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检索条件"机构=Dept. of Data Communications and Computer Networks"

共 91 条记录，以下是11-20 订阅

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Biometric in Cyber Security: A Mini Review

Biometric in Cyber Security: A Mini Review

引用

International Conference on Artificial Intelligence in Information and Communication (ICAIIC)

作者： Elhaam Abdulrahman Debas Razan Sulaiman Alajlan M M Hafizur Rahman Dept. of Computer Networks & Communications CCSIT King Faisal University Al Hofuf Saudi Arabia

Our lives totally depend on computers and mobile devices. Nowadays, we see a massive development in the digital world that makes it easy to stay in touch with friends and family and even work remotely. The growth led to losses and distress caused by cyber-attacks, which attempt to harm by unauthorized access. Cybersecurity is a major issue in our digital world, while cybercrime is increasing. The banking and finance sectors have started to rely on biometric security systems for their apps and services. Biometric identification uses unique human characteristics to authenticate a person's identity, such as voice/speech recognition, fingerprint recognition, facial recognition, iris recognition, signature dynamics, etc. Biometric technology is used in banking, e-commerce, account login, access control, etc, which can be considered a valuable measure against cybercrime. Biometrics is a key to the future of cybersecurity and safeguards against cybercrime.

关键词： Systematics Biometrics (access control) Face recognition Authentication Banking Fingerprint recognition Mobile handsets

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A Systematic Literature Review on Symmetric and Asymmetric Encryption Comparison Key Size

A Systematic Literature Review on Symmetric and Asymmetric E...

引用

Smart data Intelligence (ICSMDI), International Conference on

作者： Mohammed Althamir Abdullah Alabdulhay Muhammad M Yasin Dept. of Computer Networks and Communications CCSIT King Faisal University Al Hassa Saudi Arabia

Symmetric and asymmetric encryption methods are used when a web browser is used to reply to emails, submit website forms, and perform similar activities. Key size is essential to enable security, which means the longer a key is, the better security can be ensured. Purpose: This review aims to present an overview of the critical size length, which is significant against different types of cyber attacks. Methodology: This research study is based on systematic literature review and secondary data analysis. Results: The symmetric and asymmetric key sizing participate in enabling data security and protection. Conclusion: Different cryptographic techniques will contribute to highlight the best approach that can be employed to maintain confidential data and address related issues within symmetric and asymmetric encryption key size.

关键词： computers Electric potential Systematics data analysis Forensics Bibliographies Digital images

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A Mini Literature Review on Challenges and Opportunity in Threat Intelligence

A Mini Literature Review on Challenges and Opportunity in Th...

引用

International Conference on Artificial Intelligence in Information and Communication (ICAIIC)

作者： Mohammed A Althamir Jawhara Z Boodai M M Hafizur Rahman Dept. of Computer Networks & Communications CCSIT King Faisal University Al Hofuf Saudi Arabia

Cybersecurity worldwide has become a challenge for organisations and individuals to be protected against all attacks and malware. Working closely and directly with cyber-attacks and attackers has become a challenge to be updated with all new zero-day threats and vulnerabilities. The cybersecurity teams have been facing challenges in examining the advisory tactics, techniques, and procedures (TTP) and what are Indicators of Compromise (IOCs) can be used in addressing these issues. Other than this, incorporating the most suitable cyber security framework can assist in dealing with these technological threats. A direct relationship exists between threat intelligence and artificial intelligence, which contributes to addressing technological threats and protecting the necessary assets and information. Cyberspace and other technological software highly contribute to addressing this issue.

关键词： Bibliographies Cyberspace Malware Artificial intelligence Monitoring Cyberattack

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Malware Detection Based on Machine Learning Methods, Analysis, and Tools

Malware Detection Based on Machine Learning Methods, Analysi...

引用

International Conference on communications and Networking, ComNet

作者： Almaha Almuqren Mounir Frikha Abdullah Albuali Mohammed Amin Almaiah dept. Department of Computer Networks and Communications King Faisal University Al Hofuf Saudi Arabia dept. Department of Computer Science King Abdullah the II IT School The University of Jordan Amman Jordan

ISBN: (数字)9798331520793

ISBN: (纸本)9798331520809

Malware identification is essential for safeguarding digital systems from cyber attacks, and machine learning techniques are proving to be efficient in this field. This systematic literature re-view thoroughly analyzes research undertaken from 2020 to 2024 on malware detection using machine learning techniques, with a specific emphasis on analysis and tools. This research follows systematic literature review procedures to identify notable developments and trends in machine learning-based malware detection. The examination focuses on research approaches, highlighting the use of supervised, unsupervised, and deep learning algorithms. The research also examines the use of fundamental tools and frameworks for machine-learning-based malware detection. The assessment includes open-source software tools used for data preparation, feature extraction, and model evaluation. The research also explores the practical consequences of using machine learning for detecting malware. The evolution, classification, trends, and possible hazards linked to malicious software, specifically on Android and network platforms, have been the subject of an abundance of research. Nonetheless, a significant research void persists concerning the effectiveness of utilizing machine learning techniques to analyze and detect malware on di-verse platforms. By presenting a methodical examination of diverse malware analysis and detection approaches, this article attempts to bridge this disparity. The article discusses obstacles and constraints faced in machine learning-based malware detection, including dataset imbalances and adversarial assaults. The text explores possible solutions and future research paths to address these difficulties, emphasizing the importance of creating strong and adaptable detection systems. This study is a great resource for academics and practitioners that aim to strengthen cybersecurity measures and effectively address changing cyber threats.

关键词： Systematics Machine learning algorithms Software algorithms Machine learning Market research Feature extraction Malware Hazards Open source software Systematic literature review

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Cyber Security in Fog Computing Using Blockchain: A Mini Literature Review

Cyber Security in Fog Computing Using Blockchain: A Mini Lit...

引用

International Conference on Artificial Intelligence in Information and Communication (ICAIIC)

作者： Norah Arif Alhumam Noura Saud Alyemni M M Hafizur Rahman Dept. of Computer Networks & Communications King Faisal University CCSIT Al Hofuf Al Hassa Saudi Arabia

Due to its many uses and ability to save and restore data, whether for businesses or individuals, cloud computing has become one of the mainstays in the technology world over the past few years. However, the limitations on speeds and sizes as well as the evolving of the Internet of Things made it challenging to rely on the cloud due to the extremely slow data processing. Therefore, to store and interpret the massive amount of data rapidly, programmers switched towards a new technology which is fog computing. This mini survey paper will outline fog computing as an integral part of cloud and edge computing for improving security and data protection. A systematic literature review of selected research papers that include findings and algorithms used to enhance security-related problems such as availability, latency, and intrusion detection will be discussed. This mini review paper finds out a state-of-the-art on the cybersecurity issues in fog computing using blockchain.

关键词： Cloud computing Systematics Bibliographies Scalability Intrusion detection Switches Blockchains

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Cybersecurity Threats in Line with Awareness in Saudi Arabia

Cybersecurity Threats in Line with Awareness in Saudi Arabia

引用

2021 International Conference on Information Technology, ICIT 2021

作者： Alhashim, Shaima Salah Hafizur Rahman, M.M. King Faisal University CCSIT Dept. of Computer Networks and Communications Al Hassa31982 Saudi Arabia

ISBN: (纸本)9781665428705

This study aims at exploring the cybersecurity threats in line with the awareness of Saudi Arabia nationals. This paper analyzes the recent threats reports conducted by IBM, McAfee and Kaspersky. Then this paper matches the analyzed threats reports with the awareness of the Saudi nationals by examining five surveys of related studies. The results of the analysis indicate the following: Saudi Arabia is considered one of the main targets in cybersecurity with a very costly data breach. Healthcare, Financial, technology, Multiple, Individual/private, and public sectors should be given a high priority and must implement extensive trainings and awareness programs. Also, malware, account hijacking, system errors are the most widely and costly threats and awareness should be targeting these threats. Also, the study concludes that most Saudis are aware of the security tools but there are a large number that do not use nor know about these tools. The study also has found that a large number of Saudis did not receive any awareness nor training programs and businesses are not paying much attention in this regard. The study also has found that a huge number of Saudis do not know how nor want to report cybercrimes. © 2021 IEEE.

关键词： Cybersecurity

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Construction Methods for Error Correcting Output Codes Using Constructive Coding and Their System Evaluations

Construction Methods for Error Correcting Output Codes Using...

引用

2022 IEEE International Conference on Systems, Man, and Cybernetics, SMC 2022

作者： Hirasawa, Shigeichi Kumoi, Gendo Yagi, Hideki Kobayashi, Manabu Goto, Masayuki Inazumi, Hiroshige Waseda University Center for Data Science Tokyo Japan The University of Electro-Communications Dept. of Computer & Network Eng. Tokyo Japan Waseda University Dept. of Ind. & Mgmt. Systems Eng Tokyo Japan Aoyama Gakuin University Dept. of Social Informatics Tokyo Japan

ISBN: (数字)9781665452588

ISBN: (纸本)9781665452588

Consider M-valued (Mgeq3) classification systems realized by combination of N(Ngeqlceillog_{2}Mrceil) binary classifiers. Such a construction method is called an Error Correcting Output Code (ECOC). First, focusing on a Reed-Muller (RM) code, we derive a modified RM (mRM) code to make it suitable for the ECOC. Using the mRM code and the Hadamard matrix, we introduce a simplex code which is one of the powerful equidistant codes. Next, from the viewpoint of system evaluation model, we evaluate the ECOC by using constructive coding described above. We show that they have desirable properties such as Flexible, Elastic, and Effective Elastic as M becomes large, by employing analytical formulas and experiments. © 2022 IEEE.

关键词： Hadamard matrices

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Neural Network Coding in data Compression Systems in Communication Channels 6

Neural Network Coding in Data Compression Systems in Communi...

引用

6th International Scientific Conference on Information, Control, and Communication Technologies, ICCT 2022

作者： Berezkin, Aleksandr Kukunin, Dmitry Kirichek, Ruslan State University of Telecommunications Bonch-Bruevich Saint-Petersburg Dept. of Software Engineering and Computer Science St. Petersburg Russia Bonch-Bruevich Saint-Petersburg State University of Telecommunications Dept. of Communication Networks and Data Transmission St. Petersburg Russia

ISBN: (数字)9781665493673

ISBN: (纸本)9781665493673

The article describes the use of a neural network implementation of BCH codes encoding and decoding devices for error correction in on-the-fly data compression systems. The user payload vector is encoded in the BCH code with additional redundancy, which provides linear data separability and better convergence when training the autoencoder. On the receiving side, the decoding device operates in the error correction mode, which makes it possible not to impose strict requirements on the accuracy of data recovery when training the autoencoder. Examples of such devices are described in the article. © 2022 IEEE.

关键词： data compression

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Cost-effectiveness Analysis of a Shifted Completely Connected Network for Massively Parallel computer Systems

Cost-effectiveness Analysis of a Shifted Completely Connecte...

引用

Computing Innovation, Intelligence, Technologies and Education (CIITE), International Conference on

作者： Mohammed N. M. Ali M. M. Hafizur Rahman Hejab Al Fawareh Dept. of Computer Science and Technology Xiamen University Malaysia Bandar Sunsuria Sepang Selangor Malaysia Dept. of Comp. Networks and Communications CCSIT King Faisal University Al Ahsa Al Hofuf Saudi Arabia School of Computing and Data Science Xiamen University Malaysia Bandar Sunsuria Sepang Selangor Malaysia

ISBN: (数字)9798350377286

ISBN: (纸本)9798350377293

The Cost-Effectiveness Analysis (CEA) is a crucial tool for comparing the impact of newly developed technologies to their associated costs. CEA evaluates the costs of two or more new products by examining the benefits derived from them. Therefore, analyzing the cost-effectiveness (CE) of any new innovation is essential before beginning the production process. A comprehensive assessment of costs and benefits is necessary to perform an accurate CEA, which should consider the long-term effects of new developments. CEA is applicable for evaluating all new products and technologies across various sectors, including computer *** this paper, the Cost-Effectiveness Factor (CEF) of a proposed parallel computer system utilizing a shifted completely connected network (SCCN) will be analyzed. This system consists of multiple levels and the cost of creating each level will be compared to the benefits obtained from it. Additionally, each level will be compared to other networks with a similar number of processing elements (PEs). To evaluate this network, the cost-effectiveness factor (CEF) will be calculated. Each level of the SCCN demonstrated the lowest CEF when compared to the two-dimensional networks included in the study.

关键词： Technological innovation Costs Accuracy Education Production

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IsoGAN: A Gan Based Method for Isometric View Images Generation From Three Orthographic Views Contour Drawings

IsoGAN: A Gan Based Method for Isometric View Images Generat...

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Image Processing Challenges (ICIPC), IEEE International Conference on

作者： Thao Nguyen Phuong Hidetomo Sakaino Vinh Nguyen Duy Data Solution Dept. (FCJ.ABC) FPT Consulting Japan AI-Image Group FPT Software Department of Computer Science and Communications Engineering Waseda University

ISBN: (数字)9798331515942

ISBN: (纸本)9798331515959

Reconstructing the 2D or 3D shape of an object from several 2D drawings is a crucial problem in computer-aided design (CAD). Despite the advancement of deep neural networks, automatic isometric image generation from three orthographic views line drawings using deep learning remains unresolved. Existing image-to-image translation techniques often generate images from just one input image. In this paper, we propose a novel method for the above task using a GAN-based model, namely IsoGAN. This method takes three images of object’s front, side, and top view as input, then analyzes the spatial and geometrical relations between each view and finally generates the corresponding isometric view image of the object. Extensive experiments on SPARE3D dataset show promising results of IsoGAN on isometric view generation task, demonstrating the effectiveness of the proposed IsoGAN.

关键词： Deep learning Solid modeling Design automation Three-dimensional displays Image synthesis Shape Transforms Vectors Generators Image reconstruction

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