The Visual Display of Quantitative Information

Towards sustainable smart cities: A review of trends, architectures, components, and open challenges in smart cities

Internet of Things security

The surge in global population is compelling a shift toward smart agriculture practices. This coupled with the diminishing natural resources, limited availability of arable land, increase in unpredictable weather conditions makes food security a major concern for most countries. As a result, the use of Internet of Things (IoT) and data analytics (DA) are employed to enhance the operational efficiency and productivity in the agriculture sector. There is a paradigm shift from use of wireless sensor network (WSN) as a major driver of smart agriculture to the use of IoT and DA. The IoT integrates several existing technologies, such as WSN, radio frequency identification, cloud computing, middleware systems, and end-user applications. In this paper, several benefits and challenges of IoT have been identified. We present the IoT ecosystem and how the combination of IoT and DA is enabling smart agriculture. Furthermore, we provide future trends and opportunities which are categorized into technological innovations, application scenarios, business, and marketability.

An Overview of Internet of Things (IoT) and Data Analytics in Agriculture: Benefits and Challenges

Internet of Things (IoT) technology has attracted much attention in recent years for its potential to alleviate the strain on healthcare systems caused by an aging population and a rise in chronic illness. Standardization is a key issue limiting progress in this area, and thus this paper proposes a standard model for application in future IoT healthcare systems. This survey paper then presents the state-of-the-art research relating to each area of the model, evaluating their strengths, weaknesses, and overall suitability for a wearable IoT healthcare system. Challenges that healthcare IoT faces including security, privacy, wearability, and low-power operation are presented, and recommendations are made for future research directions.

Internet of Things for Smart Healthcare: Technologies, Challenges, and Opportunities

The Internet of Things (IoT) makes smart objects the ultimate building blocks in the development of cyber-physical smart pervasive frameworks. The IoT has a variety of application domains, including health care. The IoT revolution is redesigning modern health care with promising technological, economic, and social prospects. This paper surveys advances in IoT-based health care technologies and reviews the state-of-the-art network architectures/platforms, applications, and industrial trends in IoT-based health care solutions. In addition, this paper analyzes distinct IoT security and privacy features, including security requirements, threat models, and attack taxonomies from the health care perspective. Further, this paper proposes an intelligent collaborative security model to minimize security risk; discusses how different innovations such as big data, ambient intelligence, and wearables can be leveraged in a health care context; addresses various IoT and eHealth policies and regulations across the world to determine how they can facilitate economies and societies in terms of sustainable development; and provides some avenues for future research on IoT-based health care based on a set of open issues and challenges.

The Internet of Things for Health Care: A Comprehensive Survey

The increased deployment of Internet of Things (IoT) devices will make them targets for attacks. IoT devices can also be used as tools for committing crimes. In this regard, we propose FIF-IoT – a forensic investigation framework using a public digital ledger to find facts in criminal incidents in IoT-based systems. FIF-IoT collects interactions that take place among various IoT entities (clouds, users, and IoT devices) as evidence and store them securely as transactions in a public, distributed and decentralized blockchain network which is similar to the Bitcoin network. Hence, FIF-IoT eliminates a single entity's control over the evidence storage, avoids single-point-offailure on the storage media, and ensures high availability of evidence. FIF-IoT presents a framework that ensures integrity, confidentiality, anonymity, and non-repudiation of the evidence stored in the public digital ledger. Furthermore, FIF-IoT provides a mechanism to acquire evidence from the ledger and to verify the integrity of the obtained evidence. We present a case study of a forensic investigation to demonstrate that FIF-IoT is secure against evidence tampering. We also implement a prototype to evaluate the performance of FIF-IoT.

FIF-IoT: A Forensic Investigation Framework for IoT Using a Public Digital Ledger

The Internet of Vehicles (IoV) is a complex and dynamic mobile network system that enables information sharing between vehicles, their surrounding sensors, and clouds. While IoV opens new opportunities in various applications and services to provide safety on the road, it introduces new challenges in the field of digital forensics investigations. The existing tools and procedures of digital forensics cannot meet the highly distributed, decentralized, dynamic, and mobile infrastructures of the IoV. Forensic investigators will face challenges while identifying necessary pieces of evidence from the IoV environment, and collecting and analyzing the evidence. In this article, we propose TrustIoV – a digital forensic framework for the IoV systems that provides mechanisms to collect and store trustworthy evidence from the distributed infrastructure. Trust-IoV maintains a secure provenance of the evidence to ensure the integrity of the stored evidence and allows investigators to verify the integrity of the evidence during an investigation. Our experimental results on a simulated environment suggest that Trust-IoV can operate with minimal overhead while ensuring the trustworthiness of evidence in a strong adversarial scenario.

Trust-IoV: A Trustworthy Forensic Investigation Framework for the Internet of Vehicles (IoV)

The increased deployment of Internet of Things (IoT) devices will make them targets for attacks IoT devices can also be used as tools for committing crimes In this regard, we propose Probe-IoT — a forensic investigation framework using a public digital ledger to find facts in criminal incidents in IoT-based systems Probe-IoT collects interactions that take place among various IoT entities (clouds, users, and IoT devices) as evidence and stores them securely as transactions in public, distributed and decentralized blockchain network which is similar to the Bitcoin network Probe-IoT presents a scheme that ensures integrity, confidentiality, anonymity, and non-repudiation of the evidence stored in the public ledger Furthermore, during the investigation of a malicious incident, Probe-IoT provides a mechanism to acquire evidence from the ledger and verify the authenticity and integrity of the obtained evidence

Probe-IoT: A public digital ledger based forensic investigation framework for IoT

The Internet of Things (IoT) is becoming a key infrastructure for the development of smart ecosystems. However, the increased deployment of IoT devices with poor security has already rendered them increasingly vulnerable to cyber attacks. In some cases, they can be used as a tool for committing serious crimes. Although some researchers have already explored such issues in the IoT domain and provided solutions for them, there remains the need for a thorough analysis of the challenges, solutions, and open problems in this domain. In this paper, we consider this research gap and provide a systematic analysis of security issues of IoT-based systems. Then, we discuss certain existing research projects to resolve the security issues. Finally, we highlight a set of open problems and provide a detailed description for each. We posit that our systematic approach for understanding the nature and challenges in IoT security will motivate researchers to addressing and solving these problems.

Mahmud Hossain

Papers

The Internet of Things for Health Care: A Comprehensive Survey

FIF-IoT: A Forensic Investigation Framework for IoT Using a Public Digital Ledger

Trust-IoV: A Trustworthy Forensic Investigation Framework for the Internet of Vehicles (IoV)

Probe-IoT: A public digital ledger based forensic investigation framework for IoT

Securing the Internet of Things: A Meta-Study of Challenges, Approaches, and Open Problems