1. A novel method for network worm detection based on wavelet packet analysis
Academic Journal of Xi'an Jiaotong University 2006;18(2):97-101
Objective: To detect unknown network worm at its early propagation stage. Methods: On the basis of characteristics of network worm attack, the concept of failed connection flow (FCT) was defined. Based on wavelet packet analysis of FCT time series, this method computed the energy associated with each wavelet packet of FCT time series, transformed the FCT time series into a series of energy distribution vector on frequency domain, then a trained K-nearest neighbor (KNN) classifier was applied to identify the worm. Results: The experiment showed that the method could identify network worm when the worm started to scan. Compared to theoretic value, the identification error ratio was 5.69%. Conclusion: The method can detect unknown network worm at its early propagation stage effectively.
2.A NOVEL METHOD FOR NETWORK WORM DETECTION BASED ON WAVELET PACKET ANALYSIS
Mingtao LIAO ; Deyun ZHANG ; Lin HOU
Journal of Pharmaceutical Analysis 2006;18(2):97-101
Objective To detect unknown network worm at its early propagation stage. Methods On the basis of characteristics of network worm attack, the concept of failed connection flow (FCT) was defined. Based on wavelet packet analysis of FCT time series, this method computed the energy associated with each wavelet packet of FCT time series, transformed the FCT time series into a series of energy distribution vector on frequency domain, then a trained K-nearest neighbor (KNN) classifier was applied to identify the worm. Results The experiment showed that the method could identify network worm when the worm started to scan. Compared to theoretic value, the identification error ratio was 5.69%. Conclusion The method can detect unknown network worm at its early propagation stage effectively.
3.Differential analysis of serum proteomics in Crohn’ s disease treated with infliximab
Shiyue LIAO ; Baili CHEN ; Kunhua HU ; Peisi RAO ; Yao HE ; Mingtao LI ; Minhu CHEN ; Zhirong ZENG
Chinese Journal of Pathophysiology 2015;(5):894-899
AIM:To identify the serum proteins that might serve as biomarkers for predicting mucosal healing ( MH) in the patients with Crohn’ s disease ( CD) treated with infliximab ( IFX) .METHODS:We collected serum sam-ples before treatment (0 week, group A) and 14 weeks after treatment (group B) from 7 CD patients with IFX treatment who had achieved MH, as well as the serum samples from 7 CD patients who had not achieved MH (0 week, group C;14 weeks, group D) .Two-dimensional fluorescence difference gel electrophoresis was applied to analyze and compare the re-sults of serum profiles between groups A and B, C and D, A and C, B and D.Matrix-assisted laser desorption/ionization time-of-flight tandem mass spectrometry and bioinformatics tools were utilized to preliminarily identify and figure out the dif-ferentially expressed proteins.RESULTS:(1) In total, there were 44 differentially expressed spots, 36, 3, 10 and 31 differentially expressed spots were detected while comparing A with B, C with D, A with C and B with D, respectively. (2) Among those spots, 17, 2, 2 and 15 proteins were identified, respectively.In total, there were 19 differentially ex-pressed proteins, including apolipoprotein E, apolipoprotein A-I, complement factor H, and so on.(3) Protein functional association networks were carried out based on STRING database.CONCLUSION: The serum protein profiles obviously change after IFX treatment in MH CD patients, and the serum protein profiles of MH patients are different from that of non-MH patients after IFX treatment.The 19 proteins we identified may serve as potential biomarkers for predicting MH in CD patients with IFX treatment.