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The Internet of Things (IoT) uses Wireless Sensor Networks (WSNs) to gather data from particular locations. Environmental monitoring, Army, agronomic, disaster risk management, and tracking systems are just a few of the industries that heavily rely on the WSN of the IoT. Wireless Sensor Network (WSN) is the massive number of sensor nodes dispatched to track a large area, where the control strategies are frequently challenging. In order to prepare these networks for the market, sufficient protection requirements for medium- and large-scale WSNs are a challenging and important target to achieve. To ensure its security, node identity authentication is a significant one. So, we proposed a public blockchain-based multi-wireless sensor network verification method through a Light-Weight Authentication Algorithm (LWAA) for IoT which is used to enhance the secure authentication and performance in WSN in a multi-Wireless Sensor Network model. Here, the nodes are separated between access points, group head nodes, and regular nodes indicated by their power variations that are created into a hierarchical model. The common authentication of nodes in a number of communication scenarios is identified through blockchain. Our cryptography technique enhances the network life span and decreases the computation time efficiently. The evaluated performance in total power consumption, throughput, latency, packet delivery ratio, time computation, and also proved better results in comparison with the existing authentication methods such as ECDSA, EIBAS, ECBR, and AES. [ABSTRACT FROM AUTHOR]

Zero-trust security architecture reconstructs the trust foundation of access control based on authentication and authorization by continuously authenticating the terminal during the authentication process and not relying solely on geographic location/user attributes as the sole basis for the trust assessment. However, due to the fine-grained verification of identity under the zero-trust security architecture, there is a need for multiple authentication and authorization processes. If a single policy engine has unknown vulnerabilities and unknown backdoors to be maliciously attacked, or DDOS attacks initiated by known vulnerabilities cannot be prevented, the policy engine based on this control center architecture cannot meet the requirements of system security and reliability. Therefore, it is proposed to apply the SPA single-package authorization and endogenous security architecture to the zero-trust authentication system, which can realize the reliability, dynamism and diversity of system defense. Through the experimental antiattack analysis and antiattack test, the test from the proposed scheme found that when the system introduces the endogenous security architecture, the security of the system can be improved due to the complexity of the attack process and the increase in the cost of the attack. The test through both the security and system overhead found that the scheme can effectively improve the security of the system while ensuring the quality of network services, compared to the traditional scheme. It was found that the scheme can effectively improve the security of the system while ensuring the quality of network services and has better adaptability than the traditional zero-trust authentication scheme. [ABSTRACT FROM AUTHOR]

The access security of wireless devices is a serious challenge in present wireless network security. Radio frequency (RF) fingerprint recognition technology as an important non-password authentication technology attracts more and more attention, because of its full use of radio frequency characteristics that cannot be imitated to achieve certification. In this paper, a RF fingerprint identification method based on dimensional reduction and machine learning is proposed as a component of intrusion detection for resolving authentication security issues. We compare three kinds of dimensional reduction methods, which are the traditional PCA, RPCA and KPCA. And we take random forests, support vector machine, artificial neural network and grey correlation analysis into consideration to make decisions on the dimensional reduction data. Finally, we obtain the recognition system with the best performance. Using a combination of RPCA and random forests, we achieve 90% classification accuracy is achieved at SNR ≥ 10 dB when reduced dimension is 76. The proposed method improves wireless device authentication and improves security protection due to the introduction of RF fingerprinting. [ABSTRACT FROM AUTHOR]

A hybrid ad hoc network is a structure-based network that is extended using multihop communications. Indeed, in this kind of network, the existence of a communication link between the mobile station and the base station is not required: A mobile station that has no direct connection with a base station can use other mobile stations as relays. Compared with conventional (single-hop) structure-based networks, this new generation can lead to a better use of the available spectrum and to a reduction of infrastructure costs. However, these benefits would vanish if the mobile nodes did not properly cooperate and forward packets for other nodes. In this paper, we propose a charging and rewarding scheme to encourage the most fundamental operation, namely packet forwarding. We use "MAC layering" to reduce the space overhead in the packets and a stream cipher encryption mechanism to provide "implicit authentication" of the nodes involved in the communication. We analyze the robustness of our protocols against rational and malicious attacks. We show that—using our solution—collaboration is rational for selfish nodes. We also show that our protocols thwart rational attacks and detect malicious attacks. [ABSTRACT FROM AUTHOR]

Conventional biometric authentication methods have a serious problem – it is easy to steal the biological information of another person, such as fingerprints, iris patterns, and facial forms. Accordingly, it is essential to protect authentication systems from an attack like impersonation with an artificial finger. To solve this problem, in this paper, we would like to propose a multifactor biometric authentication method based on cryptosystem keys containing biometric signatures. This paper has two new aspects: one is to propose a method for embedding two kinds of data – personal biological information and a confidential item corresponding to a conventional secret key – into a cryptosystem key to detect any impersonation even if the biological information is stolen, and the other is to demonstrate the safety of the method, a factor which has never been referenced. From a privacy protection point of view, we believe that the multifactor biometric authentication method is of great significance. Moreover, it can economically establish certification authorities having the biological information. Meanwhile, in order to uniquely embed the biological information into the cryptosystem key, an algorithm is needed to uniquely select a representative template as described in this paper. In this paper, we propose only the concept of this algorithm and hope that concrete methodologies will be studied in the future. [ABSTRACT FROM AUTHOR]

The trend of digitalization has produced rapidly increasing data interaction and authentication demand in today's internet of things ecosystem. To face the challenge, we demonstrated a micro-scale label by direct laser writing to perform as a passport between the physical and digital worlds. On this label, the user information is encrypted into three-dimensional geometric structures by a tensor network and then authenticated through the decryption system based on computer vision. A two-step printing methodology is applied to code the randomly distributed fluorescence from doped quantum dots, which achieved physical unclonable functions (PUFs) of the passport. The 10 5 bits/mm 2 data storage density enables abundant encrypted information from physical worlds, for example, the biometric data of human users. This passport guarantees the strong correlation between the user's privacy data and the PUF-assisted codes, successfully overcoming the illegal transfer of authentication information. Due to its ultra-high security level and convenience, the printed passport has enormous potential in future digital twin authentication anytime anywhere, including personal identity, valuable certificates, and car networking.