LightIoT Lightweight and secure communication for energy-efficient IoT in health informatics
Abstract : Internet of Things (IoT) is considered as a key enabler of health informatics. IoT-enabled devices are used for in-hospital and in-home patient monitoring to collect and transfer biomedical data pertaining to blood pressure, electrocardiography (ECG), blood sugar levels, body temperature, etc. Among these devices, wearables have found their presence in a wide range of healthcare applications. These devices generate data in real-time and transmit them to nearby gateways and remote servers for processing and visualization. The data transmitted by these devices are vulnerable to a range of adversarial threats, and as such, privacy and integrity need to be preserved. In this paper, we present , a lightweight and secure communication approach for data exchanged among the devices of a healthcare infrastructure. operates in three phases: initialization, pairing, and authentication. These phases ensure the reliable transmission of data by establishing secure sessions among the communicating entities (wearables, gateways and a remote server). Statistical results exhibit that our scheme is lightweight, robust, and resilient against a wide range of adversarial attacks and incurs much lower computational and communication overhead for the transmitted data in the presence of existing approaches.
? If there exists an adversary which can distinguish this game from the previous game, then we can make use of it build an algorithm [Math Processing Error]D to solve the DDH problem.
? We compare the communication cost of our scheme with existing schemes.
? We make reasonable assumptions that each identity is 128?bits, each random nonce is 256?bits, each timestamp is 64?bits, each elliptic curve cryptography (ECC) group value is 224?bits, and each hash value is 256?bits.
? Wireless sensor networks (WSNs) play more and more important role in many critical practical applications, such as battle field monitoring, healthy data acquisition, and many others.
? This paper addresses the issues of security and privacy, centralization, and communication bandwidth by using the proposed OTS scheme-based secure architecture for Energy-Efficient IoT in Edge Infrastructure.
? IoT applications have several issues related to developing, planning, and managing the system.
? It is based on a cloud system that is used for decreasing hardware consumption, but the security vulnerability issue is not resolved.
? We present the OTS scheme-based secure architecture for energy-efficient IoT in the smart city for edge infrastructure to address issues, including security, privacy, and communication and computing cost.
• The protocols proposed in previous studies are specifically designed for Internet of things (IoT), wherein the GWN stands in the middle of the user and the sensor to take charge of the communication between them.
• We notice that some recently proposed multi-factor AKE protocols are claimed to satisfy probably security. But similar problems can be also found in the models defined in these literature.
• In this article, we revisited a recently proposed AKE scheme9 for WSNs. We have shown that there is a security vulnerability in this scheme.
• We also demonstrated a concrete attack and gave a solution for avoiding this attack.
? We evaluated our proposed architecture’s performance quantitatively as well as security and privacy.
? It reduced sensor efficiency consumption and increased network performance for Green, Efficient, Information-Centric, Networking-based Green IoT Sensor.
? The cloud layer consists of large-capacity storage space, and high-performance servers equipped with processing capabilities.
? We evaluate the effective performance of the proposed architecture and algorithms with simulation such as computing cost, and communication cost.
? We evaluated the performance of the proposed architecture as the computing and communication costs for the network.
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