Intrusion Detection System Analysis on Embedded Devices to Alert Kerberos Server Intrusion
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Abstract
Research into Intrusion detection on embedded devices for the purpose of alerting to Kerberos server intrusion. The research examines network intrusions in which intruders assault the system. To evaluate the performance of Kerberos against three distinct denial-of-service attacks—SYN Flood, UDP Flood, and ICMP Flood—we ran benchmarks against Kerberos server assaults. A Snort invasion detection capability is deployed on both the embedded Raspberry Pi and the server. Performance verification was accomplished through the use of a shell script approach that required 120 seconds for each experiment, recorded the experiment every 5 seconds, and examined the processor resource numbers. Primary memory and network connectivity However, placing the server on the network map disables firewalls and other types of protection. The network intrusion detection system runs on the Linux operating system and is based on the Snort application. 1. The consequence of an attack via the Kerberos server's internal communication consumes on average 1.08 times the resources of external communication. 2. A TCP Flood attack's consequences UDP Flood and ICMP Flood are 1.02 and 1.24 times more powerful, respectively. As can be observed, the detection of TCP Flood and UDP Flood assaults is similar, although ICMP Flood consumes the fewest resources. Intrusion detection in embedded devices using wired connections consumes an average of 2.28 times as many resources as wireless intrusion detection. The average overall resource use is 1.16 times that of the external environment. It has 1.28 and 1.15 times the CPU and RAM resources of a standalone Kerberos server for detecting Raspberry Pi incursions, respectively. Intrusion detection on Raspberry Pi devices significantly lowers the cost of resources consumed by Kerberos servers equipped with intrusion detection systems. It does not interfere with the Kerberos server's functioning.
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