Automated parking is becoming increasingly popular as a convenient and efficient way to park vehicles.
With this convenience comes the potential risk of unauthorized access to customer data stored in these systems. A few best practices, such as using data analytics in parking systems, should be followed to ensure customer data is kept secure.
First, automated parking systems should have access control systems to prevent unauthorized access. These systems can include two-factor authentication, PIN codes and other methods of verifying the identity of users before granting them access to the system. Additionally, access control systems should be regularly updated with new security measures as technology advances.
Encrypting all data stored in the automated parking system and any data transmitted over a network is important. This will ensure that if the data is ever intercepted, malicious attackers cannot read or use it. Encrypting the transmission of customer data across networks also helps to protect against man-in-the-middle attacks, where an attacker intercepts data during transport and attempts to gain access by manipulating it.
AI is already being used in several aspects of automated parking, from addressing parking woes to improving customer service. AI can provide real-time insights into customer behavior and usage patterns that can be used to detect potential security threats. AI can also be used to automate certain safety measures, such as facial recognition systems for entry and exit points or automatically flagging suspicious activities in the system. By leveraging AI tools, businesses can avoid potential security incidents and act quickly to protect customer data.
In conjunction with AI, advanced data analytics can be used to monitor automated parking systems for suspicious activity. This type of data analytics in parking can help detect and prevent unauthorized access and uncover potential security breaches or malicious intent. Data analytics can also be used to identify patterns in usage or payment methods that could indicate malicious activity. By understanding the data generated by automated parking systems, businesses can better identify suspicious or fraudulent behavior and take appropriate action.
Businesses should also regularly update the security protocols in place for automated parking systems. This should include updating passwords, keeping software up to date and ensuring that all computers on the system are secure. Additionally, they should ensure that their security protocols adhere to data privacy laws such as the European Union’s General Data Protection Regulation (GDPR) or California Consumer Privacy Act (CCPA).
These are some of the best practices for protecting customer data in automated parking systems. By implementing these strategies, businesses can ensure that their customers' personal and financial data remain secure and protected from cyber-attacks. Carrying out data analytics in parking can seem daunting, but with the right security protocols, businesses can ensure their customers feel safe and secure.
Naveen is the Founder and CEO of Allerin, a software solutions provider that delivers innovative and agile solutions that enable to automate, inspire and impress. He is a seasoned professional with more than 20 years of experience, with extensive experience in customizing open source products for cost optimizations of large scale IT deployment. He is currently working on Internet of Things solutions with Big Data Analytics. Naveen completed his programming qualifications in various Indian institutes.