Devils in the Clouds: An Evolutionary Study of Telnet Bot Loaders

One of the innovations brought by Mirai and its derived malware is the adoption of self-contained loaders for infecting IoT devices and recruiting them in botnets. Functionally decoupled from other botnet components and not embedded in the payload, loaders cannot be analysed using conventional approaches that rely on honeypots for capturing samples. Different approaches are necessary for studying the loaders evolution and defining a genealogy. To address the insufficient knowledge about loaders' lineage in existing studies, in this paper, we propose a semantic-aware method to measure, categorize, and compare different loader servers, with the goal of highlighting their evolution, independent from the payload evolution. Leveraging behavior-based metrics, we cluster the discovered loaders and define eight families to determine the genealogy and draw a homology map. Our study shows that the source code of Mirai is evolving and spawning new botnets with new capabilities, both on the client side and the server side. In turn, shedding light on the infection loaders can help the cybersecurity community to improve detection and prevention tools.Comment: 10 pages, 5 figures, ICC 2023. arXiv admin note: text overlap with arXiv:2206.0038

An Improved Nishihara Model for Frozen Loess considering the Influence of Temperature

A series of triaxial creep tests under the constant confining pressure are performed on frozen loess specimens, and the creep behavior of the frozen loess with respect to variations in both temperature and deviator stress is examined. Experimental results illustrate that the frozen loess specimens present the attenuation creep at the lower deviatoric stress, whereas the nonattenuation creep under the higher deviatoric stress level, and with a drop in the temperature, the deviator stress value which the exhibition of nonattenuation creep needs will increase under the constant confining pressure condition. According to the microscopic analysis on deformation characteristics in the creep process of frozen soil, both temperature and external stress will cause the hardening and weakening effects, affecting the creep properties of frozen loess. By introducing the hardening variable and damage variable to consider the hardening and weakening effects of the frozen loess, an improved Nishihara model is proposed. The correlations between model parameters and the temperature as well as deviator stress are determined. The comparisons between model predictions and experimental results show that the improved creep constitutive model proposed here can not only describe the whole creep process well, but also reveal the influences of the temperature and deviator stress on the creep behavior of frozen loess, which demonstrate its accuracy and usefulness

Effect of etching stop layer on characteristics of amorphous IGZO thin film transistor fabricated at low temperature

Transparent bottom-gate amorphous Indium-Gallium-Zinc Oxide (a-IGZO) thin-film transistors (TFTs) had been successfully fabricated at relative low temperature. The influence of reaction gas ratio of N2O and SiH4 during the growth of etching stop layer (SiOx) on the characteristics of a-IGZO TFTs was investigated. The transfer characteristics of the TFTs were changed markedly because active layer of a-IGZO films was modified by plasma in the growth process of SiOx. By optimizing the deposition parameters of etching stop layer process, a-IGZO TFTs were manufactured and exhibited good performance with a field-effect mobility of 8.5 cm2V-1s-1, a threshold voltage of 1.3 V, and good stability under gate bias stress of 20 V for 10000 s

Does e-shopping for intangible services attenuate the effect of spatial attributes on travel distance and duration?

E-shopping for intangible services (e.g., eating out services, hairdressing, and visits to movie theatres) refers to searching and paying for services online, but it requires e-shoppers to travel to use these services. In theory, e-shoppers’ search space via the internet is less constrained by spatial attributes. As a result, spatial attributes may barely affect the distance and duration of trips resulting from e-shopping for intangible services. The present study used data from 714 valid face-to-face interviews in Beijing, China, to verify this hypothesis. The results showed that e-shoppers were likely to travel farther after purchasing intangible services online. The effect of spatial attributes on the distance of a single trip was largely attenuated due to online purchases of these services, and the effect on the duration was correspondingly weaker to a limited extent. Therefore, spatial interventions aiming to moderate travel distances and durations may not be as effective in the age of online shopping

Application of Minnan Folk Light and Shadow Animation in Built Environment in Object Detection Algorithm

To resolve the problems of deep convolutional neural network models with many parameters and high memory resource consumption, a lightweight network-based algorithm for building detection of Minnan folk light synthetic aperture radar (SAR) images is proposed. Firstly, based on the rotating target detection algorithm R-centernet, the Ghost ResNet network is constructed to reduce the number of model parameters by replacing the traditional convolution in the backbone network with Ghost convolution. Secondly, a channel attention module integrating width and height information is proposed to enhance the network’s ability to accurately locate salient regions in folk light images. Content-aware reassembly of features (CARAFE) up-sampling is used to replace the deconvolution module in the network to fully incorporate feature map information during up-sampling to improve target detection. Finally, the constructed dataset of rotated and annotated light and shadow SAR images is trained and tested using the improved R-centernet algorithm. The experimental results show that the improved algorithm improves the accuracy by 3.8%, the recall by 1.2% and the detection speed by 12 frames/second compared with the original R-centernet algorithm

High-precision and fast-response laser power stabilization system for cold atom experiments

An innovative and practical scheme of building laser power stabilization system is proposed by using external-control method. A high-speed Field Programmable Gate Array (FPGA) is used as real-time controller, which makes the closed-loop control period of only 4.175μs and response time for stabilizing process less than 90μs. The typical noises affecting the laser power is analyzed. Experimental results show that the system has a high stability improvement with stability of output laser keeps around 2‰ whether the input laser is free running or frequency scanning, which proves the competent performance to satisfy high request of laser power stability in cold atom experiments. What’s more, the laser power stabilization system can be embedded as a functional module into the FPGA based timing sequence system in cold atom interferometry, which makes the laser power be controllable accurately by the way of time sequence

Intelligent Explorations of Occupational Disease Prevention and Control in Coal Mine

Coal enterprises in high yield and high efficiency at the same time accompanied by a large number of occupational disease personnel, in order to continuously improve the operating environment of coal mining enterprises in each operation point, reduce occupational disease hazards, reduce the incidence of occupational diseases, to ensure the health and personal safety of operators, in recent years in China’s coal industry occupational disease incidence and occupational health management department changes on the basis of the basis of intelligent mine construction theory and technology, combined with the production and distribution of occupational disease hazard factors in various coal mine work sites, Through the comprehensive use of optimization of the equipment start-up process, the real-time monitoring technology of occupational disease hazard factors and the linkage of key equipment, the excavation of the long pressure short pumping system of the working surface, the establishment of a centralized control room, the exploration of the use of positive pressure fully enclosed helmets, active sound reduction technology, noise reduction headphones and other intelligent technologies and means, from the source control, process elimination, terminal control of the three dimensions of dust concentration and noise value to the coal mine safety regulations limit value, thereby improving the operating environment, reducing the incidence of occupational diseases, Maximize the health of operators throughout their careers and help coal companies achieve sustainable development