Takagi–Sugeno Fuzzy Control for a Nonlinear Networked System Exposed to a Replay Attack

Abstract

This article investigates the stabilization problem of a nonlinear networked control system (NCS) exposed to a replay attack. A new mathematical model of the replay attack is proposed. The resulting closed-loop system is defined as a discrete-time Markovian jump linear system (MJLS). Employing the Lyapunov–Krasovskii functional, a sufficient condition for stochastic stability is given in the form of linear matrix inequalities (LMIs). The control law can be obtained by solving these LMIs. Finally, a simulation of an inverted pendulum (IP) with Matlab is developed to illustrate our controller’s efficiency.

Enhancing Networking Cipher Algorithms with Natural Language

“…Since the key stream is frequently combined with plain text using an invertible operation, this means that successive cipher texts can be combined to produce a combination of the plain text. [1] That makes an attack, such as a replay attack [4], a good candidate for attack because one could identify the commonality of a repeating stream using easy-to-obtain tools such Figure 2. English language letter frequency.…”

“…Contrastingly, a common framework, while seemingly easy-to-decrypt and insecure, could be the use of a language for encryption. Most networking stream attacks, such as the commonly implemented replay attack [4], use the knowledge of the local language at hand to stage attacks; they normally do not consider the idea of another language being used as an extra layer of encryption.…”