Anomaly detection for mobile devices in industrial internet
Authors: 
Ge Ma, Weixi Gu, Qiyang Huang, Guowei Zhu, Kan Lv, Yujia LiAuthors Info & Claims
Ge Ma, Weixi Gu, Qiyang Huang, Guowei Zhu, Kan Lv, Yujia LiAuthors Info & ClaimsPages 75 - 77
Abstract
The concept of "Industrial Internet" was first proposed by General Electric in 2012. It aims to promote the intellectualization of the whole service system. However, with the development of the Industrial Internet, some criminals launch attacks on industrial control terminals (such as computers and mobile devices), causing the failure of industrial control terminals or wrong instructions, which resulting in factory losses. Therefore, there is an immediate need to extract valuable information from mobile network streaming, accurately detect abnormal behaviors and timely raise the alarm.
In this paper, we propose a method of anomaly detection for mobile devices in Industrial Internet based on knowledge graph and demonstrate the results by using visualization technology. First, we use the optimized data mining algorithm based on frequent item sets to analyse the data, so that our method can accurately detect different kinds of concurrent attacks. Second, this method is able to locate the IP addresses of the attacker and the victim accurately. Third, we design an anomaly alarm module, which can visualize the results in multiple dimensions and assist security administrators to understand complex network situation in real time and take corresponding measures according to the network anomaly.
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Information & Contributors
Information
Published In
September 2020
732 pages
ISBN:9781450380768
DOI:10.1145/3410530
- General Chairs:
- Monica Tentori,
- Nadir Weibel,
- Kristof Van Laerhoven,
- Program Chairs:
- Gregory Abowd,
- Flora Salim
Copyright © 2020 Owner/Author.
Permission to make digital or hard copies of part or all of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for third-party components of this work must be honored. For all other uses, contact the Owner/Author.
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Association for Computing Machinery
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Published: 12 September 2020
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UbiComp/ISWC '20: 2020 ACM International Joint Conference on Pervasive and Ubiquitous Computing and 2020 ACM International Symposium on Wearable Computers
September 12 - 17, 2020
Virtual Event, Mexico
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Overall Acceptance Rate 764 of 2,912 submissions, 26%
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