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1st International Visualization, informatics and Technology Conference, IVIT 2022

作者： Anwar, Rina Md. Din, Marina Md. Bakar, Asmidar Abu Abdul Latif, Aliza Rahim, Fiza Abdul Institute of Informatics and Computing Energy Kajang Selangor Malaysia Universiti Teknologi Malaysia Razak Faculty of Technology and Informatics Advanced Informatics Department Kuala Lumpur Malaysia

ISBN: (纸本)9781665486484

Cyberbullying is a variation of bullying that involves the use of technology to abuse others. This study examined the relationship between behavioural characteristics and cyberbullying profiles among youngsters. A total of 221 youngsters aged between 15-30 in Malaysia were surveyed, and their raw scores ran through statistical analysis. Findings show that the majority of the participants have never engaged in cyberbullying, but a few of them had experienced cyberbullying. Findings from the survey revealed that the percentages of female participants as cybervictims are higher (63.7%) than male participants (36.3%), while the percentages of male participants as bullies are higher (52.9%) than female participants (47.1%). The most prominent behaviour of cyberbullies is sending mean messages directly to cybervictims and the most prominent behaviour of cybervictims is being excluded from online groups. © 2022 IEEE.

关键词： Computer crime

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Personality Analysis Based on The Handwriting Shape using Integration of Image Processing and Machine Learning Algorithm 7

Personality Analysis Based on The Handwriting Shape using In...

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7th International Conference on New Media Studies, CONMEDIA 2023

作者： Rosalina Sahuri, Genta Fahmi, Hasanul Moerland, Joe Wesley Mandala, Rila President University Informatics Study Program Indonesia President University Information System Study Program Indonesia President University Magister of Informatics Study Program Indonesia President University Faculty of Computing Indonesia

ISBN: (纸本)9798350307504

In Indonesia, mental health awareness is not as prominent as physical health, and many adolescents have experienced mental health problems. Some people hide their mental and emotional problems by appearing cheerful and peaceful, but research shows that body language and voice tone can reveal a person's inner psychological state. Similarly, handwriting can be analyzed through graphology to reveal personality traits such as honesty, emotional stability, and fears. Graphology is a time-consuming and expensive process, using image processing and machine learning, graphology can be done quickly without human bias. This research aims to predict the personality traits by implement image processing combined with machine learning to analyze handwriting features. Using lazy learner algorithm of K-Nearest Neighbor algorithm, SVM and Naïve Bayes, the application can predict the MBTI personality from handwriting image with an accuracy of 94%, 78%, and 93% respectively. From the experiment, it is shown that the application able to do the analysis of one's handwriting and then predict the personality traits, fully automated using a computer © 2023 IEEE.

关键词： Forecasting

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The Detection of E-Commerce Manipulated Reviews Using GPT-4 1

The Detection of E-Commerce Manipulated Reviews Using GPT-4

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1st International Conference on Computer Science and Emerging Technologies, CSET 2023

作者： Al Wahshat, Hassan Abu-Ulbeh, Waheeb Yusoff, M Hafiz Zakaria, Muhammad D. Amir Fazamin Wan Hamzah, Wan Mohd Stenin, N.P. Ajloun National University Faculty of Business Department of Management Information System Ajloun Jordan Al-Istiqlal University Faculty of Administrative Sciences and Informatics Cybersecurity Department Jericho10 Palestine UniSZA Malaysia UniSZA Faculty of Informatics and Computing Malaysia Jain Deemed to Be University Bangalore India

ISBN: (纸本)9798350341737

In recent years, the exponential growth of e-commerce has transformed consumer purchasing behavior, with online reviews playing a crucial role in shaping buying decisions. Unfortunately, the prevalence of manipulated reviews has become a significant challenge, undermining the integrity of consumer feedback and eroding trust in e-commerce platforms. This research paper focuses on developing an advanced solution to address the issue of manipulated reviews using the innovative language model, GPT-4. The primary objective of this study is to investigate the effectiveness of GPT-4 in identifying and flagging manipulated reviews within the context of e-commerce platforms. GPT-4 is a state-of-the-art language model with superior natural language processing capabilities, making it an ideal candidate for automated review analysis. The research methodology encompasses a large-scale data collection process, where diverse e-commerce reviews are gathered from various platforms. To simulate real-world scenarios, manipulated reviews are artificially injected into the dataset, representing different degrees of sophistication. The dataset is then annotated by expert reviewers to establish ground truth labels for comparison. Next, GPT-4 is fine-tuned using transfer learning to specialize in detecting manipulated reviews. The fine-tuning process involves exposing the model to both genuine and manipulated review samples, allowing it to learn patterns and features indicative of manipulation. The fine-tuned model's performance is then evaluated using various metrics, including precision, recall, F1 score, and accuracy, against the ground truth dataset. The results of the experiment demonstrate the efficacy of GPT-4 in distinguishing between authentic and manipulated reviews. GPT-4 showcases remarkable accuracy and robustness in detecting increasingly sophisticated manipulation techniques, outperforming previous iterations of language models and traditional detection methods. Furthermore,

关键词： Electronic commerce

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The Concept of Cognition as Categorization in the Development of New Metaheuristics and Algorithms Inspired by Nature 46

The Concept of Cognition as Categorization in the Developmen...

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46th ICT and Electronics Convention, MIPRO 2023

作者： Tulicic, Domagoj Ivkovic, Nikola College for Information Technologies Department of Computer Systems and Networks Zagreb Croatia Faculty of Organization and Informatics Department of Computing and Technology Varaždin Croatia

ISBN: (纸本)9789532331042

The sensorimotor system is a crucial mechanism that enables organisms to categorize information in their environment, a skill necessary for survival. According to cognitive scientist Steven Harnad's 'To Cognize is to Categorize: Cognition is Categorization all living things are essentially sensorimotor systems. This approach is proposed to serve as a novel concept for the development of algorithms inspired by swarm intelligence. Many authors of such algorithms have drawn inspiration from animal species, attempting to emulate their abilities to interact with and navigate their environment. However, these abilities are essentially rooted in the organisms' categorization skills, which are a fundamental characteristic of all sensorimotor systems. Therefore, when designing new algorithms and metaheuristics, it is unnecessary to seek out new species with specific behaviors;instead, the entire sensorimotor system can be observed, and its sensor capabilities can be incorporated even if they do not exist in nature. In order to justify this, abstraction was used as a way to demonstrate the creation of concepts. The paper offers a new perspective on the development of swarm intelligence algorithms and promotes a holistic approach to algorithm design based on Steven Harnad's viewpoint of sensory motor systems. © 2023 MIPRO Croatian Society.

关键词： Swarm intelligence

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A Smart Farming System for Rubber Nursery Management in Monitoring Plant Growth Performance Using IoT Technology 1

A Smart Farming System for Rubber Nursery Management in Moni...

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1st Engineering and Science International Conference 2024, ESIC 2024

作者： Sadikan, S.F.N. Aziz, M.L.H.A. Umor, M.A.S. Mahzan, S. Marjudi, S. Salamat, M.A. Dunne, R.S. Faculty of Plantation and Agrotechnology Universiti Teknologi MARA Merlimau Melaka77300 Malaysia College of Computing Informatics and Media Universiti Teknologi MARA Merlimau Melaka77300 Malaysia Faculty of Computer Science and Information Technology Universiti Tun Hussein Onn Malaysia Batu Pahat86400 Malaysia Faculty of Communication Visual art and Computing Universiti Selangor Kuala Selangor45600 Malaysia

Rubber plantations are an integral part of economy in Malaysia. However, inadequate soil moisture poses a significant problem for rubber trees as it can lead to water stress, ultimately hindering their growth, leaf development, and latex production. Water stress occurs when the trees are unable to obtain sufficient water from the soil, which resulting in stunted growth, leaf development, leading to fewer and smaller leaves. There is needed an effective water management strategy to ensure optimal growth of rubber trees for latex production. Thus, this project is aim to design and build an active soil monitoring system based on the Internet of Things (IoT). This system is made up of two major components: soil moisture and light intensity. The first component is a soil moisture sensor, which determines the soil's moisture content;light intensity sensor, which detects the intensity of the light and ANSELF Brushless DC Pump connected to an Arduino. This system provides sustainable solutions to increase crop output, reduce waste, and develop a greener plant cultivation. This smart monitoring plant growth system prototype is important in agriculture and plant production. It has potential to promote healthy plant growth and increase agricultural production. © 2025 Institute of Physics Publishing. All rights reserved.

关键词： Soil moisture

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Impact of Selfish Nodes on the Performance of Delay-Tolerant Routing Protocols in Intermittently Connected Mobile Networks (ICMNs)

Impact of Selfish Nodes on the Performance of Delay-Tolerant...

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2024 International Conference on Recent Progresses in Science, Engineering and Technology, ICRPSET 2024

作者： Abubakar, Abdirahman M. Rahim, Muhammad Sajjadur Faculty of Computing and Informatics Amoud University Borama Somalia University of Rajshahi Department of Information and Communication Engineering Rajshahi 6205 Bangladesh

ISBN: (纸本)9798331509477

Delay-Tolerant Networks (DTNs) enable communication in challenging environments where intermittent connectivity is the norm. However, the presence of selfish nodes, which prioritize their own interests over network performance, can significantly degrade the performance. This paper investigates the impact of selfish nodes on three prominent DTN routing protocols: Epidemic, PRoPHET, and Spray and Wait. Using the Opportunistic Network Environment (ONE) simulator modified to incorporate selfish node behavior, we analyze the performance metrics: delivery probability, average latency, and overhead ratio. Our findings reveal that selfish nodes can significantly degrade network performance, with varying impacts depending on the routing protocol and network parameters. Surprisingly, selfish nodes can, in some cases, lead to a counterintuitive improvement in delivery probability for certain protocols, highlighting the complex interplay between selfishness and routing dynamics in DTNs. This research underscores the need for robust DTN routing protocols that can effectively mitigate the detrimental effects of selfish nodes and ensure reliable communication in challenging environments. © 2024 IEEE.

关键词： delay-tolerant networks epidemic intermittently connected mobile networks opportunistic network environment simulator performance analysis PRoPHET routing protocols selfish nodes spray and wait

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Driving Simulator for Drivers Education with Artificial Intelligence Traffic and Virtual Reality: a Review 8th

Driving Simulator for Drivers Education with Artificial In...

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8th International Conference on Computational Science and Technology, ICCST 2021

作者： Cheng, Yun-Quan Mansor, Sarina Chin, Ji-Jian Karim, Hezerul Abdul Faculty of Engineering Multimedia University Selangor Cyberjaya Malaysia Faculty of Computing and Informatics Multimedia University Selangor Cyberjaya Malaysia

ISBN: (纸本)9789811685149

Simulators are games that give a sense of realism and simulate of the real world in a virtual world, such as racing games or serious medical training games. These have been widely documented to have positive effects on the specific technical skills training on their respective field of users. However, in the area of simulators for driving education, there has been a lack of a comprehensive survey which encompasses the various contributions in this area. In this paper, we fill that gap by providing a review of previous work in literature that focuses on driver’s education using simulators. In addition, we include also works on Artifical Intelligence (AI) and Computational Intelligence (CI) in games that could be used to enhance the project and the effects of implementation of virtual reality in such studies. © 2022, The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd.

关键词： Virtual reality

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Geoelectrical subsurface characterization: A case study of saltwater intrusion in Kudat, Sabah 14

Geoelectrical subsurface characterization: A case study of s...

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14th Seminar on Science and Technology 2021, S and T 2021

作者： Ismail, Fatin Nabilahuda Musta, Baba Saleh, Hardianshah Yahya, Farashazillah Faculty of Science and Natural Resources Universiti Malaysia Sabah Malaysia Faculty of Computing and Informatics Universiti Malaysia Sabah Malaysia

Sa ltwa ter intrusion is one of the prima ry sources of groundwa ter conta mination, especia lly nea r the coa sta l line, a nd it is crucia l to monitor sa ltwa ter intrusion to protect fresh groundwa ter. Due to the proximity of the coa sta l line, the a rea within Kuda t Peninsula tha t wa s formed by the ophiolite ba sement, Kuda t Forma tion Chert-Spilite Forma tion, a nd a lluvium deposit is susceptible to sa ltwa ter intrusion. In this study, two survey lines of geoelectrica l resistivity a nd induced pola riza tion ima ging survey with a tota l length of 200 m were ca rried out. The Wenner configura tion wa s used to cha ra cterize the subsurfa ce of the Kuda t Peninsula. The interpola tion between geoelectrica l resistivity a nd cha rgea bility profiles provided better interpreta tions of the subsurfa ce environment. The sa ltwa ter intrusion zone displa ys a resistivity va lue between 0 – 5.0 Ωm a nd a cha rgea bility va lue between 0 – 3.0 ms. The results showed that sa ltwa ter intrusion wa s detected a t depths a s sha llow a s 1.25 m to 36.90 m a nd intruded a s fa r a s 218.00 m into the ma inla nd, from the coa stline. © 2022 Institute of Physics Publishing. All rights reserved.

关键词： Surveys

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CoinChain: Effective Coin Mixing Tool for Anonymous CryptoCurrency 8th

CoinChain: Effective Coin Mixing Tool for Anonymous CryptoCu...

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8th International Conference on Computational Science and Technology, ICCST 2021

作者： Chan, Wai Kok Chin, Ji-Jian Goh, Vik Tor Faculty of Informatics and Computing Multimedia University Cyberjaya63000 Malaysia Faculty of Engineering Multimedia University Cyberjaya63000 Malaysia

ISBN: (纸本)9789811685149

Many anonymous cryptocurrencies have been introduced to address the privacy issue in Bitcoin. Compared to traditional security schemes like hashing and encryption, the security measurement for cryptocurrency is less precise. In hashing, there is a direct security challenge, such as reproducing a hash collision. However, in anonymous cryptocurrency, a direct security challenge is not precise. Many anonymous cryptocurrency proposals address this issue in the form of cryptographic proof. This paper describes a brief evolution of anonymous cryptocurrency, followed by a brief description of CoinChain Protocol. This paper also proves that CoinChain has a high anonymity set. A methodology and code to produce a simulated blockchain from a list of actual transactions for any third party to decipher is also described. If a third party can correctly decipher the simulated blockchain into actual transaction, then the privacy aspect of the cryptocurrency is consider broken. © 2022, The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd.

关键词： Mixing

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Deep Reinforcement Learning-Based Framework for Enhancing Cybersecurity

International Journal of Interactive Mobile Technologies

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International Journal of Interactive Mobile Technologies 2025年第3期19卷 170-190页

作者： Al-Nawashi, Malek M. Al-Hazaimeh, Obaida M. Tahat, Nedal M. Gharaibeh, Nasr Abu-Ain, Waleed A. Abu-Ain, Tarik Al-Huson University College Al-Balqa Applied University Irbid Jordan Faculty of Information Technology Department of Information Security and Cybersecurity Philadelphia University Amman Jordan Faculty of Science The Hashemite University Zarqa Jordan College of Science and Computer Engineering Taibah University Yanbu Saudi Arabia College of Computing and Informatics Saudi Electronic University Riyadh Saudi Arabia

The detection of cyberattacks has been increasingly emphasized in recent years, focusing on both infrastructure and people. Conventional security measures such as intrusion detection, firewalls, and encryption are insufficient in protecting cyber systems against growing and changing threats. In order to address this problem, scholars have explored reinforcement learning (i.e., RL) as a potential solution for intricate cybersecurity decision-making difficulties. Nevertheless, the use of RL faces several obstacles, including dynamic attack scenarios, insufficient training data, and the challenge of replicating real-world complexities. This study presents a novel framework that uses deep reinforcement learning (i.e., DRL) to simulate harmful cyberattacks and improve cybersecurity. This study presents an agent-based framework that is capable of ongoing learning and adaptation in a dynamic network security environment. The agent determines the optimal course of action by considering the current state of the network and the rewards it receives for its decisions. The CIC-IDS-2018 database, constructed using Python 3.7 programming, was used. The conducted studies yielded outstanding results, with a detection accuracy of 98.82% achieved for the CIC-IDS-2018 database in cyber-attack classification. © 2025 by the authors of this article. Published under CC-BY.

关键词： Cybersecurity

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