Drexel University

Rachel Greenstadt

Kapil R Dandekar

Prathaban Mookiah

John MacLaren Walsh

Channel based authentication schemes for intrusion detection that operates at the physical layer are described that apply the capabilities of a pattern reconfigurable antenna for improved performance. Performance gains are achieved by the schemes as a function of the number of antenna modes. The first scheme relies on a channel based fingerprint for differentiating between transmitters whereas another scheme poses the intruder detection problem as a generalized likelihood ratio (GLR) test problem that operates on the channel realizations corresponding to different modes present in a reconfigurable antenna. The benefits of these two schemes over single element antennas are demonstrated. General guidelines are provided on how to choose the different elements of the decision metric in order to realize better performance for physical layer based authentication schemes based on any diversity scheme.

Reconfigurable antenna based solutions for device authentication and intrusion detection in wireless networks

Channel based authentication schemes for intrusion detection that operates at the physical layer are described that apply the capabilities of a pattern re-configurable antenna for improved performance. Performance gains are achieved by the schemes as a function of the number of antenna modes. The first scheme relies on a channel based fingerprint for differentiating between transmitters whereas another scheme poses the intruder detection problem as a generalized likelihood ratio (GLR) test problem that operates on the channel realizations corresponding to different modes present in a reconfigurable antenna. The benefits of these two schemes over single element antennas are demonstrated. General guidelines are provided on how to choose the different elements of the decision metric in order to realize better performance for physical layer based authentication schemes based on any diversity scheme.

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Philadelphia, PA, United States of America

Rachel Greenstadt