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17th International Conference on COMmunication Systems and NETworkS, COMSNETS 2025

作者： Vivek, Yelleti Ravi, Vadlamani Mane, Abhay Naidu, Laveti Ramesh Institute for Development and Research in Banking Telangana Hyderabad India Center for Development of Advanced Computing Karnataka Bangalore India

ISBN: (纸本)9798331531195

Effective risk management and compliance adherence are paramount for the success of financial institutions and organizations. However, they often face significant challenges due to fraudulent activities, with ATM fraud, among others, emerging as a prevalent issue in today's banking landscape. We proposed a novel profiling-based one-class classification (OCC) method to solve this problem. Then training phase of our approach employs the K-Means clustering algorithm to cluster non-fraudulent transactions exhibiting similar characteristics and patterns. A rule is generated from each cluster, thereby in a rule set comprising K rules, each consisting of conditions based on the lower and upper bounds on all features. This rule set is employed to identify fraudulent transactions presented in the test phase because ours is an OCC method. One distinctive feature of our approach is its interpretability and explainability, which is crucial for understanding the model's predictions. Overall, our proposed approach demonstrates the best performance vis-à-vis that of various state-of-the-art OCC methods in terms of classification rate. Additionally, we provide sensitivity analysis by varying the number of conditions violated across the K rules. © 2025 IEEE.

关键词： Sensitivity analysis

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EEG-Based Real-Time Prediction of Cognitive State on Smartphone 1

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3rd International Conference on "Emerging Trends and Technologies on Intelligent Systems" (ETTIS-2023)

作者： Jain, Priyanka Sharma, Greeshma Kirode, Piyush Koria, Harsh Deep, Aakash Jain, Naveen Kumar Center for Development of Advanced Computing New Delhi India

ISBN: (数字)9789819939633

ISBN: (纸本)9789819939626

With the pace of high cutting-edge technical solutions, the ease of availability and affordability are the parameters which affect the accessibility of it to the general mass. This motivated us for a handy real-time analysis of human cognitive state using smartphones. In a technology-driven society, it is very important to measure and predict meaningful brain signals in real time. As electroencephalograph (EEG) represents a solution that has high temporal resolution, it becomes a useful tool for society. One such application is to understand that attention is useful for learning and relaxation is useful for health. This research paper provides a framework that gives insight into mobile-based real-time mental state visualization along with levels of attention and relaxation. The framework is built with an Indian-made, eight-channel EEG device (neuphony). This is the first study to show a brain-mobile interface for omnipresent, prevalent computing. We eventually construct a sophisticated mobile-based EEG monitoring system by combining signal processing algorithm with an Android mobile application and we verify its effectiveness using real-time EEG data. © 2023, The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd.

关键词： Smartphones

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Deep Neural-Based Machine Translation Using RNN for Indian Languages 7th

Deep Neural-Based Machine Translation Using RNN for Indian L...

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7th International Conference on advanced computing and Intelligent Engineering, ICACIE 2022

作者： Singh, Shashi Pal Kumar, Ajai Pundir, Kanishka AAIG Center for Development of Advanced Computing Pune India Banasthali Vidyapith Rajasthan Banasthali India

ISBN: (纸本)9789819950140

This study describes how to develop a machine learning system for the translation of Indian languages (Hindi, Gujarati, and Punjabi) using a form of deep neural network (DNN). We are employing a form of RNN called long short-term memory (LSTM). The state-of-the-art algorithm for sequential data is recurrent neural networks (RNNs). This research work pertaining to RNN-based translation of Indian Languages involved experimenting with nmt models (unidirectional nmt and bidirectional) and their hyperparams to devise results important from real-world perspective. We employed the neural machine translation (NMT) model to get the best results. Unlike the standard phrase-based translation system, which consists of many small sub-components that are tweaked independently, this approach allows a single system to be trained directly on the source and target text and attempts at neural machine translation. © The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. 2024.

关键词： Long short-term memory

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Design of an AI-enabled Crime Value Index Evaluation System for Geo-location based on Crime Data Analysis 4

Design of an AI-enabled Crime Value Index Evaluation System ...

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4th International Conference on Inventive Research in computing Applications, ICIRCA 2022

作者： Prashant Jain, Peeyush Choudhary, Saomya Center for Development of Advanced Computing Department of Artificial Intelligence Mohali India Center for Development of Advanced Computing Department of Cyber Security Mohali India

ISBN: (数字)9781665497077

ISBN: (纸本)9781665497077

Intentionally inflicting injury on another individual, whether physical, psychological, or financial, is a crime. It is a widespread and complex societal problem that has an impact on people's quality of life, economic progress, and national prestige. Many scholars have studied the rise in criminality in recent years, as various social, economic, and environmental developments happened in all parts of the world as a result of increased urbanization, with governors facing even greater issues. Focus has been placed on improving urban transportation, health, and public safety. The conventional crime rate conveys the information about the number of occurrences recorded by the police for a certain population. It's a measure of how many incidents of criminal activity were reported to the authorities. The rate is determined by dividing the total number of crimes reported to and investigated by law enforcement agencies by the population at large. The rate accounts for all crimes equally, regardless of category or severity. For instance, one murder is equivalent to one rape. Here, the crime index value is calculated which is very important for crime analysis. With the help of the Crime Index, the user can easily visualize the increase or decrease in the crime rate as recorded by the police. It achieves so by not considering the change in volume of a certain crime, but also the severity of that crime in contrast to other crimes © 2022 IEEE.

关键词： Crime

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Automatic Evaluation for Machine Translation 1

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7th International Conference on Smart Trends in computing and Communications, SmartCom 2023

作者： Singh, Shashi Pal Kumar, Ajai Saxena, Aarti Verma, Richa AAIG Center for Development of Advanced Computing Pune India Banasthali Vidyapith Rajasthan Banasthali India

ISBN: (数字)9789819907694

ISBN: (纸本)9789819907687

Language is the primary mode of communication. Communication is the only way to convey our thoughts and emotions to others. But there are many languages that we don't know how to speak and we can't learn all languages so quickly which is why Machine Translation systems were invented to help us communicate with anyone from anywhere. Researchers started working on Machine Translation Systems in the 1950s and have developed various amazing techniques to make our communication easy. Machine Translation Evaluation (MTE) Methodology checks the accuracy of the translations done by Machine Translation Tools. It is extremely important because while developing the translation systems, it constantly checks the performance and helps us to make appropriate changes in the system for bringing accuracy. Mostly it is done by comparing the output of machine translation systems with the translation(s) done by Human beings, there are also some techniques that do not require any reference sentences. In our project, we are using four Automated Machine Translation Evaluation metrics which are TER (Translation Error Rate), METEOR (Metric for Evaluation of Translation with Explicit Ordering), BLEU (Bilingual Evaluation Understudy), and NIST (National Institution of Standards and Technology) for English-Hindi Translation. © 2023, The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd.

关键词： Technology transfer

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Quantum Secure Key Management & Delivery Protocol in the QKD framework 5

Quantum Secure Key Management & Delivery Protocol in the QKD...

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5th IEEE India Council International Subsections Conference, INDISCON 2024

作者： Harmalkar, Manjiri Jain, Kurunandan Aneesh Kumar, K.B. Krishnan, Prabhakar Amrita Vishwa Vidyapeetham Amritapuri Amrita Center for Cybersecurity Systems and Networks India Center for Development of Advanced Computing Cyber Security Group Kerala Thiruvanathapuram India

ISBN: (纸本)9798350376753

The current Quantum Key Distribution (QKD) key delivery API relies on HTTPS for secure communication. It is vulnerable to quantum computer threats due to its use of public key cryptography. To mitigate insider attacks, leveraging quantum computing threats within the security boundary and encrypting communication between the application and the KMS is essential. This paper focuses on simulating a 2-node QKD topology using the DARPAN Application. Additionally, we conduct tests on QKD KMS APIs with the Postman tool to ensure consistent retrieval of shared keys at both communication endpoints. Through our simulations and tests, we aim to validate the effectiveness and reliability of the proposed approach in securely managing cryptographic keys within the QKD-network. © 2024 IEEE.

关键词： Quantum communication

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Software Defined Network Based Error Correction Mechanism in Quantum Key Distribution 5

Software Defined Network Based Error Correction Mechanism in...

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5th IEEE India Council International Subsections Conference, INDISCON 2024

作者： Shajahan, Rasha Jain, Kurunandan Aneesh Kumar, K.B. Krishnan, Prabhakar Amrita Vishwa Vidyapeetham Amritapuri-campus Center for Cybersecurity Systems and Networks India Center for Development of Advanced Computing Cyber Security Group Kerala Thiruvanathapuram India

ISBN: (纸本)9798350376753

Quantum Key Distribution (QKD) is a secure communication method that uses quantum mechanics to exchange secret keys. Currently, the QKD process uses a static error correction method, which can lead to inaccuracies and inefficient resource use. The project aims to develop a new QKD error correction method that adapts dynamically based on real-time Quantum Bit Error Rate (QBER) measurements and Software Defined Networking (SDN) principles. Two specific error correction mechanisms, the 2D Parity check and the Cascade Protocol, will be used to match the QBER value. The investigation will be conducted using the DARPAN application, providing a quantum-enabled environment. © 2024 IEEE.

关键词： Quantum cryptography

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Automatic 3D modeling and exploration of indoor structures from panoramic imagery 24

Automatic 3D modeling and exploration of indoor structures f...

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2024 SIGGRAPH Asia 2024 Courses, SA Courses 2024

作者： Gobbetti, Enrico Pintore, Giovanni Agus, Marco National Research Center in High-Performance Computing Big Data and Quantum Computing Cagliari Italy Visual and Data-intensive Computing Center for Advanced Studies Research and Development in Sardinia Cagliari Italy College of Science and Engineering Hamad Bin Khalifa University Doha Qatar

ISBN: (纸本)9798400711350

Surround-view panoramic imaging delivers extensive spatial coverage and is widely supported by professional and commodity capture devices. Research on inferring and exploring 3D indoor models from 360° images has recently flourished, resulting in highly effective solutions. Nevertheless, challenges persist due to the complexity and variability of indoor environments and issues with noisy and incomplete data. This course provides an up-to-date integrative view of the field. After introducing a characterization of input sources, we define the structure of output models, the priors exploited to bridge the gap between imperfect input and desired output, and the main characteristics of geometry reasoning and data-driven approaches. We then identify and discuss the main sub-problems in indoor reconstruction from panoramas and review and analyze state-of-the-art solutions for indoor capture, room modeling, integrated model computation, visual representation generation, and immersive exploration. Relevant examples of implemented pipelines are described, focusing on deep-learning solutions. We finally point out relevant research issues and analyze research trends. © 2024 Copyright held by the owner/author(s).

关键词： 3D reconstruction

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EEG-Based Eye Blink Detection and Interpretation for Human-Computer Interaction and Communication

EEG-Based Eye Blink Detection and Interpretation for Human-C...

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2024 International Conference on Brain Computer Interface and Healthcare Technologies, iCon-BCIHT 2024

作者： Deepu, S.S. Chithra, P. Panicker, Praveen Suboodh, P.S. Binu, P.J. Dhanya, M.R. Anusree, V. Archana, M.S. Athira, B.K. Health and Technology Group Center for Development of Advanced Computing Kerala Thiruvanathapuram India Government Medical College Department of Neurology Kerala State Thiruvananthapuram India

ISBN: (纸本)9798331540067

This research develops a real-time Brain-Computer Interface (BCI) for interpreting eye blinks as a means of hands-free communication, particularly useful for individuals with limited mobility or in high-focus tasks. Combining machine learning (ML) and signal processing, the study detects voluntary eye blinks with high accuracy. Data from 20 participants were analyzed using a random forest classifier, achieving accuracy between 85.29% and 92.15%. A peak detection method further improved blink detection accuracy to over 98%. This system enhances accessibility in various interactive environments, improving life quality for those with disabilities. © 2024 IEEE.

关键词： Adversarial machine learning

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A survey on federated learning:a perspective from multi-party computation

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Frontiers of Computer Science 2024年第1期18卷 93-103页

作者： Fengxia LIU Zhiming ZHENG Yexuan SHI Yongxin TONG Yi ZHANG Institute of Artificial Intelligence and Key Laboratory of Mathematics Informatics Behavioral Semantics Beihang UniversityBeijing 100191China State Key Laboratory of Software Development Environment and Advanced Innovation Center for Future Blockchain and Privacy Computing Beihang UniversityBeijing 100191China Pengcheng Laboratory Shenzhen 518055China Zhongguancun Laboratory Beijing 100190China Institute for Mathematical Sciences and Engineering Research Center of Financial Computing and Digital Engineering Renmin University of ChinaBeijing 100872China

Federated learning is a promising learning paradigm that allows collaborative training of models across multiple data owners without sharing their raw *** enhance privacy in federated learning,multi-party computation can be leveraged for secure communication and computation during model *** survey provides a comprehensive review on how to integrate mainstream multi-party computation techniques into diverse federated learning setups for guaranteed privacy,as well as the corresponding optimization techniques to improve model accuracy and training *** also pinpoint future directions to deploy federated learning to a wider range of applications.

关键词： sfederated learning multi-party ycomputation privacy-preserving data mining distributed learning

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