Generalized Feistel structures are widely used in the design of block ciphers. In this paper, we focused on retrieving impossible differentials for two kinds of generalized Feistel structures: CAST256-like structure with Substitution-Permutation (SP) or Substitution-Permutation-Substitution (SPS) round functions (named CAST256SP and CAST256SPS, respectively) and MARS-like structure with SP/SPS round function (named MARSSP and MARSSPS, respectively). Known results show that for bijective round function, CAST256-like structures and MARS-like structures have (m2−1) and (2m−1) rounds impossible differentials, respectively. By our observation, there existed (m2+m) rounds impossible differentials in CAST256SP and (3m−3) rounds impossible differentials in MARSSPS (this result does not require the P layer to be invertible). When the diffusion layer satisfied some special conditions, CAST256SPS had (m2+m−1) rounds impossible differentials and MARSSPS had (3m−3) rounds impossible differentials.
In current higher vocational college, the computer aided teaching is widely used, but the stu dents have low interest in reading the professional book. Aimed to this problem, the comput er aided teaching platform is extended to the network, through the forum, micro-blog and email and other means, the students can acquire teaching resources whenever and wherever in possible. The three dimensional interactive teaching model is formed to promote the students' interesting in professional knowledge learning. Through the analysis of the survey of 146 c ollege students, following conclusions can be obtained: the computer aided teaching networkp latform can improve the interest of students in reading professional books, the interesting tea ching courseware with rich content can improve subjective learning interest of students, it ha s good application value in teaching practice. The students accept expansion network teachin g platform have higher interesting in reading professional books than the students accept rea ding paper books.
In the high power industrial control network, due to the large user base, the data traffic is plodding, the data formats are inconsistent, the network data storm is difficult to monitor. A kind of high power industrial control network data monitoring and control system is designed under non-uniform formats. The network node information collector is designed, the data is collected, and the data collection result is taken as the mathematical expectation, the mathematical expectation is trained. The problem of data flow storm statistics is solved. In the system, the format conversion function is added, data storm monitoring results is taken with the format conversion, and they are stored as text format. The monitoring program reads and displays the result, the difficulties brought by the format is not unified are solved. System test results show that the system can monitor the large power industrial control network data storm, the monitoring result is precise, and it can make the formatting process fast. A size of the generated result file is 18.1%, of the original file, and can fully reflect the network data storm characteristics, the effect is perfect.
Abstract. In the detection process of server network storm attack, the traditional method takes the signal detection algorithm, because the attack number is large, the detection error is big. According to the problem, an improved server network storm attack detection method is proposed based on improved density clustering algorithm, the server network storm attack detection problem is transformed into a multi class classification problem, wrapper features selection model is taken, IDBC network connection record distance calculation method is combined, based on DBSCAN clustering results, the data clustering and attack detection is obtained. Simulation results show that, the improved density clustering algorithm is applied in detection of server network storm attack, it can reduce the detection error, the performance of the detection system is improved.
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