We designed a fuzzy system to detect and predict the DDoS attacks in IEEE 802.15.4 MAC layer. The attack detection is done by the base station on the input values of detection metrics received by it from the respective node. The base station uses the value of BPR and SNR as input to the fuzzy systems to get the Level Of Attack (LOA) as the output of the system. The attack prediction is done in cluster-based wireless network. Prediction of DDoS attacks is done based on energy consumption rate. The nodes with abnormal energy consumptions are identified as malicious attacker. Furthermore, the fuzzy system is designed to distinguish the types of DDoS attack according to the energy consumption rate of the malicious nodes. We tested the effectiveness of the proposed system with the results obtained from the simulation experiments. The performance was analyzed based Detection of attacks, energy consumption rate of DDoS attacks, attack detection rate, prediction of attacks, and speed of attack detection. The results were compared with the existing approaches. From the results we found a significant improvement in the detection and prediction of DDoS attacks IEEE 802.15.4 MAC layer.
Die Inhaltsangabe kann sich auf eine andere Ausgabe dieses Titels beziehen.
Dr. C. Balarengadurai currently working as professor in Computer Science & Engineering at MLR Institute of Technology and Management, Hyderabad. His area of interest includes Wireless Networks, Computer Networks, and Artificial Intelligence. He published 25 papers in various conferences and Journals like IEEE, Springer, ACM, Elsevier and etc.
„Über diesen Titel“ kann sich auf eine andere Ausgabe dieses Titels beziehen.
Anbieter: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, Deutschland
Taschenbuch. Zustand: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -We designed a fuzzy system to detect and predict the DDoS attacks in IEEE 802.15.4 MAC layer. The attack detection is done by the base station on the input values of detection metrics received by it from the respective node. The base station uses the value of BPR and SNR as input to the fuzzy systems to get the Level Of Attack (LOA) as the output of the system. The attack prediction is done in cluster-based wireless network. Prediction of DDoS attacks is done based on energy consumption rate. The nodes with abnormal energy consumptions are identified as malicious attacker. Furthermore, the fuzzy system is designed to distinguish the types of DDoS attack according to the energy consumption rate of the malicious nodes. We tested the effectiveness of the proposed system with the results obtained from the simulation experiments. The performance was analyzed based Detection of attacks, energy consumption rate of DDoS attacks, attack detection rate, prediction of attacks, and speed of attack detection. The results were compared with the existing approaches. From the results we found a significant improvement in the detection and prediction of DDoS attacks IEEE 802.15.4 MAC layer. 164 pp. Englisch. Bestandsnummer des Verkäufers 9783659710735
Anzahl: 2 verfügbar
Anbieter: moluna, Greven, Deutschland
Zustand: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Autor/Autorin: Balarengadurai ChinnaiahDr. C. Balarengadurai currently working as professor in Computer Science & Engineering at MLR Institute of Technology and Management, Hyderabad. His area of interest includes Wireless Networks, Computer Networ. Bestandsnummer des Verkäufers 159144060
Anzahl: Mehr als 20 verfügbar
Anbieter: preigu, Osnabrück, Deutschland
Taschenbuch. Zustand: Neu. Detection and Prediction of DDoS attacks in IEEE 802.15.4 MAC Layer | Chinnaiah Balarengadurai (u. a.) | Taschenbuch | 164 S. | Englisch | 2015 | LAP LAMBERT Academic Publishing | EAN 9783659710735 | Verantwortliche Person für die EU: BoD - Books on Demand, In de Tarpen 42, 22848 Norderstedt, info[at]bod[dot]de | Anbieter: preigu. Bestandsnummer des Verkäufers 104609685
Anzahl: 5 verfügbar
Anbieter: buchversandmimpf2000, Emtmannsberg, BAYE, Deutschland
Taschenbuch. Zustand: Neu. This item is printed on demand - Print on Demand Titel. Neuware -We designed a fuzzy system to detect and predict the DDoS attacks in IEEE 802.15.4 MAC layer. The attack detection is done by the base station on the input values of detection metrics received by it from the respective node. The base station uses the value of BPR and SNR as input to the fuzzy systems to get the Level Of Attack (LOA) as the output of the system. The attack prediction is done in cluster-based wireless network. Prediction of DDoS attacks is done based on energy consumption rate. The nodes with abnormal energy consumptions are identified as malicious attacker. Furthermore, the fuzzy system is designed to distinguish the types of DDoS attack according to the energy consumption rate of the malicious nodes. We tested the effectiveness of the proposed system with the results obtained from the simulation experiments. The performance was analyzed based Detection of attacks, energy consumption rate of DDoS attacks, attack detection rate, prediction of attacks, and speed of attack detection. The results were compared with the existing approaches. From the results we found a significant improvement in the detection and prediction of DDoS attacks IEEE 802.15.4 MAC layer.VDM Verlag, Dudweiler Landstraße 99, 66123 Saarbrücken 164 pp. Englisch. Bestandsnummer des Verkäufers 9783659710735
Anzahl: 1 verfügbar
Anbieter: AHA-BUCH GmbH, Einbeck, Deutschland
Taschenbuch. Zustand: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - We designed a fuzzy system to detect and predict the DDoS attacks in IEEE 802.15.4 MAC layer. The attack detection is done by the base station on the input values of detection metrics received by it from the respective node. The base station uses the value of BPR and SNR as input to the fuzzy systems to get the Level Of Attack (LOA) as the output of the system. The attack prediction is done in cluster-based wireless network. Prediction of DDoS attacks is done based on energy consumption rate. The nodes with abnormal energy consumptions are identified as malicious attacker. Furthermore, the fuzzy system is designed to distinguish the types of DDoS attack according to the energy consumption rate of the malicious nodes. We tested the effectiveness of the proposed system with the results obtained from the simulation experiments. The performance was analyzed based Detection of attacks, energy consumption rate of DDoS attacks, attack detection rate, prediction of attacks, and speed of attack detection. The results were compared with the existing approaches. From the results we found a significant improvement in the detection and prediction of DDoS attacks IEEE 802.15.4 MAC layer. Bestandsnummer des Verkäufers 9783659710735
Anzahl: 1 verfügbar
Anbieter: Revaluation Books, Exeter, Vereinigtes Königreich
Paperback. Zustand: Brand New. 164 pages. 8.66x5.91x0.37 inches. In Stock. Bestandsnummer des Verkäufers 3659710733
Anzahl: 1 verfügbar