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International Journal of Sensor Networks and Data Communications

ISSN: 2090-4886

Open Access

Volume 13, Issue 3 (2024)

Mini Review Pages: 1 - 2

Evaluating Cybersecurity in Intelligent Connected Vehicles

Massimo Changman*

DOI: 10.37421/2090-4886.2024.13.268

The advent of Intelligent Connected Vehicles (ICVs) has revolutionized the automotive industry, offering unprecedented levels of connectivity, convenience, and safety. However, this connectivity also introduces new cybersecurity challenges, as ICVs become potential targets for malicious actors. In response to this growing concern, researchers have developed various cybersecurity assessment tools and frameworks. One such framework is ICV Test, a practical black-box penetration testing framework designed specifically for evaluating the cybersecurity of ICVs. This article provides an in-depth review of ICV Test, highlighting its features, capabilities, and potential impact on the security of ICVs.

Mini Review Pages: 1 - 2

Designing a Reactive Hybrid Control Architecture for Remotely Operated Underwater Vehicles

Lewin Alawi*

DOI: 10.37421/2090-4886.2024.13.267

Remotely Operated Underwater Vehicles (ROVs) play a crucial role in underwater exploration, research, and industrial applications. The design and development of efficient control architectures are paramount to enhancing the capabilities and performance of ROVs, particularly in dynamic and challenging underwater environments. This review focuses on the concept and implementation of a Reactive Hybrid Control Architecture (RHCA) for ROVs, highlighting its significance, components, functionalities, and potential impact on underwater operations.

Mini-Review Pages: 1 - 2

Designing Rules for Fermentation State Marker Identification in Metabolic Engineering

Feng Edwards*

DOI: 10.37421/2090-4886.2024.13.269

Metabolic engineering aims to optimize microbial systems for the production of valuable compounds, including biofuels, pharmaceuticals, and chemicals. Central to this optimization is the ability to monitor and control the fermentation process efficiently. One crucial aspect is the identification of fermentation state markers, which are indicative of the metabolic state and productivity of the microbial culture. This review delves into the methodologies, challenges, and advancements in designing rules for fermentation state marker identification in metabolic engineering, emphasizing their significance in improving fermentation outcomes.

Google Scholar citation report
Citations: 343

International Journal of Sensor Networks and Data Communications received 343 citations as per Google Scholar report

International Journal of Sensor Networks and Data Communications peer review process verified at publons

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