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1st International Conference on Computing, sciences and Communications, ICCSC 2024

作者： Mathur, Abeer Dubey, Abhinav Sudhakar Mahara, Pranav Singh Gandhi, Usha Devi School of Computer Science & Engineering Vellore Institute of Technology Department of Software Systems Vellore India School of Computer Science Engineering & Information Systems Vellore Institute of Technology Department of Information Technology Vellore India

ISBN: (纸本)9798350353648

With the ever-rising risk of phishing attacks, which capitalize on vulnerable human behavior in the contemporary digital space, requires new cybersecurity methods. This literary work contributes to the solution by novel incorporation of three techniques: Support Vector Machine (SVM), Natural Language Processing (NLP) and Random Forest (RF). Utilizing NLP for deep analysis of text in phishing e-mails, SVM for strong categorization and Random Forest's decision making by group helps in improving detection. This combination of language and pattern analysis along with group learning builds a fortified system. This approach differs from prior work on a variety of factors such as reliability, security, integrity, scalability, interpretability, transparency, and robustness. Thorough evaluation on a reliable dataset aimed to demonstrate the method's effectiveness, which resulted in 98.7 % of accuracy in detection. This majorly aims at showcasing the potential of ensemble techniques to combat against cyber-attacks like phishing for laying a strong foundation for a secure digital environment. © 2024 IEEE.

关键词： Phishing

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Enhancing Early Childhood Learning using Image Processing for Sinhala Medium Education 5

Enhancing Early Childhood Learning using Image Processing fo...

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5th International Conference on Advancements in Computing, ICAC 2023

作者： Saranga, R.G.V. Jayasinghe, A.H.N. Divyantha, U.A.S. De Silva, S.W.L.P. Swarnakantha, N.H.P. Ravi Supunya Kumari, P. K. Suriya Sri Lanka Institute of Information Technology Faculty of Computing Department of Computer Science and Software Engineering Malabe Sri Lanka Sri Lanka Institute of Information Technology Faculty of Computing Department of Information Technology Malabe Sri Lanka

ISBN: (纸本)9798350358131

The study aims to develop a mobile application for young children to learn Sinhala letters, shapes, colors, and storytelling incorporating machine learning models to evaluate and enhance educational activities. With the rise of online education during the COVID-19 pandemic, the familiarity of children with mobile devices provides an opportunity to create an engaging and educational experience. The application will teach Sinhala letters using object images, allowing children to upload their own images for feedback. It also includes a feature for children to practice writing letters and analyze their progress. Also, the application introduces colors and shapes in Sinhala, encouraging children to draw and track their improvement. Additionally, the application aims to generate stories in Sinhala to improve children's creativity and thinking knowledge. This research addresses a critical gap in existing Sinhala learning applications by integrating machine learning for activity assessment, promising to significantly impact and improve early language education for children. © 2023 IEEE.

关键词： Image enhancement

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Formal verification for security and attacks in IoT physical layer

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Journal of Reliable Intelligent Environments 2024年第1期10卷 73-91页

作者： Toman, Zinah Hussein Hamel, Lazhar Toman, Sarah Hussein Graiet, Mohamed Valadares, Dalton Cézane Gomes Department of Computer Science FSM Al-Monastir University Monastir Tunisia Department of Computer Science Faculty of Computer Science and Information Technology Al-Qadisiyah University Al Diwaniyah Iraq Department of Computer Science ISIMM Al-Monastir University Monastir Tunisia IMT Atlantique LS2N Nantes France Federal Institute of Pernambuco/Federal University of Campina Grande Campina Grande Brazil

IoT devices are more important than ever. In a connected world, IoT devices have many uses. They are no longer merely used at work;they are part of our everyday lives. Security concerns arise if the devices generate, collect, or process sensitive data. Physical layer security controls are the cornerstone once the risk for humans increases when physical security fails. To achieve security in IoT devices, preventing is better than detecting. Formal verification is an important and valuable tool for detecting possible vulnerabilities and ensuring data security. Thus, this paper proposes an Event-B proof-based formal model of IoT physical layer security and attacks from the requirements analysis level to the goal level. Our model is built incrementally using a refining method during design and verification. We present a three-level formal approach: first, the construction of the IoT physical layer;then, we check for IoT physical layer vulnerabilities by processing the lack of some characteristics that cause these vulnerabilities, such as speed, typical bandwidth, and power consumption;lastly, we detect physical layer attacks like jamming and MAC spoofing, which helps to build security proofs. Our approach uses an electrocardiogram (ECG) IoT system as a case study, and as an additional case study to back up the proposed method’s generalizability, we used a fire alarm system. Also, we use the proof obligations and the ProB animator in the Rodin model checking tool to check and validate our approach. © The Author(s), under exclusive licence to Springer Nature Switzerland AG 2023.

关键词： Internet of things

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Notification system and GPS Position Tracking as a Security Feature for Child Pick Up At Daycare

Notification System and GPS Position Tracking as a Security ...

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2022 International Symposium on information technology and Digital Innovation, ISITDI 2022

作者： Aisuwarya, Ratna Erlina, Tati Sabyl, Syafajar Ahmad Andalas University Faculty Of Information Technology Computer Engineering Department Padang Indonesia

ISBN: (数字)9781665461160

ISBN: (纸本)9781665461160

On the Internet of Things (IoT) era, specialized applications are highly demanded to solve real-life problems. We apply Haversine Formula in our proposed notification system and GPS position tracking method and choose daycare as our experimental object. The aim is to create a system that automatically connects teachers in daycare and parents when they are picked up. It allows teachers to track parents' location on the maps. This system is built using an Android-based application called 'Child Pick Up (CPU)' with the login page being the first page that will appear when logging into the application. There is an option to sign up for a new parent account on this page. Then, the daycare teacher can verify the account. 'CPU' application can send two notifications, when parents press the pickup button and when parents are less than 100 m from daycare. Based on the testing and analysis in this research, it can be concluded that the system can track a parent's location based on GPS position. The average distance when the second notification appears on the teacher's smartphone in daycare is 87.22 m. The pickup and arrival time is recorded on Firebase. © 2022 IEEE.

关键词： Global positioning system

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IMAN: An Adaptive Network for Robust NPC Mortality Prediction with Missing Modalities

IMAN: An Adaptive Network for Robust NPC Mortality Predictio...

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2024 IEEE International Conference on Bioinformatics and Biomedicine, BIBM 2024

作者： Huo, Yejing Huang, Guoheng Cheng, Lianglun He, Jianbin Chen, Xuhang Yuan, Xiaochen Zhong, Guo Pun, Chi-Man Guangdong University of Technology School of Computer Science and Technology China Huizhou University School of Computer Science and Engineering China University of Macau Department of Computer and Information Science China Macao Polytechnic University Faculty of Applied Sciences China Guangdong University of Foreign Studies School of Information Science and Technology China

ISBN: (纸本)9798350386226

Accurate prediction of mortality in nasopharyngeal carcinoma (NPC), a complex malignancy particularly challenging in advanced stages, is crucial for optimizing treatment strategies and improving patient outcomes. However, this predictive process is often compromised by the high-dimensional and heterogeneous nature of NPC-related data, coupled with the pervasive issue of incomplete multi-modal data, manifesting as missing radiological images or incomplete diagnostic reports. Traditional machine learning approaches suffer significant performance degradation when faced with such incomplete data, as they fail to effectively handle the high-dimensionality and intricate correlations across modalities. Even advanced multi-modal learning techniques like Transformers struggle to maintain robust performance in the presence of missing modalities, as they lack specialized mechanisms to adaptively integrate and align the diverse data types, while also capturing nuanced patterns and contextual relationships within the complex NPC data. To address these problem, we introduce IMAN: an adaptive network for robust NPC mortality prediction with missing modalities. IMAN features three integrated modules: the Dynamic Cross-Modal Calibration (DCMC) module employs adaptive, learnable parameters to scale and align medical images and field data;the Spatial-Contextual Attention Integration (SCAI) module enhances traditional Transformers by incorporating positional information within the self-attention mechanism, improving multi-modal feature integration;and the Context-Aware Feature Acquisition (CAFA) module adjusts convolution kernel positions through learnable offsets, allowing for adaptive feature capture across various scales and orientations in medical image modalities. Extensive experiments on our proprietary NPC dataset demonstrate IMAN's robustness and high predictive accuracy, even with missing data. Compared to existing methods, IMAN consistently outperforms in scenarios with incom

关键词： Patient treatment

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POSTER: A behavioral biometric authentication framework on smartphones

POSTER: A behavioral biometric authentication framework on s...

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2017 ACM Asia Conference on computer and Communications Security, ASIA CCS 2017

作者： Mahfouz, Ahmed Mahmoud, Tarek M. Eldin, Ahmed Sharaf Computer Science Department Minia University EL-Minya Egypt Cairo Egypt Information Systems Department Helwan University Egypt Faculty of Information Technology and Computer Science Sinai University Egypt

ISBN: (纸本)9781450349444

To protect smartphones from unauthorized access, the user has the option to activate authentication mechanisms : PIN, Password, or Pattern. Unfortunately, these mechanisms are vulnerable to shoulder-surfing, smudge and snooping at- tacks. Even the traditional biometric based systems such asfingerprint or face, also could be bypassed. In order to pro- tect smartphones data against these sort of attacks, we pro- pose a behavioral biometric authentication framework that leverages the user's behavioral patterns such as touchscreen actions, keystroke, application used and sensor data to au- thenticate smartphone users. To evaluate the framework, we conducted a field study in which we instrumented the Android OS and collected data from 52 participants during 30-day period. We present the prototype of our framework and we are working on its com- ponents to select the best features set that can be used to build different modalities to authenticate users on different contexts. To this end, we developed only one modality, a gesture authentication modality, which authenticate smart- phone users based on touch gesture. We evaluated this au- thentication modality on about 3 million gesture samples based on two schemes, classification scheme with EER 0.004, and anomaly detection scheme with EER 0.10. © 2017 ACM.

关键词： Smartphones

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Design of Bicycle's Speed Measurement system Using Hall Effect Sensor 1

Design of Bicycle's Speed Measurement System Using Hall Effe...

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1st International Conference computer science and Engineering, IC2SE 2019

作者： Aisuwarya, Ratna Azmi Riyan, Muhammad Eka Putri, Rahmi Computer Engineering Department Faculty of Information Technology Universitas Andalas Padang Indonesia

Bicycles are an easy-to-use and affordable transportation tool for all society. However, in cycling, there is no information about the speed and distance that has been taken. Whereas, these parameters are quite essential because knowing that we can adjust the speed of the bicycle if we are going to the office or school so that we can estimate the time of arrival to reach the destination. Commonly, the device used to measure the speed and distance of a bicycle is a device with a GPS feature as a system based on geographical location. However, this device measures speed by knowing the position of the user captured by the satellite, not resulting from the actual speed of a bicycle. In this research, the designed system can measure the actual speed of a bicycle using the rotational speed of a bicycle wheel. The system implemented by using the Hall Effect sensor that will detect the magnet. The microcontroller then processes the data and convert the rotation per second into linear velocity. Then, information on speed, distance, and average speed are displayed to the LCD screen. After testing and analyzing the bicycle speed and distance measuring system using the Hall Effect sensor, we can conclude that The speed and distance of a bicycle can be measured by the hall effect sensor with the number of rotations that the Hall Effect sensor can detect up to 542 revolutions/minute. The final results of speed and distance can be displayed on the LCD, with the percentage error 2-3%. © Published under licence by IOP Publishing Ltd.

关键词： Speed

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Efficient representation of text with multiple perspectives

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The Journal of China Universities of Posts and Telecommunications 2012年第1期19卷 101-111页

作者： PING Yuan ZHOU Ya-jian XUE Chao YANG Yi-xian Information Security Center Beijing University of Posts and Telecommunications Beijing 100876 China Department of Computer Science and Technology Xuchang University Xuchang 461000 China Science and Technology on Electronic Control Laboratory Chengdu 610036 China

An effective text representation scheme dominates the performance of text categorization system. However, based on the assumption of independent terms, the traditional schemes which tediously use term frequency （TF） and document frequency （DF） are insufficient for capturing enough information of a document and result in poor performance. To overcome this limitation, we investigate exploring the relationships between different terms of the same class tendency and the way of measuring the importance of a repetitive term in a document. In this paper, a group of novel term weighting factors are proposed to enhance the category contribution for each term. Then, based on a novel strategy of generating passages from document, we present two schemes, the weighted co-contributions of different terms corresponding to the class tendency and the weighted co-contributions for each term in different passages, to achieve improvements on text representation. The prior scheme works in a dimensionality reduction mode while the second one runs in the conventional way. By employing the support vector machine （SVM） classifier, experiments on four benchmark corpora show that the proposed schemes could achieve a consistent better performance than the conventional methods in both efficiency and accuracy. Further analysis also confirms some promising directions for the future works.

关键词： text representation support vector machine （SVM） class tendency category contribution passages

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Design of Wearable Device for Monitoring the Position of A Person with Dementia 5

Design of Wearable Device for Monitoring the Position of A P...

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5th International Seminar on Research of information technology and Intelligent systems, ISRITI 2022

作者： Aisuwarya, Ratna Akbar, Ilham Universitas Andalas Faculty of Information Technology Computer Engineering Department Padang Indonesia

ISBN: (纸本)9781665455121

The incidence of missing persons with dementia is defined as wandering, a condition in which the person with dementia is lost track of their caregivers. We propose to develop a wearable system that can be used more effectively by people with dementia. The wearable device design aims to reduce the incidence of wandering in the dementia patient. The experimental results show that the system can determine the patient's position and the safe zone within a distance of 15 meters on the mobile application. The Euclidean formula for calculating the distance between a patient and a user as a caregiver or family gives relatively accurate results, with an average distance difference of 0.38 meters. The notification system in the form of vibration, sound, and background color on the application system can notify caregivers or families when the patient is outside a safe area with the coordinates of the patient and user with a 100% success rate. As a backup, SMS messages are sent by the system when the internet signal on the device is interrupted. Thus, the system can still send the location of the patient's google maps coordinates. It can be concluded that the system runs well when the device is in the zone and outside the safe zone. © 2022 IEEE.

关键词： Neurodegenerative diseases

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"Requirement Declarative Markup Language" for timetabling: A case study based development

"Requirement Declarative Markup Language" for timetabling: A...

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ICIIS 2007 - 2nd International Conference on Industrial and information systems 2007

作者： Liyanage, Arunasiri K. Udugama, L.S.K. Department of Information Technology Faculty of Information Technology University of Moratuwa Sri Lanka Department of Electrical and Computer Engineering Faculty of Engineering Technology Open University of Sri Lanka

ISBN: (纸本)1424411521

Preparation of timetables is one of the challenges in universities. Universities are attempting to automate the timetabling process. However neither the manual nor the automated system may give a 100% accurate timetable. Therefore it is important to verify whether the requirements are satisfactorily fulfilled after generating the timetable. Authors propose a scripting language, Requirement Declarative Markup Language (RDML), for this purpose. Using RDML all user requirements can be defined and verified. Finally authors describe how to use the RDML for verifying a timetable. ©2007 IEEE.

关键词： Markup languages

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