AI in the Transportation Sector | Emerging Tech, cyber risks, policy recommendations

This Capstone paper is about Policies, Emerging Technologies, and the Cyber Threat Landscape. 

 

We are basing the project on how AI can impact different sectors, what are the cyber risks, and need to come up with policy recommendations. In this case, it will be based on the Transportation sector. 

 

Methodology: 

Based the paper on this question: “How can AI impact the cyber threat landscape in these sectors? What policies can be recommended to reduce this organization’s cyber risks?”

 

I. Introduction 

This  paper will explore the intersection of artificial intelligence in three different sectors, such as energy, transportation and healthcare. The objective is to identify prevalent cyber threats, evaluate best practices for tech integration, and assess the role of AI in enhancing security measures.

 

Follow this outline:

AI in the Transportation Sector

1.     Benefits of AI (Add more and good info about these three benefits) 

a.     Efficient and proactive traffic management: One important benefit of this emerging tech in the transportation industry is traffic management, which is an effective AI method to track traffic by collecting data and sending it to the cloud in real time. Data from different sources is analyzed by AI algorithms, such as sensors, traffic cameras and Maps or GPS devices. 

b.     Reduction of Operational costs: Companies can save operational costs by replacing some workers with machines, thus automating their tasks. Besides, AI-driven tools accelerate repairs and streamline maintenance.

c.     Sustainability & Eco-friendly: AI contributes to sustainability in transportation by optimizing routes and improving fuel efficiency, thereby reducing emissions. AI can minimize idle times and unnecessary fuel usage by analyzing data such as traffic patterns & weather conditions, leading to lower greenhouse gas emissions (Patt, 2024). Smart driving can reduce vehicle emissions, while boosting fuel efficiency, thus helping improve air quality and combat climate change (Amena, 2024)



2.     Cybersecurity Risks Caused by the Use of AI  

– Case studies (Find good case studies about this, analyze it good, give your own opinion, what went wrong?. Compare cases. Focus good on this part of paper, it is very important.

 

3.     Policy Recommendations

– Find or give recommendations or solutions. based on the risks found above. (This is the most important part, to come up with good and logic recommendations).

 

 This paper will be scanned by an AI detector and plagiarism from college,since it is a capstone project in order to pass. please be careful.

Please use good reputable sources. 

These are good and known sources used in the cybersecurity space, since this is a capstone project.

Hacker News: https://thehackernews.com/

Dragoshttps://www.dragos.com/blog/top-cybersecurity-blogs-2022/

SANS: https://www.sans.org/

Security Magazine: https://www.securitymagazine.com/topics/2236-cybersecurity-news

CISA (great for govt advisories): https://www.cisa.gov/news-events

DarkReading: https://www.darkreading.com/

Threatpost: https://threatpost.com/

Bleeping Computer: https://www.bleepingcomputer.com/

Security Week: https://www.securityweek.com/

Cyberscoophttps://cyberscoop.com/

Accenturehttps://www.accenture.com/us-en/blogs/cyber-defense

Crowdstrike: https://www.crowdstrike.com/blog/category/threat-intel-research/page/2/ 


Some i found good info

      Amena. (2024, August). 5 benefits of AI in transportation sector: Key insights. Retrieved from Binmile: https://binmile.com/blog/benefits-of-ai-in-transportation/

      Makieiev, E. (n.d.). 9 benefits of artificial intelligence (AI) in the transportation industry. Retrieved from Integrio Systems: https://integrio.net/blog/benefits-of-artificial-intelligence

      Malan, T. (2024). How AI Is Reducing Operational Costs In NEMT By Optimizing Fleet Utilization. Retrieved from N.E.M.T Cloud Dispatch: https://nemtclouddispatch.com/blog/ai-reducing-operational-costs-nemt-fleet-optimization

      Patt, D. (2024, June 13). Understanding The Impact Of AI In Transportation Industry. EVINCE DEVELOPMENT: https://evincedev.com/blog/impact-of-ai-in-transportation-logistics-industry-guide/

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