Affiliation:
1. Faculty of Information and Communication Technology (FICT), Universiti Tunku Abdul Rahman, Kampar 31900, Malaysia
2. Higher Colleges of Technology, Fujairah P.O. Box 4114, United Arab Emirates
Abstract
Industry Revolution 4.0 connects the Internet of Things (IoT) resource-constrained devices to Smart Factory solutions and delivers insights. As a result, a complex and dynamic network with a vulnerability inherited from the Internet becomes an attractive target for hackers to attack critical infrastructures. Therefore, this paper selects three potential attacks with the evaluation of the protections, namely (1) distributed denial of service (DDoS), (2) address resolution protocol (ARP) spoofing, and (3) Internet protocol (IP) fragmentation attacks. In the DDoS protection, the F1-score, accuracy, precision, and recall of the four-feature random forest with principal component analysis (RFPCA) model are 95.65%, 97%, 97.06%, and 94.29%, respectively. In the ARP spoofing, a batch processing method adopts the entropy calculated in the 20 s window with sensitivity to network abnormalities detection of various ARP spoofing scenarios involving victims’ traffic. The detected attacker’s MAC address is inserted in the block list to filter malicious traffic. The proposed protection in the IP fragmentation attack is implementing one-time code (OTC) and timestamp fields in the packet header. The simulation shows that the method detected 160 fake fragments from attackers among 2040 fragments.
Subject
Information Systems and Management,Computer Networks and Communications,Modeling and Simulation,Control and Systems Engineering,Software
Reference37 articles.
1. Industry 4.0: The future of productivity and growth in manufacturing industries;Russmann;Boston Consult. Group,2015
2. Smart factory of industry 4.0: Key technologies, application case, and challenges;Chen;IEEE Access,2017
3. Smart manufacturing based on cyber-physical systems and beyond;Yao;J. Intell. Manuf.,2019
4. Nagy, J., Olah, J., Erdei, E., Mate, D., and Popp, J. (2018). The role and impact of industry 4.0 and the internet of things on the business strategy of the value chain-the case of hungary. Sustainability, 10.
5. A survey on security threats and defensive techniques of machine learning: A data driven view;Liu;IEEE Access,2018
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