Baraa I. Farhan, Rawaa Ismael Farhan, Ghaith A. Hussein
With the adoption of assorted gadgets and technology loaded devices, there is need to work on security and privacy while using such platforms. Now, the focus of concern has turned to the overwhelming secrecy, the high performance security, and integrity of the transactions in the cyber space. In relation to a chain of records which is interlinked and highly encrypted due to the involving hashing and encryption each process, it is known as a blockchain. The blockchain removes the possibility of a fraudulent or accidental tampering with the framework. Blockchain has the ability to store sensor data, as well as the capacity to thwart data falsification. IoT deployment plans are usually complex, and the distributed ledger is particularly well-suited for Internet of Things (IoT) discovery, authentication, and recording of information. Wireless body networks are set to be published here on the use trends of Blockchain deployment using advanced scripting and embedded technology the included incorporation of effectual effects gives the final results as well as opposed to the conventional cryptography approach to security.
The internet of things (IoT) refers to a framework of interrelated, web associated objects that can gather and move information over a remote network without human interference. With a quick development in the arrangement of IoT gadgets and expanding want to make medical care more financially savvy, customized, and proactive, IoT is ready to assume a solid function in all perspectives of the healthcare industry. In this context, IoT-based healthcare provides several benefits such as instant and reliable treatment, cost reduction, improved communication, etc. by using different new technologies. Wireless Body Area Networks (WBAN) technologies can enhance the quality of data gathering and data transferring in smart systems. Machine Learning(ML) are put to use at every level of smart healthcare systems. Fog computing reduces communication cost and provides low latency. Software-Defined Networking (SDN) and Network Function Virtualization (NFV) technologies provide less complex and more flexible network structures. Blockchain technology offers a better way of protection of users' sensitive information. This paper aims to provide comprehensive descriptions of ongoing research projects and the utilization of the above-mentioned technologies in smart healthcare systems. In this paper, the latest studies, proposed techniques, and the current solutions of smart healthcare systems are elaborated in the context of emerging technologies, applications and challenges of these systems to provide a better understanding of what IoT means in the healthcare industry now and what it will mean in the future.
Jesús Sánchez-Gómez, Rafael Marín-Pérez, Mirko Ross, Antonio Fernando Skarmeta Gomez
IoT applications have recently proliferated due to their applicability in several fields, as well as the growing number of enabler technologies. For this reason, the landscape presents vast deployments formed by end-devices with heterogeneous capabilities or requirements. Low-power wide-area communication technologies have partially filled the gap for low-bandwidth low-cost IoT devices that are placed in vast coverage areas without a power-grid or cellular signal. However, these technologies seldom offer interoperable solutions to manage security-related tasks, such as monitoring cybersecurity attacks or firmware update distribution. Thus, there is a need for a human-centric platform that enables trust-worthy management of large heterogeneous IoT networks. In this work, we present a solution that enables trust monitoring and firmware update distribution employing novel open standardization efforts designed for constrained devices. The presented solution leverages on LO-CoAP-EAP, a novel lightweight bootstrapping protocol, LoRaWAN, a widespread long-range communication technology, SCHC, an IPv6 header compression and fragmentation mechanism, OSCORE, an end-to-end application-layer protection, IPFS a peer-to-peer decentralized storage solution, as well as a Hyperledger, a distributed ledger technology for secure validation of the distributed contents.
Time synchronization among IoT devices is a fundamental requirement for efficient and reliable communication on a global scale. Common synchronization schemes such as NTP operate on a trust-based client-server model, which does not scale well in a decentralized network because single server failures can lead to a severe downtime before re-establishing synchronization. Public blockchains such as Ethereum provide a trustless network and tamper-proof time-stamped data that is freely available. In this paper, we leverage the availability of time information in the block headers, which are very small (several hundreds of bytes) compared to the full blocks and can be validated without participation in the mining process. Our approach uses two estimators that are fed with the timestamps from block headers as well as the elapsed time between consecutive block receptions to estimate the true time to an accuracy of one second. We evaluate our approach by extensive validation on blockchain data from different geographical locations across the globe and show that global synchronization can be established despite the non-deterministic behavior of blockchains such as mining difficulty, network latencies and forks.
The emergence of biomedical sensor devices, wireless communication, and innovation in other technologies for healthcare applications result in the evolution of a new area of research that is termed as Wireless Body Area Networks (WBANs). WBAN originates from Wireless Sensor Networks (WSNs), which are used for implementing many healthcare systems integrated with networks and wireless devices to ensure remote healthcare monitoring. WBAN is a network of wearable devices implanted in or on the human body. The main aim of WBAN is to collect the human vital signs/physiological data (like ECG, body temperature, EMG, glucose level, etc.) round-the-clock from patients that demand secure, optimal and efficient routing techniques. The efficient, secure, and reliable designing of routing protocol is a difficult task in WBAN due to its diverse characteristic and restraints, such as energy consumption and temperature-rise of implanted sensors. The two significant constraints, overheating of nodes and energy efficiency must be taken into account while designing a reliable blockchain-enabled WBAN routing protocol. The purpose of this study is to achieve stability and efficiency in the routing of WBAN through managing temperature and energy limitations. Moreover, the blockchain provides security, transparency, and lightweight solution for the interoperability of physiological data with other medical personnel in the healthcare ecosystem. In this research work, the blockchain-based Adaptive Thermal-/Energy-Aware Routing (ATEAR) protocol for WBAN is proposed. Temperature rise, energy consumption, and throughput are the evaluation metrics considered to analyze the performance of ATEAR for data transmission. In contrast, transaction throughput, latency, and resource utilization are used to investigate the outcome of the blockchain system. Hyperledger Caliper, a benchmarking tool, is used to evaluate the performance of the blockchain system in terms of CPU utilization, memory, and memory utilization. The results show that by preserving residual energy and avoiding overheated nodes as forwarders, high throughput is achieved with the ultimate increase of the network lifetime. Castalia, a simulation tool, is used to evaluate the performance of the proposed protocol, and its comparison is made with Multipath Ring Routing Protocol (MRRP), thermal-aware routing algorithm (TARA), and Shortest-Hop (SHR). Evaluation results illustrate that the proposed protocol performs significantly better in balancing of temperature (to avoid damaging heat effect on the body tissues) and energy consumption (to prevent the replacement of battery and to increase the embedded sensor node life) with efficient data transmission achieving a high throughput value.
Abstract Objective: In order to cope with a sudden outbreak of new coronavirus infection, a large number of potential infected persons need to be isolated. A new smart monitoring system which integrates Internet of things and blockchain technology to monitor isolated people in real time was design and studied.Methods: A internet of things devices will collects the location and physical data of isolated people, the data will be sent to master devices which will integrate and format those data and transfer to a smart contract. A smart contract compares and analyses the data with the threshold which is predefined. When the data exceed the threshold, the smart contract will alert the master device, which will notify the isolated person and center for disease control and prevention, the event will be stored in the consortium blockchain. The blockchain does not store the isolated people's details, which are stored in electronic health records linked to the blockchain to guarantee the data safety.Results: This system realizes the effective real-time monitoring of isolators including their physical condition and geographical position on the premise of protecting their privacy and security.Conclusion: By the system, the center for disease control and prevention can respond quickly according to their alerts. It has the advantages of good integrity, tamper-proof, and transparency to isolators.
Wireless body area network includes some tiny wearable sensors for monitoring the physiological data of user, which has been a promising method of promoting the quality and efficiency greatly in healthcare. The collected physical signs are aggregated into the medical documents and uploaded to cloud server for utilizing by the remote user. As these files are highly sensitive privacy data, there is a vital challenge that constructs a secure and efficient communication architecture in this application scenario. Based on this standpoint, we present a lightweight verifiability ciphertext-policy attribute-based encryption protocol with outsourced decryption in this article. Specifically, our construction enjoys the following six features: (1) Although the outsourced decryption enables to save the computation overhead of the data user sharply in an attribute-based encryption scheme, the ciphertext is out of control and the correctness cannot be guaranteed by the data owner. The proposal provides the verifiability of ciphertext that ensures the user to check the correctness efficiently. (2) The size of the ciphertext is constant that is not increased with the complexity of attribute and access structure. (3) For Internet of Things devices, it introduces the fog computing into our protocol for the purpose of low latency and relation interactions, which has virtually saved the bandwidth. (4) With the help of blockchain technique, we encapsulate the hash value of public parameter, original and transformed ciphertext and transformed key into a block, so that the tamper-resistance is facilitated against an adversary from inside and outside the system. (5) In the standard model, we prove that it is selectively chosen-plaintext attack-secure and verifiable provided that the computational bilinear Diffie–Hellman assumption holds. (6) It implements this protocol and shows the result of performance measurement, which indicates a significant reduction on communication and computation costs burden on every entity in wireless body area network.
With the development of sensor devices, wireless sensor networks have been widely used, and Wireless Body Area Networks (WBANs) are relatively common application scenarios in wireless sensor networks. The wearable device is used to collect physiological data of the human body, and the server device is adopted to store physiological data of the human body. The openness of the network environment and network devices’ dynamic nature make WBANs vulnerable to security threats from attackers. The centralized two-hop architecture contains only one hub node, and the data stored in the hub node may be tampered with by attackers. Once attackers occupy the node, the entire network will be paralyzed. To tackle such an issue, it is proposed in this article a model in WBANs architecture based on Blockchain technology, where the authentication protocol and blind signature protocol between nodes are designed in the new WBANs model, making the Blockchain data transmission system in a wireless network environment secure and reliable. Experimental results show that the proposed method is promising and shows higher levels of safety and stability than other methods.
The Internet of Medical Things (IoMT) is a kind of connected infrastructure of smart medical devices along with software applications, health systems and services. These medical devices and applications are connected to healthcare systems through the Internet. The Wi-Fi enabled devices facilitate machine-to-machine communication and link to the cloud platforms for data storage. IoMT has the ability to make accurate diagnoses, with fewer mistakes and lower costs of care. IoMT with smartphone applications permits the patients to exchange their health related confidential and private information to the healthcare experts (i.e., doctors) for the better control of diseases, and also for tracking and preventing chronic illnesses. Due to insecure communication among the entities involved in IoMT, an attacker can tamper with the confidential and private health related information for example an attacker can not only intercept the messages, but can also modify, delete or insert malicious messages during communication. To deal this sensitive issue, we design a novel blockchain enabled authentication key agreement protocol for IoMT environment, called BAKMP-IoMT. BAKMP-IoMT provides secure key management between implantable medical devices and personal servers and between personal servers and cloud servers. The legitimate users can also access the healthcare data from the cloud servers in a secure way. The entire healthcare data is stored in a blockchain maintained by the cloud servers. A detailed formal security including the security verification of BAKMP-IoMT using the widely-accepted Automated Validation of Internet Security Protocols and Applications (AVISPA) tool is performed to demonstrate its resilience against the different types of possible attack. The comparison of BAKMP-IoMT with relevant existing schemes is conducted which identifies that the proposed system furnishes better security and functionality, and also needs low communication and computational costs as compared to other schemes. Finally, the simulation of BAKMP-IoMT is conducted to demonstrate its impact on the performance parameters.
Iván Froiz-Míguez, Paula Fraga‐Lamas, José Varela-Barbeito, Tiago M. Fernández‐Caramés
The latest advances in the different Industry 4.0 technologies have enabled the automation and optimization of complex tasks of production processes thanks to their ability to monitor and track the state of physical elements like machinery, environmental sensors/actuators or industrial operators. This paper focuses on the latter and presents the design and evaluation of a system for monitoring industrial workers that provides a near real-time decentralized response system aimed at reacting and tracing events that affect operator personal safety and health. Such a monitoring system is based on the information collected from sensors encapsulated in IoT wearables that are used to measure both personal and environmental data. The communications architecture relies on LoRaWAN, an LPWAN (Low-Power Wide-Area Network) technology that offers good reliability in harsh communications environments and that provides relatively long distance communications with low-energy consumption. Specifically, each wearable sends the collected information (e.g., heart rate, altitude, external temperature, gas concentration, location) from the sensors to the nearest LoRaWAN gateway, which is transmitted to a pool of nodes where information is stored in a distributed manner. Such a decentralized system allows for providing information redundancy and guarantees its availability as long as there is an operative node. In addition, the proposed system is able to store and to process the collected data through smart contracts in a blockchain, which eliminate the need for a central backend and ensure the traceability and immutability of such data in order to share them with third parties (e.g., insurance companies or medical services).
Yongjun Ren, Yan Leng, Fujian Zhu, Jin Wang · 5 authors
Wireless body area networks (WBANs) are expected to play a vital role in the field of patient-health monitoring shortly. They provide a convenient way to collect patient data, but they also bring serious problems which are mainly reflected in the safe storage of the collected data. The privacy and security of data storage in WBAN devices cannot meet the needs of WBAN users. Therefore, this paper adopts blockchain technology to store data, which improves the security of the collected data. Moreover, a storage model based on blockchain in WBAN is proposed in our solution. However, blockchain storage brings new problems, for example, that the storage space of blockchain is small, and the stored content is open to unauthorized attackers. To solve the problems above, this paper proposed a sequential aggregate signature scheme with a designated verifier (DVSSA) to ensure that the user's data can only be viewed by the designated person and to protect the privacy of the users of WBAN. In addition, the new signature scheme can also compress the size of the blockchain storage space.
Diabetes Mellitus, usually called only Diabetes, is a worldwide chronic metabolic disorder that is characterized by abnormal oscillations in blood sugar levels. Such levels should be monitored by diabetes patients, which traditionally have had to take blood samples by finger-pricking, at least between twice and four times a day. Finger-pricking has a number of drawbacks that can be tackled by Continuous Glucose Monitors (CGMs), which are able to determine blood sugar levels throughout the day and not only at specific time instants. In this paper, the design of an IoT CGM-based system is proposed, whose collected blood sugar sample values can be accessed remotely; thus being able to monitor patients, specifically dependent ones (e.g., children, elders, and pregnant women) and warn them in the case where a dangerous situation is detected. In order to create such a system, a fog computing system, based on distributed mobile smart phones, has been devised to collect data from the CGMs. Moreover, the use of a blockchain is proposed, to receive, validate, and store the collected data with the objective of avoiding untrusted sources and, thus, to provide a transparent and trustworthy data source of a population, which can vary in age, ethnicity, psychology, education, self-care, and/or geographic location, in a rapid, flexible, scalable, and low-cost way. These crowdsourced data can enable novel mHealth applications for diagnosis, patient monitoring, or even public health actions, which can help to advance in the control of the disease and raise global awareness on the increasing prevalence of diabetes.
In this paper, we propose BAN-GZKP that optimizes the best to date secure lightweight and energy efficient authentication scheme, BANZKP, designed for WBAN networks. BANZKP is vulnerable to several security attacks such as the replay attack, DDoS attacks at sink and redundancy information crack. Also BANZKP needs an end-to-end authentication which is not compliant with the human body postural mobility. Our scheme, BAN-GZKP, improves both the security and postural mobility resilience of BANZKP. In order to fix the security vulnerabilities of BANZKP, BAN-GZKP uses a novel random key allocation. Moreover, BAN-GZKP uses a hop-by-hop authentication scheme which makes it tolerant to postural mobility. We further prove the reliability of our scheme to various attacks including those to which BANZKP is vulnerable. Furthermore, via extensive simulations we prove that our scheme, BAN-GZKP, outperforms BANZKP in terms of reliability to human body postural mobility for various network parameters (end-to-end delay, number of packets exchanged in the network, number of transmissions). We compared both schemes using representative convergecast strategies with various transmission rates and human postural mobility. When our BAN-GZKP scheme is used the percentage of packets received increases by 34.06%, the end-to-end-delay reduces by 36.02% and the number of transmissions reduces by 8.75% with respect to the case when BANZKP is used. Moreover, BAN-GZKP uses only a three-phase authentication which is optimal in the class of ZKP protocols. Finally, it is important to mention that BAN-GZKP has no additional cost in terms memory, computational complexity or energy consumption compared to BANZKP.
Nesrine Khernane, Maria Potop-Butucaru, Claude Chaudet
Advances in wearable and implementable of wireless sensors have enable the development of tiny and intelligent sensors called body sensors. Monitoring the vital body parameters in real-time using wireless body area network (WBAN) has shown great potential in improving healthcare quality not only for patients but also for medical staff. However, security and privacy are still an important issue in WBANs especially in multi-hop architectures. Considering the constraints of the body sensors (namely energy, memory, computational power, etc.). In this paper, we propose and present the design and the evaluation of a secure lightweight and energy efficient authentication scheme BANZKP based on an efficient cryptographic protocol, Zero Knowledge Proof (ZKP) and a commitment scheme. ZKP is used to confirm the identify of the sensor nodes, with small computational requirement, which is favorable for body sensors given their limited resources, while the commitment scheme is used to deal with replay attacks and hence the injection attacks by committing a message and revealing the key later. BANZKP reduces the memory requirement by 56,13% compared to TinyZKP [10], the comparable alternative so far for Body Area Networks. Also, the simulation results demonstrate that our proposed scheme is 17 and 5 times more efficient in term of execution time, and uses 94.11% and 80% less energy compared to TinyZKP and W-ECDSA [16], respectively.
Nesrine Khernane, Maria Potop-Butucaru, Claude Chaudet
-Wireless body area network(WBAN) has shown great potential in improving\nhealthcare quality not only for patients but also for medical staff. However,\nsecurity and privacy are still an important issue in WBANs especially in\nmulti-hop architectures. In this paper, we propose and present the design and\nthe evaluation of a secure lightweight and energy efficient authentication\nscheme BANZKP based on an efficient cryptographic protocol, Zero Knowledge\nProof (ZKP) and a commitment scheme. ZKP is used to confirm the identify of the\nsensor nodes, with small computational requirement, which is favorable for body\nsensors given their limited resources, while the commitment scheme is used to\ndeal with replay attacks and hence the injection attacks by committing a\nmessage and revealing the key later. Our scheme reduces the memory requirement\nby 56.13 % compared to TinyZKP [13], the comparable alternative so far for Body\nArea Networks, and uses 10 % less energy.\n