論文

査読有り 筆頭著者
2020年6月

Impact of internet-wide scanning on IoT data communication in wireless LANs

2020 IEEE International Conference on Communications Workshops, ICC Workshops 2020 - Proceedings
  • Hiroaki Hashida
  • ,
  • Yuichi Kawamoto
  • ,
  • Nei Kato

記述言語
掲載種別
研究論文(国際会議プロシーディングス)
DOI
10.1109/ICCWorkshops49005.2020.9145257

© 2020 IEEE. In recent years, Internet-wide scanning has attracted interest as a countermeasure against Internet-of-Things (IoT) security problems that can detect security holes. Despite the usefulness of Internet-wide scanning, it suffers from the problem of network congestion that occurs when numerous port scanning packets are used. Network congestion becomes increasingly severe in networks with limited bandwidth such as wireless networks. Therefore, port-scanning packets must be sent at long intervals when scanning such networks. In contrast, an inappropriate reduction of scanning speed increases the time required to complete scanning, making it difficult to scan IoT devices comprehensively before cyber-attackers identify vulnerabilities. However, setting appropriate scanning speeds is a challenge owing to the lack of a method for quantifying the impact of scanning traffic on the target network. In this study, we construct a novel analytical model to quantify the impact of scanning traffic on IoT data throughput in a target wireless LAN. The validity of our proposed model is evaluated through Monte Carlo simulations whose results demonstrate that our model is effective in approximating the impact of scanning traffic on IoT data traffic. This study contributes to overcoming a key shortcoming of Internet-wide scanning as a critical factor in efficient probing.

リンク情報
DOI
https://doi.org/10.1109/ICCWorkshops49005.2020.9145257
Scopus
https://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=85090268436&origin=inward
Scopus Citedby
https://www.scopus.com/inward/citedby.uri?partnerID=HzOxMe3b&scp=85090268436&origin=inward

エクスポート
BibTeX RIS