Computer Science Bina Nusantara University Jakarta Indonesia

The following topics are dealt with: antenna radiation patterns; 5G mobile communication; antenna feeds; MIMO communication; Internet of Things; UHF antennas; Internet; cellular radio; microstrip antennas; wireless ch... 详细信息

ISBN: (数字)9780738125176

ISBN: (纸本)9781665418614

关键词： Satellites Interference Mathematical model computer science Geology Urban areas Conferences

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GIS-Based MCDM for Central Business Suitability in a Small City

GIS-Based MCDM for Central Business Suitability in a Small C...

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International Conference on Informatics and Computing (ICIC)

作者： Herlawati Herlawati Edi Abdurachman Yaya Heryadi Haryono Soeparno BINUS Graduate Program - Doctor of Computer Science Bina Nusantara University Jakarta Indonesia

ISBN: (数字)9781728180472

ISBN: (纸本)9781728180489

Extended urbanization phenomenon in smaller-sized cities in Java should be considered by the government. However, the local governments can only use the plans from the central government. The negative effects of this, among others, are improper land use allocation, lack of facilities, and crimes that are difficult to handle. This study proposes a geographic information system (GIS)-based method to analyze the proper central business district in Karawang, a small district in Java, Indonesia. Multi-criteria analysis of factors affecting the candidate locations was used through a weighted sum method in a model. The spatial data were retrieved and analyzed using a GIS tool to classify region into urban, peri-urban, and rural. Some central business locations have been found after reclassification which is located near the toll gates. Two locations in the north of Karawang were classified have the potential to become the new central business locations.

关键词： Java Urban areas Tools Spatial databases Sustainable development Business Geographic information systems

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Long term-short memory neural networks and word2vec for self-admitted technical debt detection 22

Long term-short memory neural networks and word2vec for self...

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22nd International Conference on Enterprise Information Systems, ICEIS 2020

作者： Santos, Rafael Meneses Santos, Israel Meneses Rodrigues, Methanias Colaço de Mendonça Neto, Manoel Gomes Graduate Program in Computer Science Federal University of Bahia Salvador Brazil Department of Information Systems Federal University of Sergipe Itabaiana Brazil

ISBN: (纸本)9789897584237

Context: In software development, new functionalities and bug fixes are required to ensure a better user experience and to preserve software value for a longer period. Sometimes developers need to implement quick changes to meet deadlines rather than a better solution that would take longer. These easy choices, known as Technical Debt, can cause long-term negative impacts because they can bring extra effort to the team in the future. Technical debts must be managed and detected so that the team can evaluate the best way to deal with them and avoid more serious problems. One way to detect technical debts is through source code comments. Developers often insert comments in which they admit that there is a need to improve that part of the code later. This is known as Self-Admitted Technical Debt (SATD). Objective: Evaluate a Long short-term memory (LSTM) neural network model combined with Word2vec for word embedding to identify design and requirement SATDs from comments in source code. Method: We performed a controlled experiment to evaluate the quality of the model compared with two language models from literature and LSTM without word embedding in a labelled dataset. Results: The results showed that the LSTM model with Word2vec have improved in recall and f-measure. The LSTM model without word embedding achieves greater recall, but perform worse in precision and f-measure. Conclusion: Overall, we found that the LSTM model and word2vec can outperform other models. Copyright © 2020 by SCITEPRESS – science and Technology Publications, Lda. All rights reserved

关键词： Long short-term memory

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Performance Evaluation of Queue Algorithms for Video-on-Demand Application

Performance Evaluation of Queue Algorithms for Video-on-Dema...

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International Conference on Information Management and Technology (ICIMTech)

作者： Yoni Irawan Nico Surantha BINUS Graduate Program - Master of Computer Science Bina Nusantara University Jakarta Indonesia

ISBN: (数字)9781728170718

ISBN: (纸本)9781728170725

Nowadays, there are real-time internet applications that require low latency and high bandwidth usage. In order to satisfy this requirement, many active queuing algorithms are offered, such as RED, BLUE, and controlled delay (CoDel). The number of publications aimed at evaluating the performance of the active queue management (AQM) algorithm is still limited by using a network simulator and only comparing two algorithms. The combination of AQM and connection types (fairness and no-fairness) in real network implementation has not been discussed much. In this paper, we offer a comparison of the performance of three queuing algorithms, namely DropTail, BLUE, and CoDel, with two types of connections, namely fairness and no-fairness using real network devices and internet video streaming access. Experiments carried out in the real network environment using Sandvine PL8840's bandwidth management device. The quality of services (QoS) parameters that will be compared are throughput, latency, and packet loss. The comparison results show that fairness connections on all queuing algorithms can maintain low latency values; throughput is smaller than no-fairness connections. The absence of packet loss in streaming video based on the TCP protocol does not guarantee that the video being played runs well because it depends on the available bandwidth capacity.

关键词： Bandwidth Delays Packet loss Throughput Streaming media Quality of service

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