International Scientific Journals
of Scientific Technical Union of Mechanical Engineering "Industry 4.0"

Automating and delegating daily tasks is a growing trend. Digital devices and the Internet of Things have boosted this development. This has transformed machine-to-machine (M2M) communication, industrial production, and control solutions as well as smart homes and consumer devices. IoT infrastructure and device networking require scalable, secure, efficient, resilient, and widely supported application layer communication protocols. It is vital to note that IoT infrastructure development prioritizes service implementation and functionality. However, IT security vulnerabilities and system reinforcement are typically neglected. Our present research focuses on a black-box vulnerability evaluation during smart street lighting system development. The goal is to raise awareness of the importance of safety-conscious growth.

Small and medium-sized enterprises in the European Union are also vulnerable to ransomware attacks. There is currently no clear indicator of this proportion. The rate of ransomware attacks depends on a number of factors, such as the cybersecurity situation in a given country, the size and sector of SMEs, IT security measures and IT security awareness.
Based on our own study, the most important thing is to encourage SMEs to improve IT security, to develop policies and disaster recovery plans that define IT security measures, and to train employees, i.e. training and security awareness are key issues in detecting and avoiding various attacks. Our targeted survey of SMEs on this topic shows that in the current changing environment, SMEs need much more training and support, regardless of their specialism or sector of operation. They need meaningful and actionable training and support that will enable them to develop IT security strategies that are best suited to their business volumes..

The importance of artificial lighting in our daily lives is growing, and street lighting has become a major focus over time. The creation of street lighting was motivated by the need to increase visual and property security and public safety. Current developments in metropolitan environments foreshadow the ‘smart cities’ of the future. The basic concept is that CCTV cameras, traffic lights and street lighting all have ‘smart functions’. Municipalities will be able to adapt to the needs of their inhabitants, thus increasing safety, comfort and energy efficiency. Given the adaptability of smart street lighting to the built environment, artificial intelligence is an essential element of smart cities, even in the systems already in place. Extensive sensor networks will facilitate the collection of environmental data by AI. In addition, unauthorised access to information available through IoT systems poses a serious threat. A critical point is the monitoring and protection of surveillance systems that are vital to the operation of smart systems.

Automating and delegating daily tasks is a growing trend. Digital devices and the Internet of Things have boosted this development. This has transformed machine-to-machine (M2M) communication, industrial production, and control solutions as well as smart homes and consumer devices. IoT infrastructure and device networking require scalable, secure, efficient, resilient, and widely supported application layer communication protocols. It is vital to note that IoT infrastructure development prioritizes service implementation and functionality. However, IT security vulnerabilities and system reinforcement are typically neglected. Our present research focuses on a black-box vulnerability evaluation during smart street lighting system development. The goal is to raise awareness of the importance of safety-conscious growth.