Abstract
<p class="0abstractCxSpFirst">Muti-view Web services have brought many advantages regarding the early abstraction of end users needs and constraints. Thus, security has been positively impacted by this paradigm, particularly, within Web services applications area, and then Multi-view Web services.</p><p class="0abstractCxSpMiddle">In our previous work, we introduce the concept of Multi-view Web services to Internet of Things architecture within a Cloud infrastructure by proposing a Proxy Security Layer which consists of Multi-view Web services allowing the identification and categorizing of all interacting IoT objects and applications so as to increase the level of security and improve the control of transactions.</p><p class="0abstractCxSpLast">Besides, Artificial Intelligence and especially Machine Learning are growing fast and are making it possible to simulate human being intelligence in many domains; consequently, it is more and more possible to process automatically a large amount of data in order to make decision, bring new insights or even detect new threats / opportunities that we were not able to detect before by simple human means.</p>In this work, we are bringing together the power of the Machine Learning models and The Multi-view Web services Proxy Security Layer so as to verify permanently the consistency of the access rules, detect the suspicious intrusions, update the policy and also optimize the Multi-view Web services for a better performance of the whole Internet of Things architecture.
Highlights
Multi-view Web services bring together the flexibility of Web services as well as user-oriented concept of the Multi-view abstraction notion
Several works tackled the security within Cloud infrastructure, the work of [11] for example, proposed a solution by introducing the concept of Security as a Service (SecaaS), which consists of giving the customer the possibility to get access to presecured services, which means, the service consumer will no longer need to put in place and maintain any policy or rule of security since the security constraints are taken in charge in a centralized manner by the service provider
Our work of [3] dealt with Multi-view Web services as a key component to build a new architecture layer (Proxy Security Layer) that provides a central control of the whole communications between Internet of Things (IoT) objects and applications within Cloud infrastructure
Summary
Multi-view Web services bring together the flexibility of Web services as well as user-oriented concept of the Multi-view abstraction notion. In our work of [3] we came up with a new Layer (Proxy Security Layer) based on Multi-view Web Services in such manner to play a iJES ‒ Vol 6, No 4, 2018. We are moving forward, and improving the architecture of the Proxy Security Layer, through the integration of Machine Learning Models [15] as a key mean of training and optimizing the Multi-view Web services and to make the Proxy Security Layer more accurate, self-updating and intelligent. Came the motivation of this work, to address this issue by taking advantage of Artificial Intelligence and Machine Learning Models in order to dynamically train and maintain the Proxy Security Layer.
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