The count s intruders

Given that entropy-based IT technology has been applied in homes, office buildings and elsewhere for IT security systems, diverse kinds of intelligent services are currently provided. In particular, IT security systems have become more robust and varied. However, access control systems still depend on tags held by building entrants. Since tags can be obtained by intruders, an approach to counter the disadvantages of tags is required. For example, it is possible to track the movement of tags in intelligent buildings in order to detect intruders. Therefore, each tag owner can be judged by analyzing the movements of their tags. This paper proposes a security approach based on the received signal strength indicators (RSSIs) of beacon-based tags to detect intruders. The normal RSSI patterns of moving entrants are obtained and analyzed. Intruders can be detected when abnormal RSSIs are measured in comparison to normal RSSI patterns. In the experiments, one normal and one abnormal scenario are defined for collecting the RSSIs of a Bluetooth-based beacon in order to validate the proposed method. When the RSSIs of both scenarios are compared to pre-collected RSSIs, the RSSIs of the abnormal scenario are about 61% more different compared to the RSSIs of the normal scenario. Therefore, intruders in buildings can be detected by considering RSSI differences.

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Lecture 6 User Authentication (cont)

Cryptography and Network Security Chapter 20 Intruders

Lesson 13-Intrusion Detection. Overview Define the types of Intrusion Detection Systems (IDS). Set up an IDS. Manage an IDS. Understand intrusion prevention.

Intrusion detection Anomaly detection models: compare a user’s normal behavior statistically to parameters of the current session, in order to find significant.

Henric Johnson1 Intruders and Viruses Henric Johnson Blekinge Institute of Technology, Sweden

Information System Security, Intruders and password protection Presented by: Yanal Kilani Presented to: Dr. Lo’ai Tawalbeh Summer 2006.