There is no standard approach to IoT security as it is not just about the device, or the network, or the clients, but a combination of several of these. Providing a solution that caters to the security requirements of participating entities i.e. the device, cloud, mobile application, network interfaces, device firmware and the ecosystem at large is a challenge.
Blockchains are transforming many industries beyond just revolutionizing digital currencies. While a large part of our focus is on how blockchains can empower a new form of “digital currency” that avoids the pitfalls of our existing currency system (namely, reliance on a central authorities like banks, avoiding expensive transaction fees and money fraud due to double-spending (Double Spending, n.d.)), many other industries are leveraging other unique benefits of blockchains to help them digitize their B2B processes of automatic audits, verifiability and contractual agreements. This brief note will describe some of these industries and how blockchain is helping them transform.
The importance of anomaly detection is due to the fact that anomalies in data translate to significant (and often critical) actionable information in a wide variety of application domains. This paper discusses the use of Machine Learning based Network Traffic Anomaly detection, to approach the challenges in securing devices and detect network intrusions.
This brief paper will talk about how blockchains can be effectively used in IoT Networks and focuses on how it can help solve common issues of scalability, trust & cost. The paper also discusses some of the disadvantages of blockchains for this purpose and how they might be overcome.
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