A cooperative immune network algorithm used for virus detection is proposed

in which detectors are optimized through cooperation and incentive between different kinds of immune cells.The non-self set is introduced

and mature detectors are selected and cloned according to the fitness between detectors and non-self set to enhance the incentive for antibodies.The mutation step is updated by the generation number of evolution to change the mutation way of mature detectors adaptively.Furthermore

the network suppression strategy based on concentration partition is proposed according to the incentive between antibodies and antigens in the entire immune network.Experimental results show that the proposed algorithm can increase the diversity of detectors

and improve the virus detection ability of the entire immune network effectively.