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Robotic swarms could solve, without the need for a central controller, a wide range of difficult applications in real-world environments. First part of the paper is dedicated to the connection between robotic swarm and membrane computing. The second part of our research is the development of a biologically inspired BIS approach for enabling the distributed security of a robotic swarm. Thus we propose in AIS an algorithm based on negative selection for Pcol automaton. In this paper we define a mathematical model for security issues of robotic swarms combining bio-inspired computational models with evolutive systems. [ABSTRACT FROM AUTHOR]