Intelligent Security IT System for Detecting Intruders Based on Received Signal Strength Indicators
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...
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| Format: | Article |
| Language: | English |
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MDPI AG
2016-10-01
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| Series: | Entropy |
| Subjects: | |
| Online Access: | http://www.mdpi.com/1099-4300/18/10/366 |
| _version_ | 1811186038535618560 |
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| author | Yunsick Sung |
| author_facet | Yunsick Sung |
| author_sort | Yunsick Sung |
| collection | DOAJ |
| description | 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. |
| first_indexed | 2024-04-11T13:40:28Z |
| format | Article |
| id | doaj.art-317426d3788a4c3f8a2cdb05c0f85c56 |
| institution | Directory Open Access Journal |
| issn | 1099-4300 |
| language | English |
| last_indexed | 2024-04-11T13:40:28Z |
| publishDate | 2016-10-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Entropy |
| spelling | doaj.art-317426d3788a4c3f8a2cdb05c0f85c562022-12-22T04:21:16ZengMDPI AGEntropy1099-43002016-10-01181036610.3390/e18100366e18100366Intelligent Security IT System for Detecting Intruders Based on Received Signal Strength IndicatorsYunsick Sung0Faculty of Computer Engineering, Keimyung University, Daegu 42601, KoreaGiven 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.http://www.mdpi.com/1099-4300/18/10/366securitybeaconBayesian probabilitylocalizationRSSI |
| spellingShingle | Yunsick Sung Intelligent Security IT System for Detecting Intruders Based on Received Signal Strength Indicators Entropy security beacon Bayesian probability localization RSSI |
| title | Intelligent Security IT System for Detecting Intruders Based on Received Signal Strength Indicators |
| title_full | Intelligent Security IT System for Detecting Intruders Based on Received Signal Strength Indicators |
| title_fullStr | Intelligent Security IT System for Detecting Intruders Based on Received Signal Strength Indicators |
| title_full_unstemmed | Intelligent Security IT System for Detecting Intruders Based on Received Signal Strength Indicators |
| title_short | Intelligent Security IT System for Detecting Intruders Based on Received Signal Strength Indicators |
| title_sort | intelligent security it system for detecting intruders based on received signal strength indicators |
| topic | security beacon Bayesian probability localization RSSI |
| url | http://www.mdpi.com/1099-4300/18/10/366 |
| work_keys_str_mv | AT yunsicksung intelligentsecurityitsystemfordetectingintrudersbasedonreceivedsignalstrengthindicators |