Sökning: id:"swepub:oai:DiVA.org:uu-500252" >
Improve the Securit...
Abstract
Ämnesord
Stäng
- With the rapid development of technology, more malicious traffic data brought negative influences on industrial areas. Modbus protocol plays a momentous role in the communications of Industrial Control Systems (ICS), but it’s vulnerable to Denial of Service attacks(DoS). Traditional detection methods cannot perform well on fine-grained detection tasks which could contribute to locating targets of attacks and preventing the destruction. Considering the temporal locality and high dimension of malicious traffic, this paper proposed a Neural Network architecture named MODLSTM, which consists of three parts: input preprocessing, feature recoding, and traffic classification. By virtue of the design, MODLSTM can form continuous stream semantics based on fragmented packets, discover potential low-dimensional features and finally classify traffic at a fine-grained level. To test the model’s performances, some experiments were conducted on industrial and public datasets, and the models achieved excellent performances in comparison with previous work(accuracy increased by 0.71% and 0.07% respectively). The results show that the proposed method has more satisfactory abilities to detect DoS attacks related to Modbus, compared with other works. It could help to build a reliable firewall to address a variety of malicious traffic in diverse situations, especially in industrial environments. © 2023, The Author(s), under exclusive licence to Springer Science+Business Media, LLC, part of Springer Nature.
Ämnesord
- NATURVETENSKAP -- Data- och informationsvetenskap -- Datavetenskap (hsv//swe)
- NATURAL SCIENCES -- Computer and Information Sciences -- Computer Sciences (hsv//eng)
- TEKNIK OCH TEKNOLOGIER -- Elektroteknik och elektronik -- Datorsystem (hsv//swe)
- ENGINEERING AND TECHNOLOGY -- Electrical Engineering, Electronic Engineering, Information Engineering -- Computer Systems (hsv//eng)
Nyckelord
- DDoS
- Deep learning
- DoS
- Fine-grained classification
- ICS
- Modbus
- Classification (of information)
- Integrated circuits
- Intelligent control
- Network architecture
- Network security
- Semantics
- Classification methods
- Denialof- service attacks
- Fine grained
- Industrial control systems
- Malicious traffic
- Performance
- Denial-of-service attack
Publikations- och innehållstyp
- ref (ämneskategori)
- art (ämneskategori)
Hitta via bibliotek
Till lärosätets databas