https://minerva-access.unimelb.edu.au/bitstream/handle/11343/197439/1207.0203v1.pdf

Internet of Things (IoT): A vision, architectural elements, and future directions

Internet of Things (IoT) is an emerging domain that promises ubiquitous connection to the Internet, turning common objects into connected devices. The IoT paradigm is changing the way people interact with things around them. It paves the way for creating pervasively connected infrastructures to support innovative services and promises better flexibility and efficiency. Such advantages are attractive not only for consumer applications, but also for the industrial domain. Over the last few years, we have been witnessing the IoT paradigm making its way into the industry marketplace with purposely designed solutions. In this paper, we clarify the concepts of IoT, Industrial IoT, and Industry 4.0. We highlight the opportunities brought in by this paradigm shift as well as the challenges for its realization. In particular, we focus on the challenges associated with the need of energy efficiency, real-time performance, coexistence, interoperability, and security and privacy. We also provide a systematic overview of the state-of-the-art research efforts and potential research directions to solve Industrial IoT challenges.

Industrial Internet of Things: Challenges, Opportunities, and Directions

Ubiquitous sensing enabled by Wireless Sensor Network (WSN) technologies cuts across many areas of modern day living. This offers the ability to measure, infer and understand environmental indicators, from delicate ecologies and natural resources to urban environments. The proliferation of these devices in a communicating-actuating network creates the Internet of Things (IoT), wherein, sensors and actuators blend seamlessly with the environment around us, and the information is shared across platforms in order to develop a common operating picture (COP). Fuelled by the recent adaptation of a variety of enabling device technologies such as RFID tags and readers, near field communication (NFC) devices and embedded sensor and actuator nodes, the IoT has stepped out of its infancy and is the the next revolutionary technology in transforming the Internet into a fully integrated Future Internet. As we move from www (static pages web) to web2 (social networking web) to web3 (ubiquitous computing web), the need for data-on-demand using sophisticated intuitive queries increases significantly. This paper presents a cloud centric vision for worldwide implementation of Internet of Things. The key enabling technologies and application domains that are likely to drive IoT research in the near future are discussed. A cloud implementation using Aneka, which is based on interaction of private and public clouds is presented. We conclude our IoT vision by expanding on the need for convergence of WSN, the Internet and distributed computing directed at technological research community.

Internet of Things (IoT): A Vision, Architectural Elements, and Future Directions

Wireless sensor networks for healthcare: A survey

The Internet of Things vision: Key features, applications and open issues

A direct interpretation of the term Internet of Things refers to the use of standard Internet protocols for the human-to-thing or thing-to-thing communication in embedded networks. Although the security needs are well-recognized in this domain, it is still not fully understood how existing IP security protocols and architectures can be deployed. In this paper, we discuss the applicability and limitations of existing Internet protocols and security architectures in the context of the Internet of Things. First, we give an overview of the deployment model and general security needs. We then present challenges and requirements for IP-based security solutions and highlight specific technical limitations of standard IP security protocols.

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Security Challenges in the IP-based Internet of Things

A direct interpretation of the Internet of Things concept refers to
the usage of standard Internet protocols to allow for human-to-thing
or thing-to-thing communication. Although the security needs are well-
recognized, it is still not fully clear how existing IP-based security
protocols can be applied to this new setting. This Internet-Draft
first provides an overview of security architecture, its deployment
model and general security needs in the context of the lifecycle of a
thing. Then, it presents challenges and requirements for the
successful roll-out of new applications and usage of standard IP-based
security protocols when applied to get a functional Internet of
Things.

Security Considerations in the IP-based Internet of Things

The IP-based Internet of Things (IoT) refers to the pervasive interaction of smart devices and people enabling new applications by means of new IP protocols such as 6LoWPAN and CoAP. Security is a must, and for that we need a secure architecture in which all device interactions are protected, from joining an IoT network to the secure management of keying materials. However, this is challenging because existing IP security protocols do not offer all required functionalities and typical Internet solutions do not lead to the best performance.We propose and compare two security architectures providing secure network access, key management and secure communication. The first solution relies on a new variant of the Host Identity Protocol (HIP) based on pre-shared keys (PSK), while the second solution is based on the standard Datagram Transport Layer Security (DTLS). Our evaluation shows that although the HIP solution performs better, the currently limited usage of HIP poses severe limitations. The DTLS architecture allows for easier interaction and interoperability with the Internet, but optimizations are needed due to its performance issues.

Securing the IP-based internet of things with HIP and DTLS

Wireless sensor networks are going to allow for ubiquitous health monitoring, improving users' well-being, the healthcare system, and helping to quickly react on emergency situations. Meeting the strict security needs of these ubiquitous medical applications is a big challenge, since safety and privacy of medical data has to be guaranteed all the way from the sensor nodes to the back-end services, the system has to fulfill latency needs, and lots of mobility is expected. In this paper, we introduce a deployment model for wireless sensor networks for pervasive healthcare based on the concepts of patient area networks and medical sensor networks, and propose a complete and efficient security framework for them. Our security framework is organized into three layers, addressing the operational requirements and security needs at the patient area network, medical sensor network and back-end levels. We specify how these layers are interconnected with each other as well as the needed security mechanisms that allow for the efficient and practical deployment of secure pervasive healthcare systems based on wireless sensor networks.

/pdf/security-for-pervasive-medical-sensor-networks-5dvco44vce.pdf

Security for pervasive medical sensor networks

We present the ring-based configuration of the NIST submission Round5, a Ring Learning with Rounding (RLWR)- based IND-CPA secure public-key encryption scheme. It combines elements of the NIST candidates Round2 (use of RLWR as underlying problem, having \(1+x+\ldots +x^n\) with \(n+1\) prime as reduction polynomial, allowing for a large design space) and HILA5 (the constant-time error-correction code XEf). Round5 performs part of encryption, and decryption via multiplication in \(\mathbb {Z}_{p}[x]/(x^{n+1}-1)\), and uses secret-key polynomials that have a factor \((x-1)\). This technique reduces the failure probability and makes correlation in the decryption error negligibly low. The latter allows the effective application of error correction through XEf to further reduce the failure rate and shrink parameters, improving both security and performance.

/pdf/round5-compact-and-fast-post-quantum-public-key-encryption-17yk5xqdvc.pdf

Oscar Garcia-Morchon

Papers

Security Challenges in the IP-based Internet of Things

Security Considerations in the IP-based Internet of Things

Securing the IP-based internet of things with HIP and DTLS

Security for pervasive medical sensor networks

Round5: Compact and Fast Post-quantum Public-Key Encryption