The 13th Conference on Information Technology and Its Applications (CITA) will be hosted by the Vietnam-Korea University of Information and Communication Technology (VKU), a member of the University of Danang, with support from other research and training institutions under the ASEAN Creative Innovation Research Association (ACIR) and the Vietnam ICT Association of Faculties-Institutes-School-Universities (FISU Vietnam). The conference will take place on July 19-20, 2024, in Da Nang City and Hoi An City, Vietnam. Paper Title: "An Adaptive Cyber Deception Approach for Active Cyber-attack Defense Method based on Deep Reinforcement Learning" Student Contributors: Nguyen Chi Toan - Information Security, High-Quality Program 2019 Nguyen Hoang Hieu - Information Security, High-Quality Program 2019 Cao Thi Bich Phuong - Information Security, High-Quality Program 2019 Supervisors: MSc. Phan The Duy, MSc. Do Hoang Hien Abstract: "The diverse landscape of network models, including Software Defined Networking (SDN), Cloud Computing (C2), and Internet of Things (IoT), is evolving to meet the demands of flexibility and performance. However, these environments face numerous security challenges due to cyber-attack complexity. Traditional defense mechanisms are no longer effective against modern attacks. Therefore, Defensive Deception (DD) is proposed as an active defense approach for deceiving attackers. Despite the optimized resource deployment of both Machine Learning (ML) and Deep Learning (DL), they necessitate the usage of pre-existing datasets that have been labeled. Our paper combines Deep Reinforcement Learning (DRL) and SDN technology to establish a novel strategic deception deployment method. This combination creates a powerful security solution that generates deceptive targets and resources to attract attackers, as a result, it provides improved visibility, threat detection, response capabilities, and threat intelligence. Our experiments are implemented on a simulated SDN-based network. The experimental results show that our approach gives significant effectiveness for deception resource allocation compared to random strategies." Conference Link: https://cita.vku.udn.vn/ Detailed Information: https://www.facebook.com/inseclab/posts/pfbid0LmW7cXuPLzr5JWFWMCWumNhK5DRgcrShMPR7kq7yncUhdPA8e5Ewq52dQCJL4f3fl Đông Xanh - Media Collaborator, University of Information Technology English version: Phan Huy Hoang

Greetings to all K17 and K18 students, This may be your first exam period in 2024 at UIT. But worry not, with the training sessions provided by the Student Council, we hope to have assisted you in reinforcing your knowledge and essential skills for the upcoming midterm exams. The Software Engineering Student Council would like to express our gratitude to the warriors of K17 and K18 who participated in our training sessions. We wish you all the best of luck for the exam season. If you have any feedback or suggestions to help us improve the quality of future training sessions, please feel free to share with us. Thank you for participating, thank you for being a part of our training series. Detailed Information:  https://www.facebook.com/bhtcnpm/posts/pfbid0NngaBpY4HnbWKi879VWP2GMpdxLJVoDnMrnpZXCLrayhJgHFVWr6jd1YHzXK23mgl  Hạ Băng - Media Collaborator, University of Information Technology English version: Phan Huy Hoang

At 10:00 a.m. on April 9, 2024, in Room E10.1, at the University of Information Technology, the Faculty of Information Systems successfully organized a seminar on the topic "Guidelines for Writing Thesis Proposals and Research Project Explanations for IT Students in 2024." The seminar received enthusiastic participation and attention from students. Assoc. Prof. Cao Thi Nhan – Deputy Dean of Faculty of Information Systems Assoc. Prof. Cao Thi Nhan, Deputy Dean of Faculty of Information Systems, imparted extensive and valuable knowledge, providing students with both an overview and specific insights into selecting topics and completing thesis proposals and research project explanations. The seminar took place in a lively atmosphere with vibrant interaction and discussion between students and the presenter throughout the session, demonstrating genuine interest and the real need for learning and enhancing students' scientific research skills. The seminar also provided an opportunity for students to ask questions and receive direct support from Assoc. Prof. Cao Thi Nhan, enabling them to address any doubts and challenges they encounter during their research and thesis writing process. The faculty of Information Systems hopes that through this seminar, students have gained additional valuable knowledge and skills, enhancing their confidence in carrying out their graduation theses and scientific research projects. The organizing committee looks forward to continuing to host many more useful events like this in the future, to support and contribute to the development of students and the scientific community. The faculty of Information Systems sincerely thanks the students and Assoc. Prof. Cao Thi Nhan for their participation and contributions to the success of the seminar. Please stay tuned for and participate in upcoming activities organized by the faculty of Information Systems! Some images from the program:        Detailed Information: https://httt.uit.edu.vn/tong-ket-seminar-huong-dan-viet-de-cuong-kltn-va-thuyet-minh-de-tai-nckh-sv-nam-2024/  Hạ Băng - Media Collaborator, University of Information Technology English version: Phan Huy Hoang

It's that time again, where midterm exams are approaching for all students. Understanding the concerns surrounding review topics, we would like to inform you about a series of review sessions organized by the Student Union of the Faculty of Computer Networks and Communications. If you still feel unsure, let's prepare together for the upcoming battle! We believe that these review hours, alongside the Student Union, promise to be helpful! Date and Location: Computer Architecture: 8:00 AM, Thursday, April 11th, 2024 - Room: B1.18 Discrete Structures: 8:30 AM, Friday, April 12th, 2024 - Room: B1.18 Introduction to Computer Networks: 8:00 AM, Saturday, April 13th, 2024 - Room: B1.14 ️Looking forward to seeing you in the upcoming review sessions! Detailed Information: https://www.facebook.com/uit.nc/posts/pfbid02tz2kxQ6GwzE22CyZMMEcXpHJ34FLRbkKSz2iGAWrJ89grgHVpAn6BUHeReQH527l Đông Xanh - Media Collaborator, University of Information Technology English version: Phan Huy Hoang

Hello to all students of the Faculty of Computer Networks and Communications! To support students in writing thesis proposals and conducting research projects for the 2024 academic year, the Faculty of Computer Networks and Communications is organizing a seminar to introduce the process and provide guidance on writing thesis proposals for undergraduate research projects. Additionally, research directions from the Faculty's research groups: UiTiOt, InSecLab, and IEC will also be presented during this seminar. Seminar Information: Date and Time: 7:00 PM, Monday, April 15, 2024 Format: Online via MS Teams Registration Link: https://link.uit.edu.vn/seminar-mmttt Proposed Program: 7:00 – 7:20 PM: Dr. Le Kim Hung (IEC Research Group) – AI in computer networks 7:20 – 7:40 PM: Mr. Dang Le Bao Chương (UiTiOt Research Group) – Applying reinforcement learning to unmanned aerial vehicle control 7:40 – 8:00 PM: Mr. Phan The Duy (InSecLab) – Adaptive Security Intelligence for coping with malware infection campaigns 8:00 – 8:20 PM: Mr. Nguyen Khanh Thuat – Responsible for undergraduate research projects at the Faculty of Computer Networks and Communications – Guidance on the process and writing of thesis proposals for undergraduate research projects For further details, please contact Mr. Nguyen Khanh Thuat (thuatnk@uit.edu.vn). See you at the seminar day Detailed Information: https://nc.uit.edu.vn/nckh/nghien-cuu/thu-moi-tham-du-seminar-huong-dan-viet-thuyet-minh-nckhsv-va-gioi-thieu-huong-nghien-cuu.html Đông Xanh - Media Collaborator, University of Information Technology English version: Phan Huy Hoang

Members of TeamQ - Wanna.W1n Club (UIT) are participating in the YDCC 2024 - Digital Security Hackathon, which lasts for 36 consecutive hours, starting from Saturday, April 13, 2024, at the University of Economics Ho Chi Minh City (UEH). The Youth Digital Citizen Challenge (YDCC) - Digital Security Hackathon is a technological playground jointly organized by the United Nations Development Programme (UNDP) in Vietnam, the Embassy of the Netherlands in Hanoi, and the Consulate General of the Netherlands in Ho Chi Minh City, with support from the UEH Institute for Innovation and Creativity. This year, the YDCC 2024 competition returns with the theme: "Building innovative technology products or solutions to enhance awareness and prevent risks related to information security in the digital space," aiming to seek and nurture technological solutions to enhance safety in the digital space, improve electronic governance efficiency, and promote the national digital transformation process. Throughout the upcoming 36-hour Hackathon, participating teams will be provided with full logistical support, technical assistance, and mentoring from experts, promising to bring breakthrough ideas from young talents in the field of Information Security. Detailed Information: https://www.facebook.com/inseclab/posts/pfbid0jQyB88z28T3WLG3SSqoJBUyPi12iD3FBDnRE77xetGu7ALbbeMGM5HfoaaJFadLjl Đông Xanh - Media Collaborator, University of Information Technology English version: Phan Huy Hoang

CH1902033 - Nguyen Trong Minh Hong Phuoc In today's context, with the explosion of Information Technology (IT) and its auxiliaries, our lives are undergoing a significant transformation. This relentless development in IT sectors poses a major challenge: how to maintain competitiveness and adaptability. In this context, data digitization is becoming a top priority. Simultaneously, it opens up significant opportunities for sophisticated attackers. Attackers and information thieves are becoming increasingly cunning, always seeking unauthorized access to data storage systems. It's noteworthy that traditional rule-based detection systems are gradually becoming weak and even outdated when faced with the sophistication of modern attacks. With the idea of ​​combining the advantages of two methodological groups in the IDS problem: Machine Learning-based and Deep Learning-based, this topic selects the combination to create a feature template of network activity data with high discrimination as follows: A feature template with high discrimination, selected and contributing to distinguishing network attacks and normal states, less affected by noise. Learning from features based on DL techniques allows learning important features from network data. Experiments conducted using the dataset of the University of New Brunswick, Canada (NSL-KDD) show that the proposed method outperforms existing published methods. Best regards. For more information, please visit: https://fit.uit.edu.vn/index.php/tin-tuc/goc-hoc-tap/6611-phat-hi-n-xam-nh-p-s-d-ng-xgboost-d-l-a-ch-n-tinh-nang-v-i-logarithmic-autoencoder-va-bidirectional-lstm Đông Xanh - Media Collaborator at University of Information Technology

With exam season upon us once again, there are new challenges awaiting you in the upcoming semester. But fear not, because the Soft Study Committee is here to guide you through, helping you explore the closest exam formats and addressing any lingering questions you may have during your studies. Always concerned about your progress and convenience, the Study Committee has been and will continue to be dedicated to ensuring your success. Therefore, this article provides you with valuable training materials meticulously prepared by the Study Committee to equip you for the upcoming "Midterm Battle". Below are the study materials tailored for cohorts K17 and K18, covering fundamental subjects that pose significant challenges to learners. With these resources, we believe you can utilize them to achieve the best possible scores. K18 Materials Probability and Statistics Material: https://tinyurl.com/slide-xstk-gk2 Discrete Structures Material: https://tinyurl.com/slide-ctrr-gk2 K17 Materials Operating Systems Material: https://tinyurl.com/slide-hdh-gk2 Remember, these materials will be updated after each training session! Don't forget to share this article to save these resources and share them with your friends. Wishing you all the best of luck and success in the upcoming exams. Detailed Information: https://www.facebook.com/share/p/guD87zcUDCd3Aznh/?mibextid=WC7FNe Hạ Băng - Media Collaborator, University of Information Technology English version: Phan Huy Hoang

The Midterm II training series of the Information Systems Study Group has officially come to an end. It is hoped that with the review sessions and practice tests, you have fully prepared your knowledge, grasped many useful tips for exam-taking, and cultivated a relaxed and confident mindset to achieve those enticing perfect scores ahead. The Information Systems Study Group sends you the Training materials: https://bit.ly/TaiLieu-BHTHTTT And now, let's together reminisce about the incredibly fun and adorable moments from the recent training series with the Information Systems Study Group! For more details, visit: https://www.facebook.com/BHTHTTT/posts/pfbid02VdLFdTCErXJSnqCASm42QPc76mLKUYa4AVGYo9u1A3BhAxDbAJFrcCJTRgY5xoMil  Ha Bang - Media Collaborator, University of Information Technology Nhat Hien - Translation Collaborator, University of Information Technology

Student researchers: Vo Chon Chanh (20521122) - Le Thi Lan Anh (20521067) - Duong Thi Ngoc Anh (20521062) Content: Problem Statement According to the definition of Brunsden and Cruden, soil erosion is the downhill movement of debris, rocks, or soil materials under the influence of gravity. It occurs when the driving force exceeds the resistance due to the instability of natural slopes or rocks. Natural slopes can become unstable due to natural and human factors, including improper land use, loss of vegetation cover, heavy and prolonged rainfall, weathering and strong cracking of rocks, erosion of channels and riverbanks, earthquakes, and urbanization without planning (Woldearegay, 2013; Wubalem and Meten, 2020). Riverbank erosion is the result of various impacts, from geological factors, topography, hydrology, climate to human factors. With the influence of the tidal regime, the study area is influenced by the uneven semi-diurnal tide regime of the East Sea, with a large tidal range of about 2-4 meters. With such tidal and tidal range, the tidal wave propagation speed is very fast, creating a large flow velocity, especially at the river mouth, causing erosion of the seabed. Furthermore, due to the influence of the coastline structure and sediment deposition, with the coastline structure mainly consisting of mud and fine sand, under the influence of waves and wind, the surface structure of the coastline will be broken if there is no surface vegetation cover. Due to the very fine grain size, most of the broken shoreline materials will be converted into suspended silt and sand, easily carried away by waves and currents to other locations. Therefore, the coastline is vulnerable to damage without vegetation cover or mangrove forests for protection. Erosion occurs seriously in many places around the world. In Southeast Asia, the Mekong Delta of Vietnam has experienced and is experiencing erosion phenomena due to the dual impact of climate change, rising sea levels; water exploitation from upstream; the impact of the internal development of the region. In recent years, the erosion of river and canal systems, coastal erosion, has been occurring in most provinces and cities in the region, with increasingly serious and complex levels, increasing both in scope and intensity. The purpose of this study is to investigate the extent of erosion and sedimentation around the area of rivers and coastlines affecting the Mekong Delta. At the same time, identify influencing factors through quantitative methods. The use of mainly quantitative methods revolves around statistical analysis, correlation, and regression to understand the causes of soil erosion. These methods are highly accurate due to mathematical foundations that help identify influencing factors more easily than qualitative methods. Through this research, a machine learning model is created through learning with various methods to predict erosion points to establish an erosion prediction map in the Mekong Delta region. The area we are studying is illustrated in Figure 1. Methodology Vector map objects (areas, lines, points) will be extracted using tools in QGIS, then distances and erosion levels will be calculated. After that, the attributes will be normalized and exported to an Excel format for data mining analysis. In this study, we use two quantitative methods: statistics and correlation analysis to find the factors influencing erosion areas. The data will be divided into two parts (80:20), training and testing data will be randomly selected based on statistical factors. Additionally, vector maps will be rasterized to facilitate overlaying maps and calculations on vectors to create prediction maps. The data will be fed into training and a machine learning model will be created to predict erosion points and generate a prediction map of erosion levels. The experimental method is shown in Figure 2. Conclusion In this study, we focused on solving the main problem of predicting and mapping erosion and sedimentation in the Mekong Delta through quantitative analysis. We also created a highly accurate erosion prediction model with a Logistic Regression machine learning model achieving an accuracy of 0.89 with 9 attributes and classification into 6 levels of erosion and sedimentation. We addressed challenges related to distance calculations in coordinates and reality, land classification, and accessing map information. However, there are still limitations in erosion data in the Mekong Delta area due to the limited amount of data, resulting in inaccuracies in predicting erosion locations. In the future, we will continue to collect more erosion points and enhance the dataset to improve the accuracy of the prediction map. Sincerely Detailed Information: https://fit.uit.edu.vn/index.php/tin-tuc/goc-hoc-tap/6598-du-doan-cac-diem-sat-lo-va-boi-lang-tren-dong-bang-song-cuu-long-bang-cac-mo-hinh-hoc-may Đông Xanh - Media Collaborator, University of Information English version: Phan Huy Hoang

Time: from 15:00 to 16:30, Monday, April 8, 2024. Venue: Tran Chi Dao Hall, VNU HCM Headquarters. Language: Vietnamese (with interpretation for Deakin University delegates). (Except for the lecture by Prof. Sunil Gupta in English). Presentations: Prof. Truyen Tran, Head of the Artificial Intelligence, Healthcare, and Science Group, Institute of Applied Artificial Intelligence: Generative AI -- shifting the landscape of AI. Prof. Sunil Gupta, Head of the Artificial Intelligence, Optimization, and Materials Discovery Group, Institute of Applied Artificial Intelligence: AI for Accelerating Scientific Discoveries. Associate Professor Tran Minh Triet, Vice Rector of the Faculty of Natural Sciences, VNUHCM: Application of AI and Human-Computer Interaction in Smart Healthcare. Detailed Information: https://www.facebook.com/UIT.Fanpage/posts/pfbid02hBfDVqinxAA2J6gkN8kSGKjY2WtTz4ExRw1UM7R7ivbmV65GTvpegfcpuzay5ZsNl Đông Xanh - Media Collaborator, University of Information English version: Phan Huy Hoang

Time flies by so fast, and we are already approaching the midterm exams of the second semester. How far along are you with your revision? Don't worry, the Study Committee is here to accompany you, and we have prepared mock exam papers to help you prepare for the upcoming exams. Quickly click on the links below to download and start practicing. Mock exam papers: For K17: Operating Systems: https://tinyurl.com/dethi-hdh-gk2 For K18: Discrete Structures: https://tinyurl.com/dethi-ctrr-gk2 Probability and Statistics: https://tinyurl.com/dethi-xstk-gk2 We will also organize detailed exam-solving training sessions, so stay tuned for the upcoming schedule from the Study Committee. Detailed Information: https://www.facebook.com/bhtcnpm/posts/pfbid02s8PvuxH6URK4wD7yS3LfSYjSzn9gtPNMrbHTDbyX3o22xb8A8qt7WhoG5AYBNGFNl Hạ Băng - Media Collaborator, University of Information Technology English version: Phan Huy Hoang