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2021 International Conference on Information Technology, ICIT 2021

作者： Bubukayr, Maryam Abdulaziz Saad Almaiah, Mohammed Amin Alahsa Al-Hofuf Saudi Arabia King Faisal University Department of Computer Networks and Communications Al-Ahsa Saudi Arabia

ISBN: (纸本)9781665428705

With the greater number of individuals using smartphones and apps increasing gradually, and with the easily of use. The users may perform more and more sensitive and critical tasks, making them a very lucrative target for attackers. Due to the flaws of existing smartphones and applications and multiple attacks on them, Researchers and academics have had to come up with full security measures challenge. Our result in this paper shows that most of all selected studies in this review targeted major cybersecurity threats in smart phones and apps such as malware attack, phishing attack, software failure, Dos attack, sniffing and spoofing attacks, physical attack, etc. This paper is a literature analysis providing a review of twenty previous studies related to cybersecurity in smartphones and apps. Also, identify major cybersecurity threats that could compromise the system based on four assets of smart-phone (device, data, application and network connectivity). Moreover, present and discuss some techniques to help improve security in smartphones and apps. Finally classify and prioritize the most significant threats that could affect the system. © 2021 IEEE.

关键词： Cybersecurity

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Broadband and repetition rate tunable frequency comb based on electro-optic time lens with AlGaAsOl waveguide 49

Broadband and repetition rate tunable frequency comb based o...

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49th European Conference on Optical communications, ECOC 2023

作者： Ma, Chunyang Wang, Chaopeng Pi, Yazhi Wang, Lei He, Zhixue Bowers, John E. Chnag, Lin Zizheng Cao, Lin Yu, Shaohua Research Center of Circuits and Systems Peng Cheng Laboratory Guangdong Shenzhen518055 China Department of Electrical and Computer Engineering University of California Santa BarbaraCA93106 United States State Key Laboratory of Advanced Optical Communications System and Networks Peking University Beijing100871 China

ISBN: (纸本)9781839539954

We present a tunable repetition rate frequency comb realized by cascaded electro-optical modulators with a high nonlinear AlGaAs-on-isolator waveguide. 18-26.5 GHz comb spacing tunability with broadband spectra was achieved. All the devices can be integrated onto a single chip, which makes this work useful for many applications. © The Institution of Engineering & Technology 2023.

关键词： Aluminum gallium arsenide

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Reliable and Efficient Data Collection in UAV based IoT networks

arXiv

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arXiv 2023年

作者： Poorvi, Joshi Kalita, Alakesh Gurusamy, Mohan The Communications & Networks Lab Department of Electrical and Computer Engineering National University of Singapore Singapore The ISTD Pillar Singapore University of Technology and Design Singapore

Internet of Things (IoT) involves sensors for monitoring and wireless networks for efficient communication. However, resource-constrained IoT devices and limitations in existing wireless technologies hinder its full potential. Integrating Unmanned Aerial Vehicles (UAVs) into IoT networks can address some challenges by expanding its’ coverage, providing security, and bringing computing closer to IoT devices. Nevertheless, effective data collection in UAV-assisted IoT networks is hampered by factors, including dynamic UAV behaviour, environmental variables, connectivity instability, and security considerations. In this survey, we first explore UAV-based IoT networks, focusing on communication and networking aspects. Next, we cover various UAV-based data collection methods their advantages and disadvantages, followed by a discussion on performance metrics for data collection. As this article primarily emphasizes reliable and efficient data collection in UAV-assisted IoT networks, we briefly discuss existing research on data accuracy and consistency, network connectivity, and data security and privacy to provide insights into reliable data collection. Additionally, we discuss efficient data collection strategies in UAV-based IoT networks, covering trajectory and path planning, collision avoidance, sensor network clustering, data aggregation, UAV swarm formations, and artificial intelligence for optimization. We also present two use cases of UAVs as a service for enhancing data collection reliability and efficiency. Finally, we discuss future challenges in data collection for UAV-assisted IoT networks. Copyright © 2023, The Authors. All rights reserved.

关键词： Internet of things

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Web Tracking Domain and Possible Privacy Defending Tools:A Literature Review

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Journal of Cyber Security 2022年第2期4卷 79-94页

作者： Maryam Abdulaziz Saad Bubukayr Mounir Frikha College of Computer Science and Information Technology King Faisal UniversityAlahsa31982Saudi Arabia Department of Computer Networks and Communications King Faisal UniversityAlahsa31982Saudi Arabia

Personal data are strongly linked to web browsing *** visiting a certain website,a user can share her favorite items,location,employment status,financial information,preferences,gender,medical status,news,***,web tracking is considered as one of the most significant internet privacy threats that can have a serious impact on ***,it is used by mostwebsites to track visitors through the internet in order to enhance their services and improve search ***,selling users’data to the advertising companies without their *** there are more research efforts focused on third-party tracking to protect user privacy,there are still no comprehensive approaches to develop an efficient and accessible privacy protection method,even if more attention is paid to the *** main goal of this paper is to conduct a literature review on the web-tracking domain and possible privacy defending methods by presenting an overview of privacy issues,determining the possible tracking mechanisms that might be exploited,discussing the available privacy defense tools that could be utilized for improvement,and presenting the strength andweaknesses of eachmethod.

关键词： Web tracking website privacy cookies security anti-tracking privacy defense tools machine learning and blacklist

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Integrated Parallel Chaos driven LiDAR System with High Interference Tolerance

Integrated Parallel Chaos driven LiDAR System with High Inte...

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2023 Conference on Lasers and Electro-Optics, CLEO 2023

作者： Chen, Ruixuan Shen, Bitao Shu, Haowen Chang, Lin Xie, Weiqiang Liao, Wenchao Tao, Zihan Bowers, John Wang, Xingjun State Key Laboratory of Advanced Optical Communications System and Networks School of Electronics Peking University Beijing100871 China Department of Electrical and Computer Engineering University of California Santa BarbaraCA93106 United States Frontiers Science Center for Nano-Optoelectronics Peking University Beijing100871 China

We introduce a chaotic microcomb based high interference-tolerance parallel LiDAR. Parallel chaos with record-high noise spectra beyond 7 GHz leads to sub-cm-level ranging accuracy. The intrinsic orthogonality permits... 详细信息

ISBN: (纸本)9781957171258

关键词： Optical radar

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Comparative E-Voting Security Evaluation: Multi-Modal Authentication Approaches

Comparative E-Voting Security Evaluation: Multi-Modal Authen...

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Blockchain Computing and Applications (BCCA), International Conference on

作者： Elsi Ahmadieh Nour El Madhoun Department Communications and Computer Networks Engineering Faculty of Technology Lebanese University Beirut Lebanon ISEP LISITE Laboratory France CNRS LIP6 Sorbonne Université Paris France

ISBN: (数字)9798350351538

ISBN: (纸本)9798350351545

The decentralized, distributed ledger, a fundamental aspect of blockchain technology, plays a pivotal role in various sectors, including electronic voting (e-voting) systems. When considering e-voting, the significance of blockchain technology in boosting the security, transparency, and integrity of the entire process is evident. This ranges from the initial steps of user registration and authentication to the final stages of voting and result validation. Unlike conventional voting systems, which are plagued by issues such as fraud, tampering, and a lack of transparency in the result tallying and viewing processes, not to mention the delays, blockchain-enabled e-voting mitigates these challenges within government frameworks. It ensures a secure, tamper-proof, and transparent procedure, where each vote is recorded as an immutable transaction, thereby enhancing the process’s reliability. This paper explores the integration of voice recognition and fingerprinting using blockchain technology for enhancing the security of e-voting systems, comparing alternative authentication methods, and emphasizing the need for a multimodal approach to achieve better security and reliability of the voting systems.

关键词： Multi-factor authentication Government Speech recognition Fingerprint recognition Blockchains Registers Fraud Security Reliability Electronic voting

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Dynamic computation offloading in time-varying environment for ultra-dense networks:a stochastic game approach

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The Journal of China Universities of Posts and Telecommunications 2021年第2期28卷 24-37页

作者： Xie Renchao Liu Xu Duan Xuefei Tang Qinqin Yu Fei Richard Huang Tao State Key Laboratory of Networking and Switching Technology Beijing University of Posts and TelecommunicationsBeijing 100876China Guangdong Communications and Networks Institute Guangzhou 510700China Department of Future Networks Purple Mountain LaboratoryNanjing 211111China Department of Systems and Computer Engineering Carleton UniversityOttawaCanada

To meet the demands of large-scale user access with computation-intensive and delay-sensitive applications,combining ultra-dense networks(UDNs)and mobile edge computing(MEC)are considered as important *** the MEC enabled UDNs,one of the most important issues is computation *** a number of work have been done toward this issue,the problem of dynamic computation offloading in time-varying environment,especially the dynamic computation offloading problem for multi-user,has not been fully ***,in order to fill this gap,the dynamic computation offloading problem in time-varying environment for multi-user is considered in this *** considering the dynamic changes of channel state and users’queue state,the dynamic computation offloading problem for multi-user is formulated as a stochastic game,which aims to optimize the delay and packet loss rate of *** find the optimal solution of the formulated optimization problem,Nash Q-learning(NQLN)algorithm is proposed which can be quickly converged to a Nash equilibrium ***,extensive simulation results are presented to demonstrate the superiority of NQLN *** is shown that NQLN algorithm has better optimization performance than the benchmark schemes.

关键词： dynamic computation offloading time-varying environment stochastic game ultra-dense networks(UDNs) mobile edge computing(MEC)

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In situ construction of PtSe_(2)/Ge Schottky junction array with interface passivation for broadband infrared photodetection and imaging

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InfoMat 2024年第4期6卷 37-46页

作者： Xue Li Shuo-En Wu Di Wu Tianxiang Zhao Pei Lin Zhifeng Shi Yongtao Tian Xinjian Li Longhui Zeng Xuechao Yu School of Physics and Microelectronics Key Laboratory of Material Physics Ministry of EducationZhengzhou UniversityZhengzhouHenanthe People's Republic of China Department of Electrical and Computer Engineering University of CaliforniaLa JollaCaliforniaUSA National Research Center for Optical Sensors/Communications Integrated Networks School of Electronic Science and EngineeringSoutheast UniversityNanjingJiangsuthe People's Republic of China Key Laboratory of Multifunctional Nanomaterials and Smart Systems Suzhou Institute of Nano-Tech and Nano-BionicsChinese Academy of SciencesSuzhouJiangsuthe People's Republic of China

Infrared(IR)detection is vital for various military and civilian *** research has highlighted the potential of two-dimensional(2D)topological semimetals in IR detection due to their distinctive advantages,including van der Waals(vdW)stacking,gapless electronic structure,and Van Hove singularities in the electronic density of ***,challenges such as large-scale patterning,poor photoresponsivity,and high dark current of photodetectors based on 2D topological semimetals significantly impede their wider applications in low-energy photon ***,we demonstrate the in situ fabrication of PtSe_(2)/Ge Schottky junction by directly depositing 2D PtSe_(2) films with a vertical layer structure on a Ge substrate with an ultrathin AlOx *** to high quality junction,the photodetector features a broadband response of up to 4.6μm,along with a high specific detectivity of�1012 Jones,and operates with remarkable stability in ambient conditions as ***,the highly integrated device arrays based on PtSe_(2)/AlOx/Ge Schottky junction showcases excellent Mid-IR(MIR)imaging capability at room *** findings highlight the promising prospects of 2D topological semimetals for uncooled IR photodetection and imaging applications.

关键词： broadband photodetection imaging platinum diselenide Schottky junction van der Waals integration

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COVID-19 prediction using machine learning based on the patient's vital signs: A case for Saudi Arabia 14

COVID-19 prediction using machine learning based on the pati...

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14th IEEE International Conference on Computational Intelligence and Communication networks, CICN 2022

作者： Ibrahim, Nehad M. Alqudaihi, Kawther S. Almuhaideb, Abdullah M. Khan, Irfan Ullah Olatunji Aadam, S.O. Alhaidari, Fahd A. Aslam, Nida Alshahrani, Mohammed S. College of Computer Science and Information Technology Imam Abdulrahman Bin Faisal University Department of Computer Science P.O. Box 1982 Dammam31441 Saudi Arabia College of Computer Science and Information Technology Imam Abdulrahman Bin Faisal University Department of Networks and Communications P.O. Box 1982 Dammam31441 Saudi Arabia College of Medicine Imam Abdulrahman Bin Faisal University Department of Emergency Medicine Dammam31441 Saudi Arabia

ISBN: (纸本)9781665487719

The world faces a rapidly spreading of COVID19 globally, for several countries around the world mitigating the consequences and spread of the pandemic remains a top priority. Researchers work to find a smart and rational solution to limit the spread of this epidemic and its repercussions. The goal of this research is to produce an early and accurate COVID-19 prediction, as well as a comparative analysis of the performance of several machine learning (ML) models based on patient vital signs, dataset balancing, and feature selection. The cases dataset was provided by King Fahad Hospital University in Al-Khobar, Saudi Arabia. The current study used the WEKA 3.8.5 and Python programming language (SKLEARN) to decide which method generated the highest level of accuracy while using fewer features. Random forest with grid search (RF with grid search), Artificial Neural networks (ANN), Support Vector Machine (SVM), Random Forest (RF), J48, XGB Classifier, and XGB Classifier with grid search were the techniques that were compared. The highest level of accuracy obtained with seven features was 84% achieved with the RF using grid search technique, while ANN, SVM, RF, J48, XGB Classifier, and XGB Classifier with grid search obtained 82.85%, 79%, 82.93%, 82.5%,82.21%, and 83.4% accuracy, respectively. © 2022 IEEE.

关键词： COVID-19

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Comparison of ITU-837 models performance in predicting Malaysias’ rainfall rate and rain attenuation CCDF

TechRxiv

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TechRxiv 2022年

作者： Nissirat, Liyth A. Alsamawi, Aida Shayea, Ibraheem Azmi, Marwan Ergen, Mustafa Rahman, Tharek Abd Department of Computer Networks and Communications College of Computer Science and Information Technology King Faisal University Al-Hasa31982 Saudi Arabia Turkey Malaysia

This paper investigates the performance of different ITU models in predicting Malaysia′s tropical rainfall rates and rain attenuation. This investigation is considered at 26GHz mm-wave frequency, and three datasets collected at different regions in Malaysia with emphasize on the latest dataset in Skudai in 2012. The data collected has rainfall rate and rain attenuation measurements for a continuous year at 1 spm sampling rate. Nonlinear regression is used to estimate best fit parameters for comparison with ITU-R p.837-1 with rain zone data, ITU-R p.837-6 as method 1 and ITU-R p.837-7 as method 2. Results show that ITU method 2 outperforms all the models with RMSE in the range of 12.72 mm/hr and 3.51 dB/km for rainfall rate and rain attenuation respectively. Conversely, absolute error at 0.01% of time showed superiority of ITU-R p.837-1 tropical recommendation with absolute error in the range of 0.39 mm/hr and 4.16 dB/km for rainfall rate and rain attenuation respectively. All models showed significant deviation from the measurements and the best fit at lower than 0.01% of time, with minimum deviation observed for of ITU method 2 in that range. Worst month parameters estimation using ITU method2 is in good match to the best fit estimation. © 2022, CC BY.

关键词： Millimeter waves

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