Abstract
In pursuance to understand the behavior of a potential green hybrid attacker in secure Internet-of-Things (IoT), this letter investigates optimal energy utilization from the attacker's viewpoint. Specifically, we propose a novel framework for optimizing the efficacy of a hybrid attacker, possessing capability to both eavesdrop and jam, while considering the underlying energy consumption. In particular, we maximize the attacker energy efficiency (AEE) in secure IoT by deriving the analytical solutions for jointly global-optimal attacking mode, eavesdropping rate, and jamming power. Numerical results, validating analytical claims, reveal that the proposed green design can offer about 45% improvement in average AEE over the relevant benchmarks.
| Original language | English |
|---|---|
| Article number | 8930598 |
| Pages (from-to) | 457-460 |
| Number of pages | 4 |
| Journal | IEEE Wireless Communications Letters |
| Volume | 9 |
| Issue number | 4 |
| DOIs | |
| State | Published - Apr 2020 |
| Externally published | Yes |
Funding
Manuscript received September 25, 2019; revised November 19, 2019; accepted December 2, 2019. Date of publication December 10, 2019; date of current version April 9, 2020. This work was supported by the Department of Electron and Information Technology Government of India through Vishvesvaraya Ph.D. Fellowship Scheme. The associate editor coordinating the review of this article and approving it for publication was R. Wang. (Corresponding author: Bhawna Ahuja.) B. Ahuja is with the Bharti School of Telecommunication Technology and Management, IIT Delhi, New Delhi 110016, India (e-mail: [email protected]).
| Funders | Funder number |
|---|---|
| Department of Electron and Information Technology Government of India |
Keywords
- eavesdropping
- energy efficiency
- global optimization
- jamming
- Physical layer security
- power control
