Visible to the public Biblio

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Su, W., Antoniou, A., Eagle, C..  2017.  Cyber Security of Industrial Communication Protocols. 2017 22nd IEEE International Conference on Emerging Technologies and Factory Automation (ETFA). :1–4.

In this paper, an industrial testbed is proposed utilizing commercial-off-the-shelf equipment, and it is used to study the weakness of industrial Ethernet, i.e., PROFINET. The investigation is based on observation of the principles of operation of PROFINET and the functionality of industrial control systems.

Bhotto, M.Z.A., Antoniou, A..  2014.  Affine-Projection-Like Adaptive-Filtering Algorithms Using Gradient-Based Step Size. Circuits and Systems I: Regular Papers, IEEE Transactions on. 61:2048-2056.

A new class of affine-projection-like (APL) adaptive-filtering algorithms is proposed. The new algorithms are obtained by eliminating the constraint of forcing the a posteriori error vector to zero in the affine-projection algorithm proposed by Ozeki and Umeda. In this way, direct or indirect inversion of the input signal matrix is not required and, consequently, the amount of computation required per iteration can be reduced. In addition, as demonstrated by extensive simulation results, the proposed algorithms offer reduced steady-state misalignment in system-identification, channel-equalization, and acoustic-echo-cancelation applications. A mean-square-error analysis of the proposed APL algorithms is also carried out and its accuracy is verified by using simulation results in a system-identification application.