Transition magnetic moment of Majorana neutrinos in the μν\mu\nuSSM

The nonzero vacuum expectative values of sneutrinos induce spontaneously R-parity and lepton number violation, and generate three tiny Majorana neutrino masses through the seesaw mechanism in the $\mu\nu$SSM, which is one of Supersymmetric extensions beyond Standard Model. Applying effective Lagrangian method, we study the transition magnetic moment of Majorana neutrinos in the model here. Under the constraints from neutrino oscillations, we consider the two possibilities on the neutrino mass spectrum with normal or inverted ordering.Comment: 20 pages, 2 figures, accepted for publication in JHEP. arXiv admin note: text overlap with arXiv:1305.4352, arXiv:1304.624

Automated Approach to Intrusion Detection in VM-based Dynamic Execution Environment

Because virtual computing platforms are dynamically changing, it is difficult to build high-quality intrusion detection system. In this paper, we present an automated approach to intrusions detection in order to maintain sufficient performance and reduce dependence on execution environment. We discuss a hidden Markov model strategy for abnormality detection using frequent system call sequences, letting us identify attacks and intrusions automatically and efficiently. We also propose an automated mining algorithm, named AGAS, to generate frequent system call sequences. In our approach, the detection performance is adaptively tuned according to the execution state every period. To improve performance, the period value is also under self-adjustment

The naturalness in the BLMSSM and B-LSSM

In order to interpret the Higgs mass and its decays more naturally, we hope to intrude the BLMSSM and B-LSSM. In the both models, the right-handed neutrino superfields are introduced to better explain the neutrino mass problems. In addition, there are other superfields considered to make these models more natural than MSSM. In this paper, the method of $\chi^2$ analyses will be adopted in the BLMSSM and B-LSSM to calculate the Higgs mass, Higgs decays and muon $g-2$. With the fine-tuning in the region $0.67\%-2.5\%$ and $0.67\%-5\%$, we can obtain the reasonable theoretical values that are in accordance with the experimental results respectively in the BLMSSM and B-LSSM. Meanwhile, the best-fitted benchmark points in the BLMSSM and B-LSSM will be acquired at minimal $(\chi^{BL}_{min})^2 = 2.34736$ and $(\chi^{B-L}_{min})^2 = 2.47754$, respectively