Using Graph Representation in Host-Based Intrusion Detection

Cybersecurity has become an important part of our daily lives. As an important part, there are many researches on intrusion detection based on host system call in recent years. Compared to sentences, a sequence of system calls has unique characteristics. It contains implicit pattern relationships that are less sensitive to the order of occurrence and that have less impact on the classification results when the frequency of system calls varies slightly. There are also various properties such as resource consumption, execution time, predefined rules, and empirical weights of system calls. Commonly used word embedding methods, such as Bow, TI-IDF, N-Gram, and Word2Vec, do not fully exploit such relationships in sequences as well as conveniently support attribute expansion. To solve these problems, we introduce Graph Representation based Intrusion Detection (GRID), an intrusion detection framework based on graph representation learning. It captures the potential relationships between system calls to learn better features, and it is applicable to a wide range of back-end classifiers. GRID utilizes a new sequence embedding method Graph Random State Embedding (GRSE) that uses graph structures to model a finite number of sequence items and represent the structural association relationships between them. A more efficient representation of sequence embeddings is generated by random walks, word embeddings, and graph pooling. Moreover, it can be easily extended to sequences with attributes. Our experimental results on the AFDA-LD dataset show that GRID has an average improvement of 2% using the GRSE embedding method comparing to others.

Literary chronicle: on the problem of the institutional description of the activity of a literary organization

The article explores the boundaries of the term “literary chronicle”. The scientific community is beginning to take a more detailed interest in such a concept as a literary institution. Throughout the twentieth century, literary studies studied and described only individual periods in the history of literature. This development of individual periods of the century helped to create the necessary theoretical tools for analytical work on the study of the socio-cultural process in society. For many years, the very attempt to understand the literary process as a phenomenon encountered terminological blurring. The accumulated knowledge of historical literary studies allows us to raise as a problem of scientific research a chronicle description of the life of a literary organization, which is understood as a structural association of creative people (on the example of individual facts of the existence of All-Russian Association of Proletarian Writers). It is the socio-institutional description of the life of the literary community of Russia in the 1920s that allows us to feel the communicative space of the country in which cultural processes take place. Another important aspect in the study of the chronicle of a literary institution is its existence in everyday life, that is, its existence in everyday life. With the frequency of meetings of members of the structural association. In this case, the scattered facts of everyday life become a historical stream of events.

Genetic analysis and cross associations of strawberry (Fragaria × ananassa) genotypes and morpho-biochemical features: a practical breeding program

The success of plant breeding depends on diversity in plant genetic resources and their responses to changing environments. In this regard, twenty strawberry genotypes with altered genetic background were evaluated for their performance under different environments based on the estimation of their genetic variability and heritability. Furthermore, genetic distances and associations were assessed by using data mining techniques. The combined ANOVA results showed that environmental factors have great influences on changing the values’ size of the measured-traits. Also, high heritability and genetic variation were detected for yield and its components showed a high potential for improvement among the strawberry genotypes and being considered as raw materials in breeding programs. The biplot and heatmap, in line with clustering, showed to be key methods for finding about the structural association among genotypes, the measured-traits, and their cross relationships and their influences on one another simultaneously. Cluster analysis showed that the genotypes of the same geographic origin did not necessarily group in the same clusters which could be due to the environmental variability and the different responses of the genotypes coming from altered genetic materials. The overall results regarding multivariate analyses showed that genotypes Kurdistan, Queen Elisa, and No.14 could be considered as a cluster with high similarity for being crossed by other genotype in the clusters such as groups of Pajaro and Chandler, or the group of Silva and Gaviota.

Structural Symmetry of DNA Nucleotides and Steroid Hormones

DNA is comprised of important structural characteristics, which include the complementary base pairs of adenine-thymine (A-T) and cytosine-guanine (C-G) that serve to initiate and code for transcription and translation into amino acids. Recently, structural analysis of DNA performed in this lab indicated that each DNA nucleotide complementary base pair is in perfect correspondence with the structure of the steroid molecule and steroid hormones. Here, detailed structural analysis and illustrations are presented to clearly support and extend this fundamental finding. The structural illustrations indicate that the DNA Nucleotide base pairs can achieve perfect alignment with steroid hormones, such that each of its functional groups can be assigned a purpose for binding, stabilization, and transcription regulation. The relation of the missing third hydrogen bond for A-T and T-A, relative to the three hydrogen bonds of C-G and G-C, is clearly shown to be found through its coupling with the class of corticosteroids like cortisol that have an oxygen group perfectly positioned for interaction with the available functional group of thymine. Thus the intermolecular coupling by hydrogen bonding of Cortisol-Thymine produces a strong complex. Moreover, the structural analysis of the end group couplings to an ionic linkage element, Ca2+ or Mg2+, demonstrate interaction with both the DNA phosphates as well as the oxygen element within the sugar. The relationships confirm a structural association of cortisol-like steroid hormones with A-T and T-A and a structural association of testosterone-like steroid hormones for G-C and C-G. Synthetic steroids are assessed, including prednisolone and dexamethasone, to indicate consistency of the functional group interactions with the DNA base pairs, phosphate, and sugar groups to support and confirm direct binding and structural correspondence of steroid hormones to DNA Nucleotides.