Anomaly-based intrusion detection for home area networks in smart grids / Yasmin Mahmoud Amin Mahmoud ; Supervised Amr T. Abdelhamid , Mohamed Ashour
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TextLanguage: English Publication details: Cairo : Yasmin Mahmoud Amin Mahmoud , 2016Description: 129 Leaves ; 30cmSubject(s): Online resources: Dissertation note: Thesis (M.Sc.) - German University - Faculty of Postgraduate Studies and Scientific Research - Department of Networking Summary: The injection of false appliance power consumption data within home area networks (HANs) is one of the most critical cyber security threats facing the introduction of the advanced metering infrastructure (AMI) into the smart grid. Energy theft can be achieved by using false data injection to reduce energy bills. This problem is more critical in wireless HANs, where the wireless media access control (MAC) layer could be compromised to facilitate false data injection. This thesis focuses on the detection of these false data injection attacks in 802.15.4 HANs, as the IEEE 802.15.4 standard is the dominant enabling technology for HANs
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قاعة الثقاقات الاجنبية - الدور الثالث | المكتبة المركزبة الجديدة - جامعة القاهرة | Cai01.34.M.Sc.2016.Ya.A (Browse shelf(Opens below)) | Not for loan | 01010110072439000 |
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Thesis (M.Sc.) - German University - Faculty of Postgraduate Studies and Scientific Research - Department of Networking
The injection of false appliance power consumption data within home area networks (HANs) is one of the most critical cyber security threats facing the introduction of the advanced metering infrastructure (AMI) into the smart grid. Energy theft can be achieved by using false data injection to reduce energy bills. This problem is more critical in wireless HANs, where the wireless media access control (MAC) layer could be compromised to facilitate false data injection. This thesis focuses on the detection of these false data injection attacks in 802.15.4 HANs, as the IEEE 802.15.4 standard is the dominant enabling technology for HANs
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