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

The fast development of the Internet of Things (IoT) technology in recent years has supported connections of numerous smart things along with sensors and established seamless data exchange between them, so it leads to a stringy requirement for data analysis and data storage platform such as cloud computing and fog computing. Healthcare is one of the application domains in IoT that draws enormous interest from industry, the research community, and the public sector. The development of IoT and cloud computing is improving patient safety, staff satisfaction, and operational efficiency in the medical industry. This survey is conducted to analyze the latest IoT components, applications, and market trends of IoT in healthcare, as well as study current development in IoT and cloud computing-based healthcare applications since 2015. We also consider how promising technologies such as cloud computing, ambient assisted living, big data, and wearables are being applied in the healthcare industry and discover various IoT, e-health regulations and policies worldwide to determine how they assist the sustainable development of IoT and cloud computing in the healthcare industry. Moreover, an in-depth review of IoT privacy and security issues, including potential threats, attack types, and security setups from a healthcare viewpoint is conducted. Finally, this paper analyzes previous well-known security models to deal with security risks and provides trends, highlighted opportunities, and challenges for the IoT-based healthcare future development.

https://www.mdpi.com/2079-9292/8/7/768/pdf

A Survey on Internet of Things and Cloud Computing for Healthcare

The emergence of massive Internet of Things (IoT) mobile devices (MDs) and the deployment of ultradense 5G cells have promoted the evolution of IoT toward ultradense IoT networks. In order to meet the diverse quality-of-service and quality of experience demands from the ever-increasing IoT applications, the ultradense IoT networks face unprecedented challenges. Among them, a fundamental one is how to address the conflict between the resource-hungry IoT mobile applications and the resource-constrained IoT MDs. By offloading the IoT MDs’ computation tasks to the edge servers deployed at the radio access infrastructures, including macro base station (MBS) and small cells, mobile-edge computation offloading (MECO) provides us a promising solution. However, note that available MECO research mostly focused on single-tier base station scenario and computation offloading between the MDs and the edge server connected to the MBS. Little works can be found on performing MECO in ultradense IoT networks, i.e., a multiuser ultradense edge server scenario. Toward this end, we provide this paper to study the MECO problem in ultradense IoT networks, and propose a two-tier game-theoretic greedy offloading scheme as our solution. Extensive numerical results corroborate the superior performance of conducting computation offloading among multiple edge servers in ultradense IoT networks.

Mobile-Edge Computation Offloading for Ultradense IoT Networks

A comprehensive survey on wireless sensor node hardware platforms

The resource-constrained nature and large-scale adoption of Internet of Things (IoT) have a significant challenge for securing IoT applications. This necessitates a robust and lightweight security architecture and schemes as the existing traditional Internet security architecture and protocols require huge resources and lack of end-to-end security mechanism. In this research, a resource efficient end-to-end security scheme has been proposed by offloading computations and storage of security parameters to fog nodes in the vicinity. In addition, a symmetric-key payload encryption has been used to minimize the overhead of message communication in the resource-contested IoT environment. The analysis shows that the proposed scheme outperforms Transport Layer Security (TLS) in resource usage while it maintains equivalent authenticated end-to-end communication between communicating IoT nodes. The proposed end-to-end security scheme saves more communication bandwidth and incurs less overhead as compared to existing TLS-based security schemes. In particular, the proposed system uses less number of handshakes and achieves a decrease in the number of transmitted messages (approximately 184 bytes as compared to compared TSL message size of 332 bytes) for every handshake. Further, it has been demonstrated through experiments that the proposed security method incurs less overheads as compared to the TLS bandwidth consumption considering a single connection session during message subscription.

/pdf/lightweight-authenticated-encryption-scheme-for-internet-of-3eacfzry74.pdf

Lightweight Authenticated-Encryption Scheme for Internet of Things Based on Publish-Subscribe Communication

The Internet of Things (IoT) is revolutionizing the Internet of the future and the way smart devices, people, and processes interact with each other. Challenges in endpoint devices (EDs) communication are due not only to the security and privacy-related requirements but also due to the ever-growing amount of data transferred over the network that needs to be handled, which can considerably reduce the system availability to perform other tasks. This paper presents an IPv6 over low power wireless personal area networks (6LoWPAN) accelerator for the IP-based IoT networks, which is able to process and filter IPv6 packets received by an IEEE 802.15.4 radio transceiver without interrupting the microcontroller. It offers nearly 13.24% of performance overhead reduction for the packet processing and the address filtering tasks, while guaranteeing full system availability when unwanted packets are received and discarded. The contribution is meant to be deployed on heterogeneous EDs at the network edge, which include on the same architecture, field-programmable gate array (FPGA) technology beside a microcontroller and an IEEE 802.15.4-compliant radio transceiver. Performed evaluations include the low FPGA hardware resources utilization and the energy consumption analysis when the processing and accepting/rejection of a received packet is performed by the 6LoWPAN accelerator.

A 6LoWPAN Accelerator for Internet of Things Endpoint Devices

The ubiquitous connectivity of the low-end devices in the Internet of Things (IoT) brings new challenges over the traditional wireless sensor networks’ architectures. Such challenges require not only security and privacy-related features, but also solutions to handle the ever-growing amount of data transferred over the network. However, performing such tasks on resource constrained devices is not straightforward. The need for energy-efficient devices, while preserving their performance and security capabilities, requires new solutions at the architectural level of the wireless device. This paper proposes a heterogeneous architecture that targets low-end and resource constrained IoT devices, combining a hardcore microcontroller unit (MCU) and a reconfigurable computing unit (RCU) with an IEEE 802.15.4 radio transceiver. The MCU hosts an embedded operating system with an IoT-enabled network stack, and exploits the available field-programmable gate array technology to implement the RCU and to deploy customized sensing- and network-related accelerators, offloading heavy, and/or complex software tasks to dedicated hardware blocks. The customizable and trustable end-device mote was implemented using the proposed architecture and the achieved results demonstrates the benefits, both in terms of performance and energy, of accelerating network-related tasks in always-connected resource constrained IoT devices.

CUTE Mote, A Customizable and Trustable End-Device for the Internet of Things

In the development of real-time systems, predictability is often hindered by technological factors which break the timing abstractions offered by real time operating systems (RTOSs); namely, the priority space separation between threads and interrupts induces the rate-monotonic problem. Software approaches have tackled this issue, attempting to unify the priority space with varying degrees of success. We present a hardware approach to the problem: unifying the priority space at the interrupt handling subsystem, predictability is greatly enhanced with minimum software modifications. Our solution provides the interrupt controller with awareness of the currently running task’s priority making the solution independent of the used operating system. We show how our approach is minimally intrusive at hardware architecture level and provides benefits beyond the capabilities of previous approaches. Our technique shows a 0.05% run-time overhead if no interrupts occur, and run-time reduction proportional to interrupt rate for rates higher than 5 per s, for a interrupt workload around 0.07 ms.

Task-Aware Interrupt Controller: Priority Space Unification in Real-Time Systems

Bringing IPv6 connectivity to low-end wireless sensor nodes leads to considerable device resources utilization, e.g., central processing unit and energy, caused by the increased amount of data transferred over the network that needs to be handled. In order to reduce these overheads, this letter proposes an IEEE 802.15.4 accelerator for heterogeneous wireless sensor systems that target the Internet of Things sensing applications, which include on the same node, field-programmable gate array technology beside a microcontroller provided with wireless connectivity. The deployed solution implements the Third-level of filtering specified by the standard, and performs basic packet handling such as the detection of multiple receptions of the same frame. The obtained results show the benefits of including such accelerator on the reconfigurable computing unit, offering nearly 17 of overhead reduction. All filtering functionalities are executed by the accelerator to discard unneeded data frames, which avoids unnecessary interrupts to the operating system and increases the system availability up to 59.

Building IEEE 802.15.4 Accelerators for Heterogeneous Wireless Sensor Nodes

Embedded virtualization possesses inherent challenges which differentiate the domain from traditional virtualization application fields such as server and desktop computing Standard software virtualization solutions have a negative impact, not only on memory footprint and performance, but also on determinism and interrupt latency which are critical for the embedded real-time domain Thus, efficient embedded virtualization requires domain-specific software and hardware supportThis paper presents work in progress results of hardware-based Hypervisor implementation The use cases of embedded virtualization are analyzed, justifying the reasoning for hardware-supported virtualization Architectural and micro-architectural improvements to an ARM v5TE processor are described, demonstrating the performance advantages, and compared against ARM Virtualization Extensions, identifying respective vulnerabilities and providing alternative solutions which enable higher flexibility, minimizing virtualization costs The research roadmap towards a hardware-complete Hypervisor, based on the presented results, is described

/pdf/towards-hardware-embedded-virtualization-technology-4z3qm1teg9.pdf

F. Salgado

Papers

A 6LoWPAN Accelerator for Internet of Things Endpoint Devices

CUTE Mote, A Customizable and Trustable End-Device for the Internet of Things

Task-Aware Interrupt Controller: Priority Space Unification in Real-Time Systems

Building IEEE 802.15.4 Accelerators for Heterogeneous Wireless Sensor Nodes

Towards hardware embedded virtualization technology: architectural enhancements to an ARM SoC