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1. Secure Architecture for Inter-Healthcare Electronic Health Records Exchange

   https://doi.org/10.1109/IEMTRONICS51293.2020.9216336  

   Ajayi, Oluwaseyi ; Abouali, Meryem ; Saadawi, Tarek ( September 2020 , IEEE International IOT, Electronics and Mechatronics Conference (IEMTRONICS))

   null (Ed.)

   The increase in cyberattacks against the healthcare system, notably Electronic Health Records (EHRs) breaches, has cost the healthcare providers more in recent years. This situation is predicted to increase in the coming years as the healthcare systems are proposing a consortium EHRs repository. Due to this reason, it is crucial to deploy solutions that can ensure the security of shared health records. More specifically, maintaining the integrity and consistency of shared EHRs becomes pertinent. In this on-going research, we propose a blockchain-based solution that facilitates a scalable and secured inter-healthcare EHRs exchange. These healthcare systems maintain their records on individual private blockchain networks, and the blockchains interact to exchange patient health history based on request. The proposed solution verifies the integrity and consistency of requests and replies from other healthcare systems. It presents them in a standard format that can be easily understood by different healthcare nodes. The verification steps guard against malicious activities on both stored and in transit EHRs from insider and outsider threat actors. We evaluate the security analysis against frequently encounter outsider and insider threats within a healthcare system. The preliminary result shows that the architecture can detect and prevent threat actors from uploading compromising EHRs into the network and prevents unauthorized retrieval of patient's information. 

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2. Access Delegation Framework for Private Decentralized Patient Health Records Sharing System Based on Blockchain

   https://doi.org/10.1109/IEMCON56893.2022.9946556  

   Abouali, Meryem ; Sharma, Kartikeya ; Saadawi, Tarek ( October 2022 , IEEE)

   Patient health records(PHRs) are crucial and sensitive as they contain essential information and are frequently shared among healthcare entities. This information must remain correct, up to date, private and accessible only to the authorized entities. Moreover, access must also be assured during health emergency crises such as the recent outbreak, which represents the greatest test of the flexibility and the efficiency of PHR sharing among healthcare providers, which ended up an immense interruption to the healthcare industry. Moreover, the right to privacy is the most fundamental right for a patient. Hence, the patient health records in the healthcare sector have faced issues with privacy breaches, insider outside attacks, and unauthorized access to crucial patients’ records. As a result, it pushes more patients to demand more control, security, and a smoother experience when they want to access their health records. Furthermore, the lack of interoperability among the healthcare system and providers and the added weight of cyber-attacks on an already overwhelmed system have called for an immediate solution. In this work, we developed a secured blockchain framework that safeguards patients’ full control over their health data which can be stored in their private IPFS and later shared with an authorized provider. Furthermore, the system ensures privacy and security while handling patient data, which can only be shared with the patients. The proposed Security and privacy analysis show promising results in providing time savings, enhanced confidentiality, and less disruption in patient-provider interactions. 

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3. PUFchain 3.0: Hardware-Assisted Distributed Ledger for Robust Authentication in Healthcare Cyber–Physical Systems

   https://doi.org/10.3390/s24030938  

   Bathalapalli, Venkata K. ; Mohanty, Saraju P. ; Kougianos, Elias ; Iyer, Vasanth ; Rout, Bibhudutta ( February 2024 , Sensors)

   This article presents a novel hardware-assisted distributed ledger-based solution for simultaneous device and data security in smart healthcare. This article presents a novel architecture that integrates PUF, blockchain, and Tangle for Security-by-Design (SbD) of healthcare cyber–physical systems (H-CPSs). Healthcare systems around the world have undergone massive technological transformation and have seen growing adoption with the advancement of Internet-of-Medical Things (IoMT). The technological transformation of healthcare systems to telemedicine, e-health, connected health, and remote health is being made possible with the sophisticated integration of IoMT with machine learning, big data, artificial intelligence (AI), and other technologies. As healthcare systems are becoming more accessible and advanced, security and privacy have become pivotal for the smooth integration and functioning of various systems in H-CPSs. In this work, we present a novel approach that integrates PUF with IOTA Tangle and blockchain and works by storing the PUF keys of a patient’s Body Area Network (BAN) inside blockchain to access, store, and share globally. Each patient has a network of smart wearables and a gateway to obtain the physiological sensor data securely. To facilitate communication among various stakeholders in healthcare systems, IOTA Tangle’s Masked Authentication Messaging (MAM) communication protocol has been used, which securely enables patients to communicate, share, and store data on Tangle. The MAM channel works in the restricted mode in the proposed architecture, which can be accessed using the patient’s gateway PUF key. Furthermore, the successful verification of PUF enables patients to securely send and share physiological sensor data from various wearable and implantable medical devices embedded with PUF. Finally, healthcare system entities like physicians, hospital admin networks, and remote monitoring systems can securely establish communication with patients using MAM and retrieve the patient’s BAN PUF keys from the blockchain securely. Our experimental analysis shows that the proposed approach successfully integrates three security primitives, PUF, blockchain, and Tangle, providing decentralized access control and security in H-CPS with minimal energy requirements, data storage, and response time. 

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4. A Survey of DDOS Attack Detection Techniques for IoT Systems Using BlockChain Technology

   https://doi.org/10.3390/electronics11233892  

   Khan, Zulfiqar Ali ; Namin, Akbar Siami ( December 2022 , Electronics)

   The Internet of Things (IoT) is a network of sensors that helps collect data 24/7 without human intervention. However, the network may suffer from problems such as the low battery, heterogeneity, and connectivity issues due to the lack of standards. Even though these problems can cause several performance hiccups, security issues need immediate attention because hackers access vital personal and financial information and then misuse it. These security issues can allow hackers to hijack IoT devices and then use them to establish a Botnet to launch a Distributed Denial of Service (DDoS) attack. Blockchain technology can provide security to IoT devices by providing secure authentication using public keys. Similarly, Smart Contracts (SCs) can improve the performance of the IoT–blockchain network through automation. However, surveyed work shows that the blockchain and SCs do not provide foolproof security; sometimes, attackers defeat these security mechanisms and initiate DDoS attacks. Thus, developers and security software engineers must be aware of different techniques to detect DDoS attacks. In this survey paper, we highlight different techniques to detect DDoS attacks. The novelty of our work is to classify the DDoS detection techniques according to blockchain technology. As a result, researchers can enhance their systems by using blockchain-based support for detecting threats. In addition, we provide general information about the studied systems and their workings. However, we cannot neglect the recent surveys. To that end, we compare the state-of-the-art DDoS surveys based on their data collection techniques and the discussed DDoS attacks on the IoT subsystems. The study of different IoT subsystems tells us that DDoS attacks also impact other computing systems, such as SCs, networking devices, and power grids. Hence, our work briefly describes DDoS attacks and their impacts on the above subsystems and IoT. For instance, due to DDoS attacks, the targeted computing systems suffer delays which cause tremendous financial and utility losses to the subscribers. Hence, we discuss the impacts of DDoS attacks in the context of associated systems. Finally, we discuss Machine-Learning algorithms, performance metrics, and the underlying technology of IoT systems so that the readers can grasp the detection techniques and the attack vectors. Moreover, associated systems such as Software-Defined Networking (SDN) and Field-Programmable Gate Arrays (FPGA) are a source of good security enhancement for IoT Networks. Thus, we include a detailed discussion of future development encompassing all major IoT subsystems. 

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5. Detecting Insider attacks in Blockchain Networks

   Ajayi, O. ; Saadawi, T. ( November 2021 , IEEE 2021 International Symposium on Networks, Computers and Communications: Trust, Security, and Privacy (ISNCC- 2021 TSP)

   null (Ed.)

   Blockchain technology has recently gained high popularity in data security, primarily to mitigate against data breach and manipulation. Since its inception in 2008, it has been applied in different areas mainly to maintain data integrity and consistency. Blockchain has been tailored to secure data due to its data immutability and distributive technology. Despite the high success rate in data security, the inability to identify compromised insider nodes is one of the significant problems encountered in blockchain architectures. A Blockchain network is made up of nodes that initiate, verify and validate transactions. If compromised, these nodes can manipulate submitted transactions, inject fake transactions, or retrieve unauthorized information that might eventually compromise the stored data's integrity and consistency. This paper proposes a novel method of detecting these compromised blockchain nodes using a server-side authentication process and thwart their activities before getting updated in the blockchain ledger. In evaluating the proposed system, we perform four common insider attacks, which fall under the following three categories: (1)Those attacks targeting the Blockchain to bring it down. (2) the attacks that attempt to inject fake data into the database. (3) The attacks that attempt to hijack or retrieve unauthorized data. We described how we implement the attacks and how our architecture detects them before they impact the network. Finally, we displayed the attack detection time for each attack and compared our approach with other existing methods. 

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