Secure probabilistic caching in random multi-user multi-UAV relay networks
In this paper, we investigate the system model of random multi-user multi-UAV relay networks, where the transmission can be overheard by multiple eavesdroppers. We consider the random networks where the users, UAV relays and eavesdroppers arrive at the network subject to the homogeneous Poisson Poin...
Ausführliche Beschreibung
Gespeichert in:
| Autor*in: |
Shi, Fang [verfasserIn] |
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| Format: |
E-Artikel |
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| Sprache: |
Englisch |
| Erschienen: |
2019transfer abstract |
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| Schlagwörter: |
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| Umfang: |
10 |
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| Übergeordnetes Werk: |
Enthalten in: A new DFT-based frequency estimation algorithm for protection devices under normal and fault conditions - Soroush Karimi Madahi, Seyed ELSEVIER, 2022, Amsterdam [u.a.] |
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| Übergeordnetes Werk: |
volume:32 ; year:2019 ; pages:31-40 ; extent:10 |
| Links: |
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| DOI / URN: |
10.1016/j.phycom.2018.10.009 |
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ELV045727589 |
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| 520 | |a In this paper, we investigate the system model of random multi-user multi-UAV relay networks, where the transmission can be overheard by multiple eavesdroppers. We consider the random networks where the users, UAV relays and eavesdroppers arrive at the network subject to the homogeneous Poisson Point Process (PPP). Cache is equipped at UAV relays and users, and can pre-storage part of contents, which can help reduce the information leakage. Hence, it is of vital importance to design an effective secure probabilistic caching strategy to ensure the security of content transmission by combining the cache strategy and the physical-layer security in the presence of eavesdroppers. To this end, we first design the caching placement at users and UAV relays by taking into account four transmission schemes. We then analyze the secure performance of the caching placement by analyzing the expression of secure cache throughput. To maximize the secure cache throughput, we further optimize the probabilistic caching strategy by using the heuristic algorithm. Numerical results and discussion are provided to demonstrate that the proposed probabilistic caching strategy outperforms the conventional most popular content (MPC) and equal probability content (EPC) cache strategies, and the system secure performance can be improved by increasing the cache size and the intensity of UAV relays and users. | ||
| 520 | |a In this paper, we investigate the system model of random multi-user multi-UAV relay networks, where the transmission can be overheard by multiple eavesdroppers. We consider the random networks where the users, UAV relays and eavesdroppers arrive at the network subject to the homogeneous Poisson Point Process (PPP). Cache is equipped at UAV relays and users, and can pre-storage part of contents, which can help reduce the information leakage. Hence, it is of vital importance to design an effective secure probabilistic caching strategy to ensure the security of content transmission by combining the cache strategy and the physical-layer security in the presence of eavesdroppers. To this end, we first design the caching placement at users and UAV relays by taking into account four transmission schemes. We then analyze the secure performance of the caching placement by analyzing the expression of secure cache throughput. To maximize the secure cache throughput, we further optimize the probabilistic caching strategy by using the heuristic algorithm. Numerical results and discussion are provided to demonstrate that the proposed probabilistic caching strategy outperforms the conventional most popular content (MPC) and equal probability content (EPC) cache strategies, and the system secure performance can be improved by increasing the cache size and the intensity of UAV relays and users. | ||
| 650 | 7 | |a Multiple eavesdroppers |2 Elsevier | |
| 650 | 7 | |a Poisson point process |2 Elsevier | |
| 650 | 7 | |a Multiple users |2 Elsevier | |
| 650 | 7 | |a Secure transmission |2 Elsevier | |
| 650 | 7 | |a Secure probabilistic caching strategy |2 Elsevier | |
| 700 | 1 | |a Xia, Junjuan |4 oth | |
| 700 | 1 | |a Na, Zhenyu |4 oth | |
| 700 | 1 | |a Liu, Xin |4 oth | |
| 700 | 1 | |a Ding, Yunfei |4 oth | |
| 700 | 1 | |a Wang, Zhi |4 oth | |
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10.1016/j.phycom.2018.10.009 doi /cbs_pica/cbs_olc/import_discovery/elsevier/einzuspielen/GBV00000000001946.pica (DE-627)ELV045727589 (ELSEVIER)S1874-4907(18)30396-3 DE-627 ger DE-627 rakwb eng 620 VZ 53.30 bkl Shi, Fang verfasserin aut Secure probabilistic caching in random multi-user multi-UAV relay networks 2019transfer abstract 10 nicht spezifiziert zzz rdacontent nicht spezifiziert z rdamedia nicht spezifiziert zu rdacarrier In this paper, we investigate the system model of random multi-user multi-UAV relay networks, where the transmission can be overheard by multiple eavesdroppers. We consider the random networks where the users, UAV relays and eavesdroppers arrive at the network subject to the homogeneous Poisson Point Process (PPP). Cache is equipped at UAV relays and users, and can pre-storage part of contents, which can help reduce the information leakage. Hence, it is of vital importance to design an effective secure probabilistic caching strategy to ensure the security of content transmission by combining the cache strategy and the physical-layer security in the presence of eavesdroppers. To this end, we first design the caching placement at users and UAV relays by taking into account four transmission schemes. We then analyze the secure performance of the caching placement by analyzing the expression of secure cache throughput. To maximize the secure cache throughput, we further optimize the probabilistic caching strategy by using the heuristic algorithm. Numerical results and discussion are provided to demonstrate that the proposed probabilistic caching strategy outperforms the conventional most popular content (MPC) and equal probability content (EPC) cache strategies, and the system secure performance can be improved by increasing the cache size and the intensity of UAV relays and users. In this paper, we investigate the system model of random multi-user multi-UAV relay networks, where the transmission can be overheard by multiple eavesdroppers. We consider the random networks where the users, UAV relays and eavesdroppers arrive at the network subject to the homogeneous Poisson Point Process (PPP). Cache is equipped at UAV relays and users, and can pre-storage part of contents, which can help reduce the information leakage. Hence, it is of vital importance to design an effective secure probabilistic caching strategy to ensure the security of content transmission by combining the cache strategy and the physical-layer security in the presence of eavesdroppers. To this end, we first design the caching placement at users and UAV relays by taking into account four transmission schemes. We then analyze the secure performance of the caching placement by analyzing the expression of secure cache throughput. To maximize the secure cache throughput, we further optimize the probabilistic caching strategy by using the heuristic algorithm. Numerical results and discussion are provided to demonstrate that the proposed probabilistic caching strategy outperforms the conventional most popular content (MPC) and equal probability content (EPC) cache strategies, and the system secure performance can be improved by increasing the cache size and the intensity of UAV relays and users. Multiple eavesdroppers Elsevier Poisson point process Elsevier Multiple users Elsevier Secure transmission Elsevier Secure probabilistic caching strategy Elsevier Xia, Junjuan oth Na, Zhenyu oth Liu, Xin oth Ding, Yunfei oth Wang, Zhi oth Enthalten in Elsevier Soroush Karimi Madahi, Seyed ELSEVIER A new DFT-based frequency estimation algorithm for protection devices under normal and fault conditions 2022 Amsterdam [u.a.] (DE-627)ELV008049807 volume:32 year:2019 pages:31-40 extent:10 https://doi.org/10.1016/j.phycom.2018.10.009 Volltext GBV_USEFLAG_U GBV_ELV SYSFLAG_U 53.30 Elektrische Energietechnik: Allgemeines VZ AR 32 2019 31-40 10 |
| spelling |
10.1016/j.phycom.2018.10.009 doi /cbs_pica/cbs_olc/import_discovery/elsevier/einzuspielen/GBV00000000001946.pica (DE-627)ELV045727589 (ELSEVIER)S1874-4907(18)30396-3 DE-627 ger DE-627 rakwb eng 620 VZ 53.30 bkl Shi, Fang verfasserin aut Secure probabilistic caching in random multi-user multi-UAV relay networks 2019transfer abstract 10 nicht spezifiziert zzz rdacontent nicht spezifiziert z rdamedia nicht spezifiziert zu rdacarrier In this paper, we investigate the system model of random multi-user multi-UAV relay networks, where the transmission can be overheard by multiple eavesdroppers. We consider the random networks where the users, UAV relays and eavesdroppers arrive at the network subject to the homogeneous Poisson Point Process (PPP). Cache is equipped at UAV relays and users, and can pre-storage part of contents, which can help reduce the information leakage. Hence, it is of vital importance to design an effective secure probabilistic caching strategy to ensure the security of content transmission by combining the cache strategy and the physical-layer security in the presence of eavesdroppers. To this end, we first design the caching placement at users and UAV relays by taking into account four transmission schemes. We then analyze the secure performance of the caching placement by analyzing the expression of secure cache throughput. To maximize the secure cache throughput, we further optimize the probabilistic caching strategy by using the heuristic algorithm. Numerical results and discussion are provided to demonstrate that the proposed probabilistic caching strategy outperforms the conventional most popular content (MPC) and equal probability content (EPC) cache strategies, and the system secure performance can be improved by increasing the cache size and the intensity of UAV relays and users. In this paper, we investigate the system model of random multi-user multi-UAV relay networks, where the transmission can be overheard by multiple eavesdroppers. We consider the random networks where the users, UAV relays and eavesdroppers arrive at the network subject to the homogeneous Poisson Point Process (PPP). Cache is equipped at UAV relays and users, and can pre-storage part of contents, which can help reduce the information leakage. Hence, it is of vital importance to design an effective secure probabilistic caching strategy to ensure the security of content transmission by combining the cache strategy and the physical-layer security in the presence of eavesdroppers. To this end, we first design the caching placement at users and UAV relays by taking into account four transmission schemes. We then analyze the secure performance of the caching placement by analyzing the expression of secure cache throughput. To maximize the secure cache throughput, we further optimize the probabilistic caching strategy by using the heuristic algorithm. Numerical results and discussion are provided to demonstrate that the proposed probabilistic caching strategy outperforms the conventional most popular content (MPC) and equal probability content (EPC) cache strategies, and the system secure performance can be improved by increasing the cache size and the intensity of UAV relays and users. Multiple eavesdroppers Elsevier Poisson point process Elsevier Multiple users Elsevier Secure transmission Elsevier Secure probabilistic caching strategy Elsevier Xia, Junjuan oth Na, Zhenyu oth Liu, Xin oth Ding, Yunfei oth Wang, Zhi oth Enthalten in Elsevier Soroush Karimi Madahi, Seyed ELSEVIER A new DFT-based frequency estimation algorithm for protection devices under normal and fault conditions 2022 Amsterdam [u.a.] (DE-627)ELV008049807 volume:32 year:2019 pages:31-40 extent:10 https://doi.org/10.1016/j.phycom.2018.10.009 Volltext GBV_USEFLAG_U GBV_ELV SYSFLAG_U 53.30 Elektrische Energietechnik: Allgemeines VZ AR 32 2019 31-40 10 |
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10.1016/j.phycom.2018.10.009 doi /cbs_pica/cbs_olc/import_discovery/elsevier/einzuspielen/GBV00000000001946.pica (DE-627)ELV045727589 (ELSEVIER)S1874-4907(18)30396-3 DE-627 ger DE-627 rakwb eng 620 VZ 53.30 bkl Shi, Fang verfasserin aut Secure probabilistic caching in random multi-user multi-UAV relay networks 2019transfer abstract 10 nicht spezifiziert zzz rdacontent nicht spezifiziert z rdamedia nicht spezifiziert zu rdacarrier In this paper, we investigate the system model of random multi-user multi-UAV relay networks, where the transmission can be overheard by multiple eavesdroppers. We consider the random networks where the users, UAV relays and eavesdroppers arrive at the network subject to the homogeneous Poisson Point Process (PPP). Cache is equipped at UAV relays and users, and can pre-storage part of contents, which can help reduce the information leakage. Hence, it is of vital importance to design an effective secure probabilistic caching strategy to ensure the security of content transmission by combining the cache strategy and the physical-layer security in the presence of eavesdroppers. To this end, we first design the caching placement at users and UAV relays by taking into account four transmission schemes. We then analyze the secure performance of the caching placement by analyzing the expression of secure cache throughput. To maximize the secure cache throughput, we further optimize the probabilistic caching strategy by using the heuristic algorithm. Numerical results and discussion are provided to demonstrate that the proposed probabilistic caching strategy outperforms the conventional most popular content (MPC) and equal probability content (EPC) cache strategies, and the system secure performance can be improved by increasing the cache size and the intensity of UAV relays and users. In this paper, we investigate the system model of random multi-user multi-UAV relay networks, where the transmission can be overheard by multiple eavesdroppers. We consider the random networks where the users, UAV relays and eavesdroppers arrive at the network subject to the homogeneous Poisson Point Process (PPP). Cache is equipped at UAV relays and users, and can pre-storage part of contents, which can help reduce the information leakage. Hence, it is of vital importance to design an effective secure probabilistic caching strategy to ensure the security of content transmission by combining the cache strategy and the physical-layer security in the presence of eavesdroppers. To this end, we first design the caching placement at users and UAV relays by taking into account four transmission schemes. We then analyze the secure performance of the caching placement by analyzing the expression of secure cache throughput. To maximize the secure cache throughput, we further optimize the probabilistic caching strategy by using the heuristic algorithm. Numerical results and discussion are provided to demonstrate that the proposed probabilistic caching strategy outperforms the conventional most popular content (MPC) and equal probability content (EPC) cache strategies, and the system secure performance can be improved by increasing the cache size and the intensity of UAV relays and users. Multiple eavesdroppers Elsevier Poisson point process Elsevier Multiple users Elsevier Secure transmission Elsevier Secure probabilistic caching strategy Elsevier Xia, Junjuan oth Na, Zhenyu oth Liu, Xin oth Ding, Yunfei oth Wang, Zhi oth Enthalten in Elsevier Soroush Karimi Madahi, Seyed ELSEVIER A new DFT-based frequency estimation algorithm for protection devices under normal and fault conditions 2022 Amsterdam [u.a.] (DE-627)ELV008049807 volume:32 year:2019 pages:31-40 extent:10 https://doi.org/10.1016/j.phycom.2018.10.009 Volltext GBV_USEFLAG_U GBV_ELV SYSFLAG_U 53.30 Elektrische Energietechnik: Allgemeines VZ AR 32 2019 31-40 10 |
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10.1016/j.phycom.2018.10.009 doi /cbs_pica/cbs_olc/import_discovery/elsevier/einzuspielen/GBV00000000001946.pica (DE-627)ELV045727589 (ELSEVIER)S1874-4907(18)30396-3 DE-627 ger DE-627 rakwb eng 620 VZ 53.30 bkl Shi, Fang verfasserin aut Secure probabilistic caching in random multi-user multi-UAV relay networks 2019transfer abstract 10 nicht spezifiziert zzz rdacontent nicht spezifiziert z rdamedia nicht spezifiziert zu rdacarrier In this paper, we investigate the system model of random multi-user multi-UAV relay networks, where the transmission can be overheard by multiple eavesdroppers. We consider the random networks where the users, UAV relays and eavesdroppers arrive at the network subject to the homogeneous Poisson Point Process (PPP). Cache is equipped at UAV relays and users, and can pre-storage part of contents, which can help reduce the information leakage. Hence, it is of vital importance to design an effective secure probabilistic caching strategy to ensure the security of content transmission by combining the cache strategy and the physical-layer security in the presence of eavesdroppers. To this end, we first design the caching placement at users and UAV relays by taking into account four transmission schemes. We then analyze the secure performance of the caching placement by analyzing the expression of secure cache throughput. To maximize the secure cache throughput, we further optimize the probabilistic caching strategy by using the heuristic algorithm. Numerical results and discussion are provided to demonstrate that the proposed probabilistic caching strategy outperforms the conventional most popular content (MPC) and equal probability content (EPC) cache strategies, and the system secure performance can be improved by increasing the cache size and the intensity of UAV relays and users. In this paper, we investigate the system model of random multi-user multi-UAV relay networks, where the transmission can be overheard by multiple eavesdroppers. We consider the random networks where the users, UAV relays and eavesdroppers arrive at the network subject to the homogeneous Poisson Point Process (PPP). Cache is equipped at UAV relays and users, and can pre-storage part of contents, which can help reduce the information leakage. Hence, it is of vital importance to design an effective secure probabilistic caching strategy to ensure the security of content transmission by combining the cache strategy and the physical-layer security in the presence of eavesdroppers. To this end, we first design the caching placement at users and UAV relays by taking into account four transmission schemes. We then analyze the secure performance of the caching placement by analyzing the expression of secure cache throughput. To maximize the secure cache throughput, we further optimize the probabilistic caching strategy by using the heuristic algorithm. Numerical results and discussion are provided to demonstrate that the proposed probabilistic caching strategy outperforms the conventional most popular content (MPC) and equal probability content (EPC) cache strategies, and the system secure performance can be improved by increasing the cache size and the intensity of UAV relays and users. Multiple eavesdroppers Elsevier Poisson point process Elsevier Multiple users Elsevier Secure transmission Elsevier Secure probabilistic caching strategy Elsevier Xia, Junjuan oth Na, Zhenyu oth Liu, Xin oth Ding, Yunfei oth Wang, Zhi oth Enthalten in Elsevier Soroush Karimi Madahi, Seyed ELSEVIER A new DFT-based frequency estimation algorithm for protection devices under normal and fault conditions 2022 Amsterdam [u.a.] (DE-627)ELV008049807 volume:32 year:2019 pages:31-40 extent:10 https://doi.org/10.1016/j.phycom.2018.10.009 Volltext GBV_USEFLAG_U GBV_ELV SYSFLAG_U 53.30 Elektrische Energietechnik: Allgemeines VZ AR 32 2019 31-40 10 |
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10.1016/j.phycom.2018.10.009 doi /cbs_pica/cbs_olc/import_discovery/elsevier/einzuspielen/GBV00000000001946.pica (DE-627)ELV045727589 (ELSEVIER)S1874-4907(18)30396-3 DE-627 ger DE-627 rakwb eng 620 VZ 53.30 bkl Shi, Fang verfasserin aut Secure probabilistic caching in random multi-user multi-UAV relay networks 2019transfer abstract 10 nicht spezifiziert zzz rdacontent nicht spezifiziert z rdamedia nicht spezifiziert zu rdacarrier In this paper, we investigate the system model of random multi-user multi-UAV relay networks, where the transmission can be overheard by multiple eavesdroppers. We consider the random networks where the users, UAV relays and eavesdroppers arrive at the network subject to the homogeneous Poisson Point Process (PPP). Cache is equipped at UAV relays and users, and can pre-storage part of contents, which can help reduce the information leakage. Hence, it is of vital importance to design an effective secure probabilistic caching strategy to ensure the security of content transmission by combining the cache strategy and the physical-layer security in the presence of eavesdroppers. To this end, we first design the caching placement at users and UAV relays by taking into account four transmission schemes. We then analyze the secure performance of the caching placement by analyzing the expression of secure cache throughput. To maximize the secure cache throughput, we further optimize the probabilistic caching strategy by using the heuristic algorithm. Numerical results and discussion are provided to demonstrate that the proposed probabilistic caching strategy outperforms the conventional most popular content (MPC) and equal probability content (EPC) cache strategies, and the system secure performance can be improved by increasing the cache size and the intensity of UAV relays and users. In this paper, we investigate the system model of random multi-user multi-UAV relay networks, where the transmission can be overheard by multiple eavesdroppers. We consider the random networks where the users, UAV relays and eavesdroppers arrive at the network subject to the homogeneous Poisson Point Process (PPP). Cache is equipped at UAV relays and users, and can pre-storage part of contents, which can help reduce the information leakage. Hence, it is of vital importance to design an effective secure probabilistic caching strategy to ensure the security of content transmission by combining the cache strategy and the physical-layer security in the presence of eavesdroppers. To this end, we first design the caching placement at users and UAV relays by taking into account four transmission schemes. We then analyze the secure performance of the caching placement by analyzing the expression of secure cache throughput. To maximize the secure cache throughput, we further optimize the probabilistic caching strategy by using the heuristic algorithm. Numerical results and discussion are provided to demonstrate that the proposed probabilistic caching strategy outperforms the conventional most popular content (MPC) and equal probability content (EPC) cache strategies, and the system secure performance can be improved by increasing the cache size and the intensity of UAV relays and users. Multiple eavesdroppers Elsevier Poisson point process Elsevier Multiple users Elsevier Secure transmission Elsevier Secure probabilistic caching strategy Elsevier Xia, Junjuan oth Na, Zhenyu oth Liu, Xin oth Ding, Yunfei oth Wang, Zhi oth Enthalten in Elsevier Soroush Karimi Madahi, Seyed ELSEVIER A new DFT-based frequency estimation algorithm for protection devices under normal and fault conditions 2022 Amsterdam [u.a.] (DE-627)ELV008049807 volume:32 year:2019 pages:31-40 extent:10 https://doi.org/10.1016/j.phycom.2018.10.009 Volltext GBV_USEFLAG_U GBV_ELV SYSFLAG_U 53.30 Elektrische Energietechnik: Allgemeines VZ AR 32 2019 31-40 10 |
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A new DFT-based frequency estimation algorithm for protection devices under normal and fault conditions |
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We consider the random networks where the users, UAV relays and eavesdroppers arrive at the network subject to the homogeneous Poisson Point Process (PPP). Cache is equipped at UAV relays and users, and can pre-storage part of contents, which can help reduce the information leakage. Hence, it is of vital importance to design an effective secure probabilistic caching strategy to ensure the security of content transmission by combining the cache strategy and the physical-layer security in the presence of eavesdroppers. To this end, we first design the caching placement at users and UAV relays by taking into account four transmission schemes. We then analyze the secure performance of the caching placement by analyzing the expression of secure cache throughput. To maximize the secure cache throughput, we further optimize the probabilistic caching strategy by using the heuristic algorithm. Numerical results and discussion are provided to demonstrate that the proposed probabilistic caching strategy outperforms the conventional most popular content (MPC) and equal probability content (EPC) cache strategies, and the system secure performance can be improved by increasing the cache size and the intensity of UAV relays and users.</subfield></datafield><datafield tag="520" ind1=" " ind2=" "><subfield code="a">In this paper, we investigate the system model of random multi-user multi-UAV relay networks, where the transmission can be overheard by multiple eavesdroppers. We consider the random networks where the users, UAV relays and eavesdroppers arrive at the network subject to the homogeneous Poisson Point Process (PPP). Cache is equipped at UAV relays and users, and can pre-storage part of contents, which can help reduce the information leakage. Hence, it is of vital importance to design an effective secure probabilistic caching strategy to ensure the security of content transmission by combining the cache strategy and the physical-layer security in the presence of eavesdroppers. To this end, we first design the caching placement at users and UAV relays by taking into account four transmission schemes. We then analyze the secure performance of the caching placement by analyzing the expression of secure cache throughput. To maximize the secure cache throughput, we further optimize the probabilistic caching strategy by using the heuristic algorithm. 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In this paper, we investigate the system model of random multi-user multi-UAV relay networks, where the transmission can be overheard by multiple eavesdroppers. We consider the random networks where the users, UAV relays and eavesdroppers arrive at the network subject to the homogeneous Poisson Point Process (PPP). Cache is equipped at UAV relays and users, and can pre-storage part of contents, which can help reduce the information leakage. Hence, it is of vital importance to design an effective secure probabilistic caching strategy to ensure the security of content transmission by combining the cache strategy and the physical-layer security in the presence of eavesdroppers. To this end, we first design the caching placement at users and UAV relays by taking into account four transmission schemes. We then analyze the secure performance of the caching placement by analyzing the expression of secure cache throughput. To maximize the secure cache throughput, we further optimize the probabilistic caching strategy by using the heuristic algorithm. Numerical results and discussion are provided to demonstrate that the proposed probabilistic caching strategy outperforms the conventional most popular content (MPC) and equal probability content (EPC) cache strategies, and the system secure performance can be improved by increasing the cache size and the intensity of UAV relays and users. |
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In this paper, we investigate the system model of random multi-user multi-UAV relay networks, where the transmission can be overheard by multiple eavesdroppers. We consider the random networks where the users, UAV relays and eavesdroppers arrive at the network subject to the homogeneous Poisson Point Process (PPP). Cache is equipped at UAV relays and users, and can pre-storage part of contents, which can help reduce the information leakage. Hence, it is of vital importance to design an effective secure probabilistic caching strategy to ensure the security of content transmission by combining the cache strategy and the physical-layer security in the presence of eavesdroppers. To this end, we first design the caching placement at users and UAV relays by taking into account four transmission schemes. We then analyze the secure performance of the caching placement by analyzing the expression of secure cache throughput. To maximize the secure cache throughput, we further optimize the probabilistic caching strategy by using the heuristic algorithm. Numerical results and discussion are provided to demonstrate that the proposed probabilistic caching strategy outperforms the conventional most popular content (MPC) and equal probability content (EPC) cache strategies, and the system secure performance can be improved by increasing the cache size and the intensity of UAV relays and users. |
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In this paper, we investigate the system model of random multi-user multi-UAV relay networks, where the transmission can be overheard by multiple eavesdroppers. We consider the random networks where the users, UAV relays and eavesdroppers arrive at the network subject to the homogeneous Poisson Point Process (PPP). Cache is equipped at UAV relays and users, and can pre-storage part of contents, which can help reduce the information leakage. Hence, it is of vital importance to design an effective secure probabilistic caching strategy to ensure the security of content transmission by combining the cache strategy and the physical-layer security in the presence of eavesdroppers. To this end, we first design the caching placement at users and UAV relays by taking into account four transmission schemes. We then analyze the secure performance of the caching placement by analyzing the expression of secure cache throughput. To maximize the secure cache throughput, we further optimize the probabilistic caching strategy by using the heuristic algorithm. Numerical results and discussion are provided to demonstrate that the proposed probabilistic caching strategy outperforms the conventional most popular content (MPC) and equal probability content (EPC) cache strategies, and the system secure performance can be improved by increasing the cache size and the intensity of UAV relays and users. |
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