Machine-Learning-Based White-Hat Worm Launcher Adaptable to Large-Scale IoT Network

Pan, Xiangnan; Yamaguchi, Shingo; Kageyama, Taku

doi:10.1109/gcce53005.2021.9621895

Cited by 5 publications

(3 citation statements)

References 6 publications

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“…Also, researchers are developing new methods and frameworks to find out the vulnerabilities ( Cvitić et al, 2021 ). Work has been done to develop a botnet defense system to exterminate malicious botnets and make the technology usage more secure ( Pan et al, 2021 ). But on the other hand, the attackers are searching for vulnerabilities, and the never-ending game of mouse and cat continues.…”

Section: Discussionmentioning

confidence: 99%

Cyber security threats: A never-ending challenge for e-commerce

Liu

Ahmad²,

Anser³

et al. 2022

Front. Psychol.

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This study explores the challenge of cyber security threats that e-commerce technology and business are facing. Technology applications for e-commerce are attracting attention from both academia and industry. It has made what was not possible before for the business community and consumers. But it did not come all alone but has brought some challenges, and cyber security challenge is one of them. Cyber security concerns have many forms, but this study focuses on social engineering, denial of services, malware, and attacks on personal data. Firms worldwide spend a lot on addressing cybersecurity issues, which grow each year. However, it seems complicated to overcome the challenge because the attackers continuously search for new vulnerabilities in humans, organizations, and technology. This paper is based on the conceptual analysis of social engineering, denial of services, malware, and attacks on personal data. We argue that implementing modern technology for e-commerce and cybersecurity issues is a never-ending game of cat and mouse. To reduce risks, reliable technology is needed, training of employees and consumer is necessary for using the technology, and a strong policy and regulation is needed at the firm and governmental level.

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Section: Discussionmentioning

confidence: 99%

Cyber security threats: A never-ending challenge for e-commerce

Liu

Ahmad²,

Anser³

et al. 2022

Front. Psychol.

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“…Distributed denial of service (DDoS) indicates that a cyber-criminal is flooding a server with an excessive number of requests to overload the system (Sahoo et al, 2019). DDoS attacks are coordinated by one machine via botnets which are a network of malware-infected devices (Pan et al, 2021). The objective of DDoS attacks is solely to disrupt a business (Anshari et al, 2022).…”

Section: Distributed Denial Of Servicementioning

confidence: 99%

Management Information Systems and Correlation Between E-Business and Information Security from a Business Intelligence Perspective

El Qasemy

2024

WIJAR

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The research focus was motivated by the emergence of electronic business which increased during and after the COVID-19 pandemic. The research is a literature review and its purpose is to build awareness about the importance of information security and to analyze the correlation between information security and electronic business in an environment where electronic business is emerging and the gap between electronic business and information security is enlarging. The research is a review of peer-reviewed articles retrieved from case studies, empirical research, case analysis, literature reviews, comparative studies, systematic reviews, and conceptual analysis dating from the years of 2018 to 2023. This literature review defines four business intelligence concepts: management information systems, value driven business, electronic business, and information security. This literature review also reveals the effects of all four business intelligence concepts on organizations’ decision-making and financial objectives. Findings of this literature review revealed that electronic businesses need a stronger risk management approach regarding information security. The conclusion shows that the current technological approach and information security tools such as encryption key management, mantraps, and network intrusion detection systems do not ensure trust and/or eliminate digital security risks.

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“…There are also some papers proposed a machine learning-based adaptive model that can change the architecture in real-time based on detected changes to mitigate security attacks [8]. A machine learning based white-hat worm launcher adaptable to largescale IoT Network has also been built [9].…”

Section: Some Applications Of the Integration Of Iot And MLmentioning

confidence: 99%

Machine learning techniques in Internet of Things

Bai

Cui

2023

Second Guangdong-Hong Kong-Macao Greater Bay Area Artificial Intelligence and Big Data Forum (AIBDF 2022)

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The Internet of Things (IoT) and Machine Learning (ML) are two very hot technologies these days. IoT requires a lot of data processing, and ML is a useful means of processing data. Therefore, the combination of IoT and ML has become a very promising research direction. This paper is a investigation of the combination of IoT and ML. It first introduces the development history of IoT and ML, then introduces some achievements that have emerged in the field of ML and IoT combination. After that, the paper refers some ML technologies which will play important roles in IoT. In this process, this paper also proposes a scheme to improve the accuracy of YOLO algorithm by identifying picture groups. Finally, the paper discusses the existing problems and future development directions of the combination of IoT and ML and provides some references and suggestions for scholars who study the combination of ML and IoT technology.

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Machine-Learning-Based White-Hat Worm Launcher Adaptable to Large-Scale IoT Network

Cited by 5 publications

References 6 publications

Cyber security threats: A never-ending challenge for e-commerce

Cyber security threats: A never-ending challenge for e-commerce

Management Information Systems and Correlation Between E-Business and Information Security from a Business Intelligence Perspective

Machine learning techniques in Internet of Things

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