impossible differential cryptanalysis of reduced-round aria and camellia

This paper studies the security of the block ciphers ARIA and Camellia against impossible differential cryptanalysis. Our work improves the best impossible differential cryptanalysis of ARIA and Camellia known so far. The designers of ARIA expected no impossible differentials exist for 4-round ARIA. However, we found some nontrivial 4-round impossible differentials, which may lead to a possible attack on 6-round ARIA. Moreover, we found some nontrivial 8-round impossible differentials for Camellia, whereas only 7-round impossible differentials were previously known. By using the 8-round impossible differentials, we presented an attack on 12-round Camellia without FL/FL 1 layers.

collision attack on reduced-round camellia

IEEE Computer Society

低轮FOX分组密码的碰撞-积分攻击

FOX是最近推出的系列分组密码，它的设计思想基于可证安全的研究结果，且在各种平台上的性能优良．本文利用碰撞攻击和积分攻击相结合的技术分析FOX的安全性，结果显示碰撞-积分攻击比积分攻击有效，攻击对4轮FOX64的计算复杂度是2^45.4，对5轮FOX64的计算复杂度是2^109.4，对6轮FOX64的计算复杂度是2^173.4，对7轮FOX64的计算复杂度是2^237.4，且攻击所需数据量均为2^9；也就是说4轮FOX64／64、5轮FOX64／128、6轮FOX64／192和7轮FOX64／256对本文攻击是不免疫的．

The Relationship between Decision Trees and the Scale of Train Data Set

Decision Trees need train samples in the train data set to get classification rules. If the number of train data was too small, the important information might be missed and thus the model could not explain the classification rules of data. While it is not affirmative that large scale of train data set can get well model. This Paper analysis the relationship between decision trees and the train data scale. We use nine decision tree algorithms to experiment the accuracy, complexity and robustness of decision tree algorithms. Some results are demonstrated.

Deep RNA sequencing at single base-pair resolution reveals high complexity of the rice transcriptome

Understanding the dynamics of eukaryotic transcriptome is essential for studying the complexity of transcriptional regulation and its impact on phenotype. However, comprehensive studies of transcriptomes at single base resolution are rare, even for modern organisms, and lacking for rice. Here, we present the first transcriptome atlas for eight organs of cultivated rice. Using high-throughput paired-end RNA-seq, we unambiguously detected transcripts expressing at an extremely low level, as well as a substantial number of novel transcripts, exons, and untranslated regions. An analysis of alternative splicing in the rice transcriptome revealed that alternative cis-splicing occurred in similar to 33% of all rice genes. This is far more than previously reported. In addition, we also identified 234 putative chimeric transcripts that seem to be produced by trans-splicing, indicating that transcript fusion events are more common than expected. In-depth analysis revealed a multitude of fusion transcripts that might be by-products of alternative splicing. Validation and chimeric transcript structural analysis provided evidence that some of these transcripts are likely to be functional in the cell. Taken together, our data provide extensive evidence that transcriptional regulation in rice is vastly more complex than previously believed.

maintaining only frequent itemsets to mine approximate frequent itemsets over online data streams

IEEE