Data Mining Practical Machine Learning Tools and Techniques

Industry 4.0 provides new paradigms for the industrial management of SMEs. Supported by a growing number of new technologies, this concept appears more flexible and less expensive than traditional ...

The industrial management of SMEs in the era of Industry 4.0

Current research on Internet of Things (IoT) security: A survey

A Comprehensive Survey on Attacks, Security Issues and Blockchain Solutions for IoT and IIoT

The future Internet of Things (IoT) will have a deep economical, commercial and social impact on our lives. The participating nodes in IoT networks are usually resource-constrained, which makes them luring targets for cyber attacks. In this regard, extensive efforts have been made to address the security and privacy issues in IoT networks primarily through traditional cryptographic approaches. However, the unique characteristics of IoT nodes render the existing solutions insufficient to encompass the entire security spectrum of the IoT networks. Machine Learning (ML) and Deep Learning (DL) techniques, which are able to provide embedded intelligence in the IoT devices and networks, can be leveraged to cope with different security problems. In this paper, we systematically review the security requirements, attack vectors, and the current security solutions for the IoT networks. We then shed light on the gaps in these security solutions that call for ML and DL approaches. Finally, we discuss in detail the existing ML and DL solutions for addressing different security problems in IoT networks. We also discuss several future research directions for ML- and DL-based IoT security.

Machine Learning in IoT Security: Current Solutions and Future Challenges

Secure routing for internet of things

SecTrust-RPL: A secure trust-aware RPL routing protocol for Internet of Things

This research addresses blackhole routing attacks —a fundamental security attack on the routing of data in IoT networks. Most IoT devices today, from medical devices to connected vehicles and even smart buildings, come bundled with the capability of communicating wirelessly with one another. Consumers are progressively embracing the concept of connected devices while recent studies indicate that security is not high on the priority list of manufacturers especially in the way these devices route and communicate data amongst themselves thus, leaving the door wide open to attacks and compromises. We propose a trust-based RPL routing protocol, which addresses the blackhole attacks. We show that our proposed system is both secure from blackhole attacks while not imposing undue overheads on network traffic.

Securing RPL routing protocol from blackhole attacks using a trust-based mechanism

Background The use of mobile devices in health (mobile health/mHealth) coupled with related technologies promises to transform global health delivery by creating new delivery models that can be integrated with existing health services. These delivery models could facilitate healthcare delivery into rural areas where there is limited access to high-quality access care. Mobile technologies, Internet of Things and 5G connectivity may hold the key to supporting increased velocity, variety and volume of healthcare data. Objective The purpose of this study is to identify and analyse challenges related to the current status of India’s healthcare system—with a specific focus on mHealth and big-data analytics technologies. To address these challenges, a framework is proposed for integrating the generated mHealth big-data and applying the results in India9s healthcare. Method A critical review was conducted using electronic sources between December 2018 and February 2019, limited to English language articles and reports published from 2010 onwards. Main outcome This paper describes trending relationships in mHealth with big-data as well as the accessibility of national opportunities when specific barriers and constraints are overcome. The paper concentrates on the healthcare delivery problems faced by rural and low-income communities in India to illustrate more general aspects and identify key issues. A model is proposed that utilises generated data from mHealth devices for big-data analysis that could result in providing insights into the India population health status. The insights could be important for public health planning by the government towards reaching the Universal Health Coverage. Conclusion Biomedical, behavioural and lifestyle data from individuals may enable customised and improved healthcare services to be delivered. The analysis of data from mHealth devices can reveal new knowledge to effectively and efficiently support national healthcare demands in less developed nations, without fully accessible healthcare systems.

https://informatics.bmj.com/content/bmjhci/26/1/e100071.full.pdf

mHealth and big-data integration: promises for healthcare system in India.

This research addresses blackhole and selective forwarding routing attacks, which are fundamental security attacks on the routing of data in IoT networks. Most IoT devices today, from medical devices to connected vehicles and even smart buildings, have the capability of communicating wirelessly with one another. Although, consumers are progressively embracing the concept of connected devices, recent studies indicate that security is not high on the priority list of manufacturers, especially in the way these IoT devices route and communicate data amongst themselves. Thus, it leaves the door wide open to attacks and compromises. In this study, a trust-based routing Protocol for Low-Power and Lossy Networks, addressing blackhole and selective forwarding attacks is proposed. We show that our proposed protocol is not only secure from blackhole and selective forwarding attacks, but also does not impose undue overheads on network traffic.

David Airehrour

Papers

Secure routing for internet of things

SecTrust-RPL: A secure trust-aware RPL routing protocol for Internet of Things

Securing RPL routing protocol from blackhole attacks using a trust-based mechanism

mHealth and big-data integration: promises for healthcare system in India.

A trust-aware RPL routing protocol to detect blackhole and selective forwarding attacks