Automated IoT device identification based on full packet information using real-time network traffic

In an Internet of Things (IoT) environment, a large volume of potentially confidential data might be leaked from sensors installed everywhere. To ensure the authenticity of such sensitive data, it is important to initially verify the source of data and its identity. Practically, IoT device identification is the primary step toward a secure IoT system. An appropriate device identification approach can counteract malicious activities such as sending false data that trigger irreparable security issues in vital or emergency situations. Recent research indicates that primary identity metrics such as Internet Protocol (IP) or Media Access Control (MAC) addresses are insufficient due to their instability or easy accessibility. Thus, to identify an IoT device, analysis of the header information of packets by the sensors is of imperative consideration. This paper proposes a combination of sensor measurement and statistical feature sets in addition to a header feature set using a classification-based device identification framework. Various machine Learning algorithms have been adopted to identify different combinations of these feature sets to provide enhanced security in IoT devices. The proposed method has been evaluated through normal and under-attack circumstances by collecting real-time data from IoT devices connected in a lab setting to show the system robustness

A Comprehensive Security Architecture for Information Management throughout the Lifecycle of IoT Products

The Internet of things (IoT) is expected to have an impact on business and the world at large in a way comparable to the Internet itself. An IoT product is a physical product with an associated virtual counterpart connected to the internet with computational as well as communication capabilities. The possibility to collect information from internet-connected products and sensors gives unprecedented possibilities to improve and optimize product use and maintenance. Virtual counterpart and digital twin (DT) concepts have been proposed as a solution for providing the necessary information management throughout the whole product lifecycle, which we here call product lifecycle information management (PLIM). Security in these systems is imperative due to the multiple ways in which opponents can attack the system during the whole lifecycle of an IoT product. To address this need, the current study proposes a security architecture for the IoT, taking into particular consideration the requirements of PLIM. The security architecture has been designed for the Open Messaging Interface (O-MI) and Open Data Format (O-DF) standards for the IoT and product lifecycle management (PLM) but it is also applicable to other IoT and PLIM architectures. The proposed security architecture is capable of hindering unauthorized access to information and restricts access levels based on user roles and permissions. Based on our findings, the proposed security architecture is the first security model for PLIM to integrate and coordinate the IoT ecosystem, by dividing the security approaches into two domains: user client and product domain. The security architecture has been deployed in smart city use cases in three different European cities, Helsinki, Lyon, and Brussels, to validate the security metrics in the proposed approach. Our analysis shows that the proposed security architecture can easily integrate the security requirements of both clients and products providing solutions for them as demonstrated in the implemented use cases

Product Lifecycle Information Management with Digital Twin: A Case Study

The use of new-generation information technologies in industry and manufacturing is increasing rapidly. However, although information about products is generated and consumed during their entire lifecycle, current research on Product Lifecycle Management (PLM) tends to focus mainly on the physical products themselves rather than on the related information. The Digital Twin (DT) concept aims to connect the physical world with the virtual one by making all the information about physical objects accessible from a single place, even though that information might be distributed over many information systems. This paper presents and analyses new Product Lifecycle Information Management (PLIM) with DT for managing the lifecycle of smart products in the IoT environment. A real-world use case that is a recently finished main building of the Aalto University campus is presented to demonstrate the proposed approach

The interval of educational services' quality in 17 universities of medical sciences in Iran

Background and purpose: The process of improving the quality of services in healthcare and treatment has a special place in terms of organizational complexity and importance of efficiency. Models of organizational growth have provided an appropriate context for evaluating the performance and quality of organizations by using Total Quality Management (TQM) method. It should be noted that all parts of society benefit from services of educational environments. Therefore the aim of this research was to measure quality of services in order to constantly improve the quality of services in 17 universities of medical sciences in Iran. Methods: This research was a cross sectional descriptive survey. SERVQUAL standard questionnaire was used as research tool. After questionnaires were collected, the data was fed into APSS21 software. Descriptive statistics and advanced statistical tests were used to measure the interval of educational services. Result: 2767 samples were collected in this study. In general the average level of students’ expectations was 3.85±.93 and the average level of their perception was 3.16±.55. By subtracting this average level of average level of expectation, the interval was-.69±1.02. In all samples total interval in assurance dimension was-.735±1.12, responsiveness-.650±1.16, reliability-.605±1.04, empathy-.739±1.22, and in physical dimension was-.590±1.23. Conclusion: Yasuj university of medical sciences had the highest interval of educational services quality and north Khorasan had the lowest interval. It is generally recommended that each university form a unit called “quality improvement” in order to evaluate regularly and improve the quality of services. © 2018, Editorial office of Journal of International Pharmaceutical Research. All rights reserved