Towards Fast Edge Detection Approach for Industrial Products

Honi, Dhafer G.; Ali, Ali Hasan; Abduljabbar, Zaid Ameen; Ma, Junchao; Nyangaresi, Vincent Omollo; Mutlaq, Keyan Abdul-Aziz; Umran, Haider M.

doi:10.1109/iucc-cit-dsci-smartcns57392.2022.00046

Cited by 6 publications

(4 citation statements)

References 35 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Despite of massive innovations that have been done by the tech giant companies, the network infrastructure still faces performance, security, and privacy challenges in their quest to have 100% efficient systems [204] - [206]. Across the globe smart cities have been developed integrating diverse devices with specific functionality, for example the Internet of Things (IoT), and Sensor devices are AI powered [207] to even work smarter than humans. Maintaining such massive technology since they directly interact with people, collecting information about them, processing and even making decisions based on the data, protecting such information; ensuring that it is not prone to attacks or cannot be used for unintended purpose can be challenging [208] - [210].…”

Section: Real-world Scenarios and Their Challengesmentioning

confidence: 99%

A comprehensive survey of performance, security and privacy issues in the network interface layer of the TCP/IP

Emmanuel Asituha

2024

GSC Adv. Res. Rev.

View full text Add to dashboard Cite

The network interface layer of the TCP/IP protocol suite, primarily comprised of the Internet Protocol (IP), serves as the backbone of modern internet communication. With its efficient data delivery, The network interface layer, presents key challenges in terms of performance, security, and privacy. This comprehensive survey delves into these three crucial aspects, analyzing the inherent vulnerabilities, limitations of the interface layer, and provide solutions of the related problems. The performance analysis explores throughput, latency, and bandwidth constraints, along with solutions such as bandwidth allocation and optimization techniques. Vulnerabilities within Network Interface Layer, including denial-of-service attacks and MAC address spoofing, are discussed, along with a review of existing security mechanisms. Privacy flaws are examined, covering MAC address tracking, profiling risks, and anonymization techniques, while also addressing privacy considerations on the Internet of Things. The survey analyzes several case studies providing comparative analysis of the network interface layer protocols, with support of the real world scenarios including performance analysis in high density environment, and security and privacy risks in smart homes networks. The findings provide a comprehensive understanding of the complexities surrounding performance, security, and privacy issues future directions and potential solutions.

show abstract

Section: Real-world Scenarios and Their Challengesmentioning

confidence: 99%

A comprehensive survey of performance, security and privacy issues in the network interface layer of the TCP/IP

Emmanuel Asituha

2024

GSC Adv. Res. Rev.

View full text Add to dashboard Cite

show abstract

“…Addressing these challenges requires a comprehensive approach involving collaboration among stakeholders, including device manufacturers, researchers, policymakers, and users. Continuous research, development, and standardization efforts are necessary to enhance the security techniques for WBANs and ensure the privacy and integrity of the network and its data [189]- [193].…”

Section: Dynamic Nature Of Wbansmentioning

confidence: 99%

Current security and privacy posture in wireless body area networks

Auko¹

2023

World J. Adv. Res. Rev.

View full text Add to dashboard Cite

Wireless Body Area Networks (WBANs) have emerged as a promising technology for remote health monitoring and healthcare applications. However, ensuring the security and privacy of sensitive health data in WBANs is crucial to foster user trust and prevent unauthorized access or data breaches. This paper provides an overview of the key challenges, techniques, and research gaps in WBAN security and privacy. The findings indicate that the challenges in WBAN security and privacy include resource constraints, compatibility issues, privacy concerns, dynamic network environments, security and usability trade-offs, emerging threat landscape, and user awareness and education. To address these challenges, various security techniques have been developed, such as authentication and authorization mechanisms, encryption, access control, secure communication protocols, intrusion detection systems, and privacy-preserving data handling techniques. Despite the progress made, there are research gaps that require further investigation. These research gaps include the development of secure and lightweight authentication mechanisms, privacy-preserving data analysis techniques, trust and security management frameworks, resilience to insider threats, security of data aggregation and fusion, user-centric security designs, and addressing legal and ethical considerations. Addressing these research gaps and challenges requires collaboration between researchers, device manufacturers, policymakers, and end-users. Ongoing research and innovation are necessary to develop robust security techniques, privacy-enhancing technologies, and user-friendly solutions tailored for WBANs. Additionally, compliance with privacy regulations, user education, and awareness are critical for responsible and ethical use of WBANs.

show abstract

“…An ideal outcome would be for organizations to either utilize solutions already existing or develop their own solutions for cyber-attack detection where the need for human intervention is minimized. The authors in [123] posit that in the last decade, various ML (Machine Learning) techniques [124] have been implemented to detect system and network intrusion to improve detection rates and to keep their knowledge base comprehensive and up to date. Nevertheless, various techniques have been adopted in issues of threat detection, and with improvements in cyber systems, adaptability is the key characteristic of cyber systems [125].…”

Section: Artificial Intelligence Based Techniquesmentioning

confidence: 99%

Assessment of existing cyber-attack detection models for web-based systems

Awuor¹

2023

Global J. Eng. Technol. Adv.

View full text Add to dashboard Cite

In the current technological environment, different entities engage in intricate cyber security approaches in order to counter damages and disruptions in web-based systems. The design of the security protocols relies on the guarantee that attacks are prevented in the web-based systems. Prevention and detection using techniques such as access control tools, encryption and firewalls present limitations in the full protection of web-based systems. Furthermore, despite the sophistication of current systems, there are still shortfalls in high false positive and false negative threat detection rates, which is attributed to poor adaptation by systems and networks to the changing threats and behavior of cyber-criminals. In this perspective, this survey paper discusses the existing cyber-attack detection models, and recommends the cyber-attack detection models and techniques that are appropriate for web-based systems. It is evident that deep learning techniques offer better performance and robustness compared to traditional machine learning techniques and other non-artificial intelligence-based techniques. Deep learning techniques learn and extract features automatically without human intervention and can also handle big and multidimensional data more conventionally than the other techniques.

show abstract

Towards Fast Edge Detection Approach for Industrial Products

Cited by 6 publications

References 35 publications

A comprehensive survey of performance, security and privacy issues in the network interface layer of the TCP/IP

A comprehensive survey of performance, security and privacy issues in the network interface layer of the TCP/IP

Current security and privacy posture in wireless body area networks

Assessment of existing cyber-attack detection models for web-based systems

Contact Info

Product

Resources

About