Sahand Abdinematabad; Roghaye Ebadikhah; Mehdi Pourabdollah; Reza Rasinojehdehi
Abstract
This study embarks on a data-driven exploration to understand the perceptions of overseas residents regarding the development of tourism in Qingdao, a significant coastal city in China. Despite the pivotal role of tourism in regional economic growth, the views of foreign residents, who can act as cultural ...
Read More
This study embarks on a data-driven exploration to understand the perceptions of overseas residents regarding the development of tourism in Qingdao, a significant coastal city in China. Despite the pivotal role of tourism in regional economic growth, the views of foreign residents, who can act as cultural ambassadors, have been relatively underexplored in existing literature. This research fills this gap by conducting a comprehensive questionnaire survey among Qingdao's overseas community. The survey aims to gather insights into the economic, socio-cultural, and environmental impacts of tourism as perceived by this unique demographic. The study utilizes advanced computational methods to analyze the collected data, offering a nuanced understanding of how variables such as age, income, and personal connections to tourism influence these perceptions. The findings reveal diverse viewpoints, shaped by various demographic factors, highlighting the complexity of tourism impact assessment from the perspective of foreign residents. This research contributes to the broader discourse on sustainable tourism development, providing valuable inputs for policymakers and stakeholders in Qingdao to tailor tourism strategies that are more inclusive and representative of all residents' views. The results have broader implications for understanding the role of foreign residents in shaping the tourism landscape in global destinations.
Reza Rasinojehdehi; Seyyed Esmaeil Najafi
Abstract
Network security is paramount in safeguarding the integrity of computer networks and the data they host. The primary objective of network security is to protect data from cyber-attacks and ensure the overall reliability of the network. A robust network security strategy deploys various solutions to shield ...
Read More
Network security is paramount in safeguarding the integrity of computer networks and the data they host. The primary objective of network security is to protect data from cyber-attacks and ensure the overall reliability of the network. A robust network security strategy deploys various solutions to shield data within networks, safeguarding both users and organizations from potential threats. This paper introduces a novel approach to evaluating computer network security using Data Envelopment Analysis (DEA), a mathematical method designed to measure the performance of Decision-Making Units (DMUs) employing identical inputs to yield identical outputs. We present a practical application of DEA to assess the security of 10 distinct networks, treating them as DMUs. The resulting performance measurements allow us to classify computer network security into four levels: "terribly insecure," "insecure," "safe," and "very safe. To optimize the discriminating power of DEA, we employ Principal Component Analysis (PCA) to reduce the number of inputs and outputs. It not only enhances the precision of our evaluation but also ensures that the number of DMUs remains well-suited to the analysis. As a rule of thumb, the number of DMUs should be at least three times larger than the sum of the numbers of inputs and outputs to maintain DEA's discriminating power. Through the combined application of DEA and PCA, this research contributes a comprehensive and efficient method for evaluating and classifying computer network security, providing valuable insights for enhancing overall network resilience against cyber threats.
