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2024 International Conference on Decision Aid Sciences and Applications, DASA 2024

作者： Ahmed, Amjed Abbas Kadhim, Aqeel Kamil Najim, Ali Hamza Ali Alheeti, Khattab M. Mohd Satar, Nurhizam Safie Abdallah Hashim, Aisa Hassan Universiti Kebangsaan Malaysia Center for Cyber Security Faculty of Information Science and Technology Bangi Malaysia Department of Computer Techniques Engineering Baghdad Iraq Department of Computer Technical Engineering Baghdad Iraq Department of Computer Technical Engineering Al-Diwaniyah Iraq College of Computer and Information Technology Computer Networking Systems Department University of Anbar Anbar Iraq Center for Cyber Security Faculty of Information Science and Technology Bangi43600 Malaysia International Islamic University Malaysia Faculty of Engineering Department of Electrical and Computer Engineering Selangor Malaysia

ISBN: (纸本)9798350369106

In VANETs, the important and effective applications of vehicle localization include safety and communication applications. Thus, it is difficult to get very accurate localization in the dynamic and often very fluctuating environment of VANET. This research responds to this challenge with a keen thrust on improving vehicle localization using the Mobility Data Verification process. The primary goal of this work is to achieve high accuracy of vehicle positioning within VANET by checking the coherence of mobility data of moving vehicles. Hence, we present a concept that builds upon Mobility Data Verification to provide real-time location details from vehicles. Both GPS and onboard sensors feed this method, which uses a multi-level verification to flag out or eliminate the errors of deliberately spoofed data points. We use simulations to evaluate and validate the effectiveness of the proposed verification approach. As the proposed system, our previously developed and fine-tuned weighted localization (OWL) strategy does so. The performance evaluation results suggest that our proposed solution is feasible to distinguish automobiles that are not trustworthy and improve the performance of the localization algorithm. © 2024 IEEE.

关键词： Vane pumps

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Performance Analysis of Energy and Secure Efficient Routing for Wireless Sensor networks

Performance Analysis of Energy and Secure Efficient Routing ...

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2024 International Conference on Decision Aid Sciences and Applications, DASA 2024

作者： Ahmed, Amjed Abbas Hussein, Zainab Mohammed Najim, Ali Hamza Ali Alheeti, Khattab M. Mohd Satar, Nurhizam Safie Abdallah Hashim, Aisha Hassan Universiti Kebangsaan Malaysia Center for Cyber Security Faculty of Information Science and Technology Bangi Malaysia Department of Computer Techniques Engineering Baghdad Iraq Baghdad Iraq Department of Computer Technical Engineering Al-Diwaniyah Iraq College of Computer and Information Technology Computer Networking Systems Department University of Anbar Anbar Iraq Center for Cyber Security Faculty of Information Science and Technology Bangi43600 Malaysia International Islamic University Malaysia Faculty of Engineering Department of Electrical and Computer Engineering Selangor Malaysia

ISBN: (纸本)9798350369106

Wireless Sensor networks (WSNs) are essential for various applications, but their architecture makes them vulnerable to attacks. While traditional security methods like authentication and encryption offer some protection, they often fall short against specific node attacks. This paper introduces the Secure Energy Aware Routing (SEAR) strategy, which uses trust-based assessments to exclude malicious nodes while optimizing energy consumption. SEAR factors in node trust, hop time, and residual energy to ensure reliable data transmission through trustworthy nodes. MATLAB simulations on networks of varying sizes (100-500) compare SEAR with existing methods (EAD and EASER), demonstrating SEAR's superior performance. Results show significant improvements in packet delivery ratio (13-16%), network throughput (19-24 %), energy consumption (32-36%), packet loss (16-190/0), and end-to-end latency (21-26%), proving SEAR's effectiveness in enhancing WSN security, energy efficiency, and performance. © 2024 IEEE.

关键词： MATLAB

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Applied Aspects of Polyharmonic Functions for security and Reliability of Data Transmission 8

Applied Aspects of Polyharmonic Functions for Security and R...

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8th International Symposium on Multidisciplinary Studies and Innovative Technologies, ISMSIT 2024

作者： Laptiev, Oleksandr Sobchuk, Andrii Ryzhov, Anton Perehuda, Oleh Tsygansvska, Iryna Kopytko, Serhii Taras Shevchenko National University of Kyiv Faculty of information technology Department of Cyber Security and Information Protection Kyiv Ukraine State University of Information and Communication Technologies Department of Information and Cyber Security Kyiv Ukraine Taras Shevchenko National University of Kyiv Faculty of Mechanics and Mathematics Department of General Mathematics Kyiv Ukraine Taras Shevchenko National University of Kyiv Faculty of Mechanics and Mathematics Department of Algebra and Computer Mathematics Kyiv Ukraine Lviv Polytechnic National University Department of Information Systems and Networks Lviv Ukraine

ISBN: (纸本)9798350354423

At present, when armed conflicts have intensified, and especially against the background of Russia's armed aggression against Ukraine, a new era of development of high-precision means of protection and weapons has begun. Their effectiveness is primarily determined by the state of radio-electronic technical means. These include means of communication and control, radar and hydroacoustics, telemetry, etc. Thus, the effectiveness of the solution of the tasks before the radio-electronic device depends on the class of signals used. In particular, the type of signal depends on the quality of the communication, the range, the resolution capabilities according to various parameters, the probability of detection, the quality of control, stealth, etc. But the detection of hidden signals requires high-quality signal processing with consistent mathematical analysis of the signal. This requires a powerful mathematical apparatus. As an example of signal processing, the article discusses methods of using signal transformation using polyharmonic operators. The transformation of signals by two types of operators is presented: the Abel-Poisson operator and the Weierstrass operator. The simulation results proved the advantages of Weierstrass operators for signal transformation. © 2024 IEEE.

关键词： Mathematical transformations

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The Truth Shall Set Thee Free: Enabling Practical Forensic Capabilities in Smart Environments 29

The Truth Shall Set Thee Free: Enabling Practical Forensic C...

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29th Annual Network and Distributed System security Symposium, NDSS 2022

作者： Babun, Leonardo Sikder, Amit Kumar Acar, Abbas Uluagac, A. Selcuk Cyber-Physical Systems Security Lab Department of Electrical & Computer Engineering Florida International University United States

ISBN: (纸本)1891562746

In smart environments such as smart homes and offices, the interaction between devices, users, and apps generate abundant data. Such data contain valuable forensic information about events and activities occurring in the smart environment. Nonetheless, current smart platforms do not provide any digital forensic capability to identify, trace, store, and analyze the data produced in these environments. To fill this gap, in this paper, we introduce VERITAS, a novel and practical digital forensic capability for the smart environment. VERITAS has two main components: Collector and Analyzer. The Collector implements mechanisms to automatically collect forensically-relevant data from the smart environment. Then, in the event of a forensic investigation, the Analyzer uses a First Order Markov Chain model to extract valuable and usable forensic information from the collected data. VERITAS then uses the forensic information to infer activities and behaviors from users, devices, and apps that violate the security policies defined for the environment. We implemented and tested VERITAS in a realistic smart office environment with 22 smart devices and sensors that generated 84209 forensically-valuable incidents. The evaluation shows that VERITAS achieves over 95% of accuracy in inferring different anomalous activities and forensic behaviors within the smart environment. Finally, VERITAS is extremely lightweight, yielding no overhead on the devices and minimal overhead in the backend resources (i.e., the cloud servers). © 2022 29th Annual Network and Distributed System security Symposium, NDSS 2022. All Rights Reserved.

关键词： Digital forensics

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Securing Electronic Health Records (EHR) from Tampering Using Blockchain 30th

Securing Electronic Health Records (EHR) from Tampering Usin...

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Advances in systems Engineering - Proceedings of the 30th International Conference on systems Engineering, ICSEng 2023

作者： Al-Omrani, Ebtihal Nazzal Humayun, Mamoona Master of Cyber Security College of Computer and Information Sciences Jouf University Sakakah Saudi Arabia Department of Information Systems College of Computer and Information Sciences Jouf University Sakakah Saudi Arabia

ISBN: (纸本)9783031405785

Electronic health records EHRs are digital representations of a patient’s medical history, and authorized healthcare professionals can access and share health-related data from them. EHRs provide a number of advantages over conventional paper-based medical records, including increased data accuracy, speed, and accessibility. EHRs also make it simple for healthcare professionals to exchange patient data with other professionals, improving results and care coordination. In general, EHRs are a crucial part of contemporary healthcare systems and significantly enhance patient care and results. To protect patient privacy and stop unwanted access, alteration, or disclosure of personal health information, EHRs must be securely stored EHRs security issues arise from the possibility for unauthorized access to and modification of private patient data. To protect EHRs and stop tampering, it is crucial to install strong security features including securing, access limits, and audit trails. Overall, sustaining patient trust and delivering high-quality healthcare services depend on the security of EHRs. This paper proposes a solution for securing EHRs from tampering using Blockchain technology (BCT). Blockchain is a decentralized, secure, and transparent ledger system that generates a permanent and tamper-proof record of all transactions, offering the solution for protecting electronic health information from hacking. © 2023, The Author(s), under exclusive license to Springer Nature Switzerland AG.

关键词： Smart contract

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IoT-Enhanced Gesture Recognition System for Healthcare Applications

IoT-Enhanced Gesture Recognition System for Healthcare Appli...

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2024 International Telecommunications Conference, ITC-Egypt 2024

作者： Krithika, L.B. Nallakaruppan, M.K. Baza, Mohamed Badr, Mahmoud Deora, Yuvraj Singh School of Computer Science Engineering and Information Systems Vellore Institute of Technology Vellore India College of Charleston Deparment of Computer Science CharlestonSC United States Polytechnic Institute Department of Networks and Computer Security UticaNY12201 United States

ISBN: (纸本)9798350351408

In response to the prevalent language barriers in medical settings, this paper proposes an innovative solution leveraging gesture recognition technology. Through the integration of deep learning models and Internet of Things (IoT) tools, the system aims to facilitate seamless communication between patients and healthcare providers. Initially, a deep learning model is developed using a personalized dataset containing various medical gestures, allowing for the recognition of nuanced patient expressions such as 'I have Fever' or 'Shoulder pain.' Additionally, the system incorporates IoT sensors to monitor vital signs like body temperature and pulse in real-time, ensuring comprehensive patient assessment. With the capability to continuously evolve and adapt to new gestures, this solution not only enhances accessibility but also improves the quality of healthcare delivery, particularly in underserved communities. By bridging the gap between language barriers and medical communication, this innovative approach holds promise for fostering inclusive and effective healthcare practices worldwide. In addressing the challenges posed by language barriers in medical interactions, this paper presents a comprehensive solution that combines gesture recognition technology with deep learning models and IoT devices. By capturing and interpreting patient gestures, such as indicating specific symptoms or discomfort, the system facilitates clear communication between patients and doctors. Furthermore, the integration of IoT sensors enables continuous monitoring of vital signs, allowing for timely interventions and personalized care. With its ability to adapt and expand to accommodate new gestures and medical scenarios, this solution represents a significant advancement in healthcare accessibility and quality. By leveraging cutting-edge technology, this approach has the potential to revolutionize healthcare delivery, particularly in areas with limited access to linguistic resources or medi

关键词： Gesture recognition

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Weather Satellite Tracking with RTL-SDR: NOAA 15 Image Reception and Signal Decoding 2

Weather Satellite Tracking with RTL-SDR: NOAA 15 Image Recep...

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2nd International Conference on cyber Resilience, ICCR 2024

作者： Waseem, Ahsan Kamil, Mohd Azhan Umar Bhardwaj, Abhisehek Razim, Abdul Qadeer, Mohammed Abdul Ghazal, Taher M. Aligarh Muslim University Department Of Electrical Engineering Aligarh India Aligarh Muslim University Department Of Computer Engineering Aligarh India Stony Brook University Department Of Electrical And Computer Engineering New York United States Khalifa University Centre For Cyber Physical Systems Computer Science Department United Arab Emirates Center For Cyber Security Faculty Of Information Science And Technology Selangor Bangi43600 Malaysia

ISBN: (纸本)9798350394962

This study examines the growing number of satellites, this paper explores the importance of satellite tracking and highlights NOAA-15 for information transmission and weather monitoring. It offers a low-cost configuration for receiving circularly polarized signals, using a Software Defined Radio (SDR) at 137.62 MHz and a V-dipole antenna. The directional characteristics of the V-dipole maximize capture efficiency by improving signal reception during particular satellite orbits. The flexible SDR, in particular the RTL SDR USB dongle, is used to detail signal decoding for Automatic Picture Transmission (APT), allowing for effective processing and tracking. High-quality APT photos are produced by this hardware-software integration, highlighting NOAA's crucial role in international weather forecasting. The study also emphasizes how simple and inexpensive it is to use the V-dipole antenna to receive NOAA weather satellite signals. © 2024 IEEE.

关键词： Weather forecasting

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Segmenting foreground objects in a multi-modal background using modified Z-score

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Journal of Ambient Intelligence and Humanized Computing 2024年第2期15卷 1213-1227页

作者： Choudhury, Suman Kumar Sa, Pankaj Kumar Choo, Kim-Kwang Raymond Bakshi, Sambit Department of Computer Science and Engineering National Institute of Technology Rourkela Rourkela India Department of Information Systems and Cyber Security The University of Texas at San Antonio San AntonioTX78249 United States School of Information Technology and Mathematical Sciences University of South Australia AdelaideSA5095 Australia

This article presents a background subtraction method to detect moving objects across a stationary camera view. A hybrid pixel representation is presented to minimize the effect of shadow illumination. A non-recursive background model is developed to address the problem with gradual illumination change. Modified Z-score labeling is employed to analyze the sample variation of the temporal sequence to build a multi-modal background. The same measure is further applied to detect the foreground pixels against the stationary background classes. Morphological filtering is employed to suppress the sensor noise as well as to fill the camouflage holes. A decision rule is formulated that considers the period of being stationary of a foreground object and the period of being absence of a background class to tackle the object relocation problem. The proposed approach along with nine other state-of-the-art methods are compared on various image sequences taken from the Wallflower and the I2R datasets in terms of recall, precision, figure of merit, and percentage of correct classification. The tabular results, as well as the obtained figures demonstrate the efficacy of the proposed scheme over its counterparts. © Springer-Verlag Berlin Heidelberg 2017.

关键词： Object detection

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Measuring Geographic Performance Disparities of Offensive Language Classifiers 29

Measuring Geographic Performance Disparities of Offensive La...

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29th International Conference on Computational Linguistics, COLING 2022

作者： Lwowski, Brandon Rad, Paul Rios, Anthony Department of Information Systems and Cyber Security United States Department of Computer Science University of Texas San Antonio United States

Text classifiers are applied at scale in the form of one-size-fits-all solutions. Nevertheless, many studies show that classifiers are biased regarding different languages and dialects. When measuring and discovering these biases, some gaps present themselves and should be addressed. First, "Does language, dialect, and topical content vary across geographical regions?" and secondly "If there are differences across the regions, do they impact model performance?". We introduce a novel dataset called GeoOLID with more than 14 thousand examples across 15 geographically and demographically diverse cities to address these questions. We perform a comprehensive analysis of geographical-related content and their impact on performance disparities of offensive language detection models. Overall, we find that current models do not generalize across locations. Likewise, we show that while offensive language models produce false positives on African American English, model performance is not correlated with each city’s minority population proportions. Warning: This paper contains offensive language. © 2022 Proceedings - International Conference on Computational Linguistics, COLING. All rights reserved.

关键词： Geographical regions

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Empowering Smart Homes with Fog Computing for IoT Connectivity

Empowering Smart Homes with Fog Computing for IoT Connectivi...

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2024 International Conference on Decision Aid Sciences and Applications, DASA 2024

作者： Ahmed, Amjed Abbas Najim, Ali Hamza Mahdi, Ali Jafer Ali Alheeti, Khattab M. Mohd Satar, Nurhizam Safie Abdallah Hashim, Aisha Hassan Center for Cyber Security Faculty of Information Science and Technology Universiti Kebangsaan Malaysia Bangi Malaysia Department of Computer Techniques Engineering Baghdad Iraq Department of Computer Technical Engineering Al-Diwaniyah Iraq AI-Zahraa University for Women Department of Scientific Affairs Bangi43600 Malaysia College of Computer and Information Technology University of Anbar Computer Networking Systems Department Anbar Iraq Cyber Security Faculty of Information Science and Technology Bangi43600 Malaysia International Islamic University Malaysia Faculty of Engineering Department of Electrical and Computer Engineering Selangor Malaysia

ISBN: (纸本)9798350369106

Innovative grid technology leverages Information and Communication Technology (ICT) to enhance energy efficiency and mitigate losses. This paper introduces a 'novel three-tier hierarchical framework for smart homes within the Internet of Things (IoT)' ecosystem, addressing the current shortage of intelligent solutions that underutilize IoT advantages. Our framework's primary objective is to elevate smart homes to the microgrid level, enabling the seamless integration from the microgrid's renewable distributed energy sources and attaining maximum energy efficiency. In addition to traditional data processing, we propose the application of fog computing in smart homes. Through a rigorous simulation using real smart meter datasets, our study demonstrates that fog computing, mainly when using predictive filtering, may drastically cut down on the amount of data being sent and the load on the home's network. This innovation holds immense potential for revolutionizing energy management and resource allocation in the context of smart homes, thus contributing to a sustainable and efficient future. This research represents a critical step towards harnessing the power of IoT and fog computing in smart grids and homes, offering a promising path towards more intelligent, eco-friendly, and energy-efficient living spaces. © 2024 IEEE.

关键词： Smart homes

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