A Synergetic Pattern Matching Method Based-on DHT Structure for Intrusion Detection in Large-scale Network

AbstractResearch in network security, with the attacks becoming more frequent, increasing complexity means, for the large-scale network intrusion detection, this paper presents a warning by analyzing the behavior of the log, the contents of the relevant association, through the DHT(Distributed Hash Table) distributed architecture, the Collabarative matching, fusion, and ultimately determine the method of attack paths. First, by improving the classical Apriori algorithm, greatly improving the efficiency of the association. At the same time, through the behavior pattern matching algorithms to extract information about the behavior of the alert and the behavior sequence elements to match the template, and through the right path to finally determine the value of the threat of the network path. After the design of a DHT network, the distributed collaborative match the path used to find complex network attacks. Finally, the overall algorithm flow, proposed a complete threat detection system architecture

Automatic recognition of radar signals based on time-frequency image shape character

Radar signal recognition is one of the key technologies of modern electronic surveillance systems. Time-frequency image provides a new way for recognizing the radar signal. In this paper, a series of image processing methods containing image enhancement, image threshold binarization and mathematical morphology is utilized to extract the shape character of smoothed pseudo wigner-ville time-frequency distribution of radar signal. And then the identification of radar signal is realized by the character. Simulation results of eight kinds of typical radar signal demonstrate that when signal noise ratio (SNR) is greater than -3 dB, the Legendre moments shape character of the time-frequency image is very stable. Moreover, the recognition rate by the character is more than 90 per cent except for the FRANK code signal when SNR > -3 dB. Test also show that the proposed method can effectively recognize radar signal with less character dimension through compared with exitsing algorithms.Defence Science Journal, 2013, 63(3), pp.308-314, DOI:http://dx.doi.org/10.14429/dsj.63.240

Ab initio study of the formation of transparent carbon under pressure

A body-centered tetragonal carbon (bct-Carbon) allotrope has been predicted to be a transparent carbon polymorph obtained under pressure. The structural transition pathways from graphite to diamond, M-Carbon, and bct-Carbon are simulated and the lowest activation barrier is found for the graphite-bct transition. Furthermore, bct-Carbon has higher shear strength than diamond due to its perpendicular graphene-like structure. Our results provide a possible explanation for the formation of a transparent carbon allotrope via the cold compression of graphite. We also verify that this allotrope is hard enough to crack diamond.Comment: [email protected] or [email protected]

Magnetic Borophenes from an Evolutionary Search

A computational methodology based on ab initio evolutionary algorithms and spin-polarized density functional theory was developed to predict two-dimensional magnetic materials. Its application to a model system borophene reveals an unexpected rich magnetism and polymorphism. A metastable borophene with nonzero thickness is an antiferromagnetic semiconductor from first-principles calculations, and can be further tuned into a half-metal by finite electron doping. In this borophene, the buckling and coupling among three atomic layers are not only responsible for magnetism, but also result in an out-of-plane negative Poisson\u27s ratio under uniaxial tension, making it the first elemental material possessing auxetic and magnetic properties simultaneously

Development of multiple real-time fluorescent pcr for detection of porcine parvovirus (ppv), porcine circovirus type 2 (pcv2) and haemophilus parasuis (hps)

Porcine Parvovirus (PPV) and porcine circovirus type 2 (PCV2) often have mixed infection in the process of clinical breeding, and PCV2 infection will cause immunosuppression in pigs, which is easy to stimulate or complicated with other infectious pathogens. Haemophilus parasuis (HPS) is a typical "opportunistic" pathogen, which often leads to mixed infection with PCV2 as a secondary pathogen. In order to establish a rapid and simultaneous detection of three pathogens of PPV, PCV2 and HPS, referring to the relevant genome sequence of GenBank, specific primers were designed according to the conserved region of VP2 gene of PPV, Cap gene of PCV2 and infB gene of HPS, and the amplified fragments were cloned into the vector to construct plasmid standard. Using standard samples with different dilutions as templates, adjusting primer concentration, annealing temperature and other conditions, a real-time fluorescence quantitative PCR method for PPV, PCV2 and HPS triple SYBR Green I was established. Three specific Tm peaks could be generated on the same melting curve without cross-reaction with other pathogens. The minimum detection limits of this method were 153 copies/μL, 128 copies/μL and 91 copies/μL, with good specificity and repeatability, which provided technical support for rapid diagnosis of these three diseases and could be used for clinical tissue material detection