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Wireless sensor networks (WSNs) have found use in many areas ranging from military to healthcare among other areas of interest. Multiuser broadcast authentication is an important security feature in WSNs that can enable users to securely broadcast their data in a WSN. By its very nature, a WSN is resource constrained in nature making security implementation on such a network a major challenge of concern. In this paper, we present an efficient pairing-free broadcast authentication (BA) scheme with message recovery based on a lightweight digital signature protocol for use on WSNs. Our proposed BA scheme is able to accelerate message authentication broadcasted over a WSN while providing user anonymity. Comparing our proposed BA scheme with previous existing and related BA schemes, we have demonstrated that a reduction in computation, communication, and energy cost is possible making our scheme efficient for use on WSNs.

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Artificial intelligence (AI) and cyber security are two emerging technologies in the modern world. Machine learning (ML) models serve as the cornerstone of AI. Access control, user authentication, user behaviour analysis, spam, malware, and botnet identification are all areas where AI is crucial. The security issues of today, however, are many. Users now face substantial security threats due to the increasing use of apps like WhatsApp and Viber, social media, mobile devices, cloud computing, and social media. We will explain how artificial intelligence (AI) can be used to handle cyber security concerns and cyber threats in this essay. Since the past decade, the field of cyber security has expanded significantly. Thus, both the number of applications and the number of risks are continuously increasing. Artificial intelligence's applications in cyber security are covered in this essay. With a primary focus on studies between 2018 and 2022, the study technique involved online desk research.