Empirical study on multiclass classification‐based network intrusion detection

Early and effective network intrusion detection is deemed to be a critical basis for cybersecurity domain. In the past decade, although a significant amount of work has focused on network intrusion detection, it is still a challenge to establish an intrusion detection system with a high detection rate and a relatively low false alarm rate. In this paper, we have performed a comprehensive empirical study on network intrusion detection as a multiclass classification task, not just to detect a suspicious connection but also to assign the correct type as well. To surpass the previous studies, we have utilized four deep learning models, namely, deep neural networks, long short‐term memory recurrent neural networks, gated recurrent unit recurrent neural networks, and deep belief networks. Our approach relies on the pretraining of the models by exploiting a particle swarm optimization–based algorithm for their hyperparameters selection. In order to investigate the performance differences, we also included two well‐known shallow learning methods, namely, decision forest and decision jungle. Furthermore, we used in our experiments four datasets, which are dedicated to intrusion detection systems to explore various environments. These datasets are KDD CUP 99, NSL‐KDD, CIDDS, and CICIDS2017. Moreover, 22 evaluation metrics are used to assess the model's performance in each of the datasets. Finally, intensive quantitative, Friedman test, and ranking methods analyses of our results are provided at the end of this paper. The results show a significant improvement in the detection of network attacks with our recommended approach.     

Stability effect of some organic and inorganic additions in the EMITFSI–LiTFSI nanocomposite electrolytes for lithium-air batteries

Since the EMITFSI/LiTFSI electrolyte possess low viscosity, high ionic conductivity and thermal stability properties, in this study, 1M 1-ethyl-3-methyl-imidazoliumbis (trifluoromethanesulfonyl) imide (EMITFSI)/Lithium bis (trifluoromethanesulfonyl) imide (LiTFSI) based electrolytes were studied for Li-air battery cells. A series of electrolytes was studied with organic compound additions of Poly(ethylene oxide) (PEO) and polyvinylidene fluoride (PVDF). Nano Al₂O₃ particles with 50 nm in size were also used in 1.0 wt% as inorganic additive to provide stability of the polymer added electrolytes. The nanocomposite electrolytes were prepared in a glove box under dry argon atmosphere. Porous electrode, Gas Diffusion Layer (GDL), was used as cathode, a lithium disk was used as anode while glass fiber was used as the separator in ECC-air test cell. The cells were cyclically tested using 0.1 mA/cm² current density over a voltage range of 1.5–4.5 V. Electrochemical impedance spectroscopy measurements was applied to investigate the effect of the PVDF/Al₂O₃ and PEO/Al₂O₃ nano additives on the resistivity of the electrolyte. After the electrochemical cycling test, the morphologies of the cathodes (GDL) were analyzed using scanning electron microscopy, X-ray diffraction analysis to determine reaction products and lithium compounds during cycling test.     

A different method for producing a flexible LiMn2O4/MWCNT composite electrode for lithium ion batteries

A flexible lithium manganese oxide (LiMn₂O₄)/multi-wall carbon nanotube (MWCNT) composite electrode was produced by casting a slurry-containing powdered LiMn₂O₄ on a previously prepared MWCNT paper. The structure of this new LiMn₂O₄/MWCNT composite electrode was characterized using scanning electron microscopy and X-ray diffraction patterns. Furthermore, the surfaces of these electrodes were coated with gold–palladium alloy using an RF magnetron sputtering technique to prevent Mn dissolution. To investigate the electrochemical performance of this flexible LiMn₂O₄/MWCNT composite electrode, a bare-LiMn₂O₄ electrode was prepared. The discharge capacity of the produced LiMn₂O₄/MWCNT nanocomposite electrode was cyclically tested, and the charge transfer resistance of the electrodes was studied using electrochemical impedance spectroscopy. Consequently, the Au–Pd-coated LiMn₂O₄/MWCNT had a 120 mAh g^?1 discharge capacity and 90 % capacity retention after 100 cycles.     

Effect of salep as a hydrocolloid on storage stability of ‘İncir Uyutması’ dessert

Salep is a natural stabilizing agent used widely in Turkish-type Mara? ice cream and some milk desserts. The effect of salep addition on the storage stability of a representative ?ncir Uyutmas? dessert, prepared from whole cows’ milk, fig and sugar was studied. Dry matter, pH, viscosity, water-holding capacity (WHC), color properties (L*, a*, b* values), mineral matters (Al, Ca, Cu, Fe, K, Mg, Na, P and Zn), sensorial properties and microbial quality of desserts were affected by salep addition, sugar and fig concentrations. Salep addition caused an important increase in the viscosity and the WHC of dessert. Salep, sugar and fig improved the storage stability of the dessert.     

Determination of interfacial energies of solid Sn solution in the In–Bi–Sn ternary alloy

The equilibrated grain boundary groove shapes of solid Sn solution (Sn-40.14 at.% In-16.11 at.% Bi) in equilibrium with the In–Bi–Sn liquid (In-21.23 at.% Bi-19.04 at.% Sn) were observed from the quenched sample at 59 °C. Gibbs–Thomson coefficient, solid–liquid interfacial energy and grain boundary energy of the solid Sn solution have been determined from the observed grain boundary groove shapes. The thermal conductivity of solid phase for In-21.23 at.% Bi-19.04 at.% Sn alloy and the thermal conductivity ratio of liquid phase to solid phase at the melting temperature have also been measured with radial heat flow apparatus and Bridgman type growth apparatus, respectively.     

Does monetary support increase citation impact of scholarly papers?

Scientometrics - One of the main indicators of scientific development of a given country is the number of papers published in high impact scholarly journals. Many countries introduced...     

Tribological Properties of TiO<Subscript>2</Subscript> Reinforced Nickel Based MMCs Produced by Pulse Electrodeposition Technique

Nickel–TiO₂ composite coatings were prepared under pulse current conditions by co-deposition of TiO₂ particles and nickel from a Watts type bath. The effect of TiO₂ particle concentration was studied on microhardness, friction coefficient and wear resistance. The morphological features and the structures were studied by scanning electron microscope, X-ray diffraction analysis and 3D profilometry facilities. A wide particle size range (between 95 and 140 nm) was chosen to provide a high dispersion and load bearing ability for the co-deposited layers. It was determined that increasing the particle concentration in the electrolyte dramatically increased the co-deposited TiO₂ particles in the coating. The results showed that the high concentration of TiO₂ particles in the electrolyte yielded the highest amount of particles co-deposited in the plating layer. The influence of the co-deposited TiO₂ volume on microstructure and tribological properties in the coating were investigated. The wear tests were carried out using a constant load by a reciprocating ball-on disk configuration. Wear loss and friction coefficients of Ni/TiO₂ composites were decreased by increasing TiO₂ content in the electrolyte because of the increasing content of TiO₂ in the deposited layer. The change in wear mechanisms by changing TiO₂ content was also determined.