The invention discloses a method and a device for detecting low interest flooding attacks (LIFA) in an information centric network, which can improve the accuracy of LIFA detection and reduce the occurrence of false alarms. The method comprises the steps of: S1, calculating a wavelet coefficient dj,k of each scale in a selected scale set by using a traffic sampling signal and a wavelet mother function in the information centric network, and reconstructing a low frequency portion of the traffic sampling signal by using the wavelet coefficient dj,k, wherein the number of wavelet decomposition layers is J, J is a positive integer, the scale set is a set of integers not less than and less than J, and dj,k represents detail information on the scale j and the translation k; and S2, comparing themodulus of the low frequency portion with a preset detection threshold, and if the modulus is not less than the detection threshold, determining a low interest flooding attack.