To make it clear, any significant progress in computer science and commercial use is based on the vast increase in speed of (parallel) computing, memory capacity and communication capabilities as well as in the availability of those assets to a broad number of experts and individuals. This is true for the Internet, for robotics, gaming, IoT, and any other domain.

Secure and Trust in IoT and IIoT

#Security for hashtag#IIoT: Network access control is essential for process networks in Industrial hashtag#Automation and Power Systems / hashtag#Substation Automation. We see more and more end-points attached to these networks - hashtag#sensors, hashtag#actuators, engineering devices in order to implement relevant use cases and enable new applications. BUT: We cannot trust a device unless we know what it does and how it works. Network access control based on policy-driven identification, authentication, and authorization mechanisms including context is a core requirement and precondition for robust network security in automation and control networks.

Time-Sensitive Networking is the next big thing in automation and control networks, especially in the context of IEC 61850: Deterministic Networking technologies based on the standards from IEEE 802.1TSN provide various means to support substation automation networks based on IEC 61850. Higher efficiency in terms of resource usage is only one benefit. In many deployments, substation network bandwidth is overprovisioned in order to achieve the delay and packet loss requirements. Combined with the benefits of guaranteed bounded latency, low bounded jitter, and low packet loss, a substation automation solution built on top of an IEC 61850-TSN -Profile is a good fit to meet the tight requirements in an efficient way. As one result, the adoption and implementation of the Process Bus as a key architectural component of IEC 61850 would benefit.

Is it really AI? (Update)

We do read a lot about Artificial Intelligence (AI) these days. AI seems to get in nearly everything. Just pick the right chip and you can put the AI sticker on your product. But is it really that easy? Where is the difference between AI and Machine Learning? And, is the term Intelligence the correct notion anyhow to describe a computer based system? Is it a qualitative or quantitative property?
Depending on the answer, is it something we can measure?

Related to intelligence (IQ) as a characteristic (hopefully) of human beings: Would it be feasible to create a questionnaire for machines to found out about AI? A sort of IQ test for artificial intelligence?

In essence, I don't see a generally accepted definition AI. One of the reasons for all the misconception.

Need to share a picture:

      
       George Parks Highway, Alaska!

IoT Security: Essential Requirements

One core requirement in IoT security is trust. Or, the other way around: We cannot trust an IoT device connected to the network unless we know exactly how it works. This is imperative! And it especially relevant with all the encrypted channels we see on the Internet. We might have MitM protection but we do not know what is on the wire and within the encrypted packages.

Real technology needs

There are lot of trends and buzzwords, AI is only one of them. But there are also other needs. One of them is usability in cyber security. Security is important and a critical success criteria for IoT. Security controls and technologies exist. But for an average user it is hard to comprehend and difficult to handle. This has direct impact on the posture of devices attached to the Internet. We definitely need much better usability in security for IoT. This encompasses the entire life cycle: installation, on-boarding, operation, and maintenance.