Securing of Unmanned Aerial Systems (UAS) against security threats using human immune system

• Published in: Reliability engineering & system safety Vol. 193; p. 106675
• Main Author: Fotohi, Reza
• Format: Journal Article
• Language: English
• Published: Barking Elsevier Ltd 01.01.2020; Elsevier BV
• Subjects: Antibodies; Antigens; Design; HIS; IDS; Immune system; Intrusion detection systems; Mapping; Performance measurement; Reliability engineering; Routing security; Security threats; SUAS-HIS; Unmanned Aerial Systems; Unmanned aerial vehicles; Security threats; Unmanned Aerial Systems; IDS; HIS; Routing security; SUAS-HIS
• ISSN: 0951-8320; 1879-0836
• DOI: 10.1016/j.ress.2019.106675

•An intrusion detection system has been proposed in the proposed design to protect against the security problems using the human immune system (HIS).•In this method, a safe solution is provided to secure the Unmanned Aerial Systems, which is effective on two ways: First, it has high detection accuracy, packet delivery rate, low false positive and negative rates and second, it detects and isolates attacks quickly.•A new SUAS-HIS model is developed and solved by HIS.•Results demonstrate the HIS strategy outperforms all the previous strategies.•We have analyzed the performance of our SUAS-HIS scheme using NS-3, and showed that it exhibits a high-level of security with a high detection rate (more than 92.93%), high PDR (more than 64.41%), low FPR (less than 6.89%), and low FNR (less than 3.95%), as compared to current approaches. UASs form a large part of the fighting ability of the advanced military forces. In particular, these systems that carry confidential information are subject to security attacks. Accordingly, an Intrusion Detection System (IDS) has been proposed in the proposed design to protect against the security problems using the human immune system (HIS). The IDSs are used to detect and respond to attempts to compromise the target system. Since the UASs operate in the real world, the testing and validation of these systems with a variety of sensors is confronted with problems. This design is inspired by HIS. In the mapping, insecure signals are equivalent to an antigen that are detected by antibody- based training patterns and removed from the operation cycle. Among the main uses of the proposed design are the quick detection of intrusive signals and quarantining their activity. Moreover, SUAS-HIS method is evaluated here via extensive simulations carried out in NS-3 environment. The simulation results indicate that the UAS network performance metrics are improved in terms of false positive rate, false negative rate, detection rate, and packet delivery rate.