Abstract: The problem of imbalanced data classification learning has received much attention. Conventional classification algorithms are susceptible to data skew to favor majority samples and ignore minority samples. Majority weighted minority oversampling technique (MWMOTE) is an effective approach to solve this problem, however, it may suffer fro...
Abstract: The Internet of Things (IoT) has grown rapidly due to artificial intelligence driven edge computing. While enabling many new functions, edge computing devices expand the vulnerability surface and have become the target of malware attacks. Moreover, attackers have used advanced techniques to evade defenses by transforming their malware int...
Abstract: The widespread use of the Internet of Things (IoTs) and the rapid development of artificial intelligence technologies have enabled applications to cross commercial and industrial band settings. Within such systems, all participants related to commercial and industrial systems must communicate and generate data. However, due to the small s...
Abstract—Different from “read” based Web1 and “read-write” based Web2, “read-write-own” based Web3 is proposed as a typical user-centric Internet to open the new generation of the World Wide Web. Web3 is the internet religious fundamentalism for data rights owned by users based on identity, data, network, a...
Abstract—Parallel Web3 metaverses play a vital role in preventing monopolistic markets and fostering fair and profound user experiences. Meanwhile, ensuring interconnections and interoperability among these metaverses is crucial, allowing users to seamlessly transition between different Web3 environments while maintaining their digital identi...
Detecting #Phishing Sites Using #ChatGPT
The rise of large language models ( #LLMs ) has had a significant impact on various domains, including natural language processing and artificial intelligence.
While #LLMs such as #ChatGPT have been extensively researched for tasks such as code generation an...
