The Internet of Things (IoT) has become an integral part of our daily lives. While modern interactions have become more convenient due to the myriad of IoT devices, this diversity also makes IoT devices fertile targets for cyber attacks. However, due to the resource constraints of IoT deployment devices, intrusion detection schemes must be customized to meet the specific requirements of the IoT environment, especially in terms of power consumption and computing performance. In this paper, we benchmark multiple lightweight CNN-based models using public IoT network traffic datasets due to their wide popularity in network traffic classification. We evaluated also 1D and 2D variants of an optimized CNN model. Empirical results reveal that 1D models tend to perform better than 2D variants and other evaluated popular lightweight models. On the other hand, 2D-CNN offers less computation time and less memory footprint when compared with 1D-CNN indicating better efficiency. We further subject the competing methods to an early intrusion detection experiment. Results indicate that intrusions are successfully detected using as few as 6 initial packets of a session.

Achieving an alignment of the components within an Enterprise Architecture (EA) is challenging since it reflects both the business and IT views, and it must be regularly updated in response to the changes of the firm. Blockchain technology, and more specifically the means by which the logic of smart contracts may be extended to the business, is one avenue that has been explored and that may still be fruitful in addressing the issue. Through the use of smart contracts, we offer a new form of activity for operational processes that may identify when the process in which they are engaged exhibits unexpected behavior and so provide early warning of the need to update the EA. This research goes in depth as well as proposes a model to allow for a continuous alignment between the IT and business operations. Not only during normal circumstances would this model be able to be upheld but the research focuses on instances where both operations might experience unfavorable situations due to unforeseen circumstances. In these instances by implementing a blockchain solution both IT and business operations can stay intact without the inclusion of a third party allowing for the blockchain to make autonomous decisions as well as providing a middle ware between both entities to continue their operations.