Encyclopedia of Wireless Networks

Living Edition
| Editors: Xuemin (Sherman) Shen, Xiaodong Lin, Kuan Zhang

Learning-Based Secure Mobile Offloading

  • Liang XiaoEmail author
Living reference work entry
DOI: https://doi.org/10.1007/978-3-319-32903-1_122-1


Learning-based secure offloading strategy applies the reinforcement learning algorithms to derive the optimal data offloading and defense policy for the mobile devices to counter the potential smart attackers in a mobile computing system, without any preliminary knowledge of the environmental parameters and the attack model.

Historical Background

With the proliferation of cloud-based mobile services, mobile devices such as smartphones and tablets can offload their applications and data to the cloud to improve user experience in terms of longer battery lifetime, larger data storage, faster processing speed, and more powerful security services (Xiao et al., 2017). However, data offloading to the cloud via access points (APs) or base stations (BSs) is vulnerable to various types of attacks, such as spoofing, eavesdropping, and jamming (Kumar and Lu, 2010). A smart attacker can use smart and programmable radio devices such as Universal Software Radio Peripherals (USPRs) or the...

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This work is supported by the National Natural Science Foundation of China under Grant 61671396.


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© Springer Nature Switzerland AG 2019

Authors and Affiliations

  1. 1.Department of Communication EngineeringXiamen UniversityXiamenChina

Section editors and affiliations

  • Yingying Chen

There are no affiliations available