Secure Mobile Edge Computing Networks in the Presence of Multiple Eavesdroppers

Xiazhi Lai; Lisheng Fan; Xianfu Lei; Yansha Deng; George K. Karagiannidis; Arumugam Nallanathan

doi:10.1109/TCOMM.2021.3119075

Secure Mobile Edge Computing Networks in the Presence of Multiple Eavesdroppers

Xiazhi Lai, Lisheng Fan, Xianfu Lei, Yansha Deng, George K. Karagiannidis, Arumugam Nallanathan

Research output: Contribution to journal › Article › peer-review

38 Citations (Scopus)

Abstract

In this paper, we investigate a secure mobile edge computing (MEC) network in the presence of multiple eavesdroppers, where multiple users can offload parts of their tasks to the computational access point (CAP). The multiple eavesdroppers may overhear the confidential task offloading, which leads to information leakage. In order to address this issue, we present the minimization problem of the secrecy outage probability (SOP), by jointly taking into account the constraints from the latency and energy consumption. With the aim to improve the system secrecy performance, we then introduce three user selection criteria to choose the best user among multiple ones. Specifically, criterion I maximizes the locally computational capacity, while criterion II and III maximize the secrecy capacity and data rate of main links, respectively. For these criteria, we further analyze the system secrecy performance by deriving analytical and asymptotic expressions for the SOP, from which we can conclude important insights for the system design. Finally, simulation and analytical results are provided to verify the proposed analysis. The results show that the three criteria can efficiently safeguard the MEC networks, compared to the traditional local computing and fully offloading, especially with a large value of user number.

Original language	English
Pages (from-to)	500-513
Number of pages	14
Journal	IEEE TRANSACTIONS ON COMMUNICATIONS
Volume	70
Issue number	1
DOIs	https://doi.org/10.1109/TCOMM.2021.3119075
Publication status	Published - Jan 2022

Keywords

energy consumption
latency
mobile edge computing
secrecy outage probability
Secure communication
user selection

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10.1109/TCOMM.2021.3119075

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title = "Secure Mobile Edge Computing Networks in the Presence of Multiple Eavesdroppers",

abstract = "In this paper, we investigate a secure mobile edge computing (MEC) network in the presence of multiple eavesdroppers, where multiple users can offload parts of their tasks to the computational access point (CAP). The multiple eavesdroppers may overhear the confidential task offloading, which leads to information leakage. In order to address this issue, we present the minimization problem of the secrecy outage probability (SOP), by jointly taking into account the constraints from the latency and energy consumption. With the aim to improve the system secrecy performance, we then introduce three user selection criteria to choose the best user among multiple ones. Specifically, criterion I maximizes the locally computational capacity, while criterion II and III maximize the secrecy capacity and data rate of main links, respectively. For these criteria, we further analyze the system secrecy performance by deriving analytical and asymptotic expressions for the SOP, from which we can conclude important insights for the system design. Finally, simulation and analytical results are provided to verify the proposed analysis. The results show that the three criteria can efficiently safeguard the MEC networks, compared to the traditional local computing and fully offloading, especially with a large value of user number.",

keywords = "energy consumption, latency, mobile edge computing, secrecy outage probability, Secure communication, user selection",

author = "Xiazhi Lai and Lisheng Fan and Xianfu Lei and Yansha Deng and Karagiannidis, {George K.} and Arumugam Nallanathan",

note = "Funding Information: This work was supported in part by the NSFC (No. 6187113962101145), in part by the International Science and Technology Cooperation Projects of Guangdong Province (No. 2020A0505100060), in part by the Natural Science Foundation of Guangdong Province (No. 2021A1515011392), and in part by the research program of Guangzhou University (No. YK2020008YJ2021003). The work of Xianfu Lei was supported by the National Natural Science Foundation of China under Grant 61971360, the Fundamental Research Funds for the Central Universities under Grant XJ2021KJZK007, and the open research fund of National Mobile Communications Research Laboratory, Southeast University (No. 2021D05). Publisher Copyright: {\textcopyright} 1972-2012 IEEE.",

year = "2022",

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AU - Lai, Xiazhi

AU - Fan, Lisheng

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AU - Deng, Yansha

AU - Karagiannidis, George K.

AU - Nallanathan, Arumugam

N1 - Funding Information: This work was supported in part by the NSFC (No. 6187113962101145), in part by the International Science and Technology Cooperation Projects of Guangdong Province (No. 2020A0505100060), in part by the Natural Science Foundation of Guangdong Province (No. 2021A1515011392), and in part by the research program of Guangzhou University (No. YK2020008YJ2021003). The work of Xianfu Lei was supported by the National Natural Science Foundation of China under Grant 61971360, the Fundamental Research Funds for the Central Universities under Grant XJ2021KJZK007, and the open research fund of National Mobile Communications Research Laboratory, Southeast University (No. 2021D05). Publisher Copyright: © 1972-2012 IEEE.

PY - 2022/1

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N2 - In this paper, we investigate a secure mobile edge computing (MEC) network in the presence of multiple eavesdroppers, where multiple users can offload parts of their tasks to the computational access point (CAP). The multiple eavesdroppers may overhear the confidential task offloading, which leads to information leakage. In order to address this issue, we present the minimization problem of the secrecy outage probability (SOP), by jointly taking into account the constraints from the latency and energy consumption. With the aim to improve the system secrecy performance, we then introduce three user selection criteria to choose the best user among multiple ones. Specifically, criterion I maximizes the locally computational capacity, while criterion II and III maximize the secrecy capacity and data rate of main links, respectively. For these criteria, we further analyze the system secrecy performance by deriving analytical and asymptotic expressions for the SOP, from which we can conclude important insights for the system design. Finally, simulation and analytical results are provided to verify the proposed analysis. The results show that the three criteria can efficiently safeguard the MEC networks, compared to the traditional local computing and fully offloading, especially with a large value of user number.

AB - In this paper, we investigate a secure mobile edge computing (MEC) network in the presence of multiple eavesdroppers, where multiple users can offload parts of their tasks to the computational access point (CAP). The multiple eavesdroppers may overhear the confidential task offloading, which leads to information leakage. In order to address this issue, we present the minimization problem of the secrecy outage probability (SOP), by jointly taking into account the constraints from the latency and energy consumption. With the aim to improve the system secrecy performance, we then introduce three user selection criteria to choose the best user among multiple ones. Specifically, criterion I maximizes the locally computational capacity, while criterion II and III maximize the secrecy capacity and data rate of main links, respectively. For these criteria, we further analyze the system secrecy performance by deriving analytical and asymptotic expressions for the SOP, from which we can conclude important insights for the system design. Finally, simulation and analytical results are provided to verify the proposed analysis. The results show that the three criteria can efficiently safeguard the MEC networks, compared to the traditional local computing and fully offloading, especially with a large value of user number.

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ER -

Secure Mobile Edge Computing Networks in the Presence of Multiple Eavesdroppers

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Keywords

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