Occurrence Of Security Incidents Research Articles

Optimization Algorithm of Tourism Security Early Warning Information System Based on Long Short-Term Memory (LSTM).

Tourism safety is the focus of the tourism industry. It is not only related to the safety of tourists' lives and property, but also related to social stability and sustainable development of the tourism industry. However, the security early warning of many scenic spots focuses on the response measures and remedial plans after the occurrence of security incidents, and the staff of many scenic spots have limited security awareness and information analysis ability, which is prone to lag in information release, and do not pay attention to the information of potential security problems. Therefore, this paper studies the optimization algorithm of the tourism security early warning information system based on the LSTM model and uses the recurrent neural network and LSTM to improve the processing and prediction ability of time-series data. The experimental results show that the number of three hidden layers in the tourism security early warning information system based on the LSTM model can reduce the training time of the model and improve the performance. Compared with the tourism safety early warning information system based on the BP neural network, it has better accuracy and stability, has better processing and prediction ability for time series data, and can monitor and analyze data scientifically in real-time and dynamically analyze data.

Research on Digital Forensic Readiness Design in a Cloud Computing-Based Smart Work Environment

Recently, the work environments of organizations have been in the process of transitioning into smart work environments by applying cloud computing technology in the existing work environment. The smart work environment has the characteristic of being able to access information assets inside the company from outside the company through cloud computing technology, share information without restrictions on location by using mobile terminals, and provide a work environment where work can be conducted effectively in various locations and mobile environments. Thus, in the cloud computing-based smart work environment, changes are occurring in terms of security risks, such as an increase in the leakage risk of an organization’s information assets through mobile terminals which have a high risk of loss and theft and increase the hacking risk of wireless networks in mobile environments. According to these changes in security risk, the reactive digital forensic method, which investigates digital evidence after the occurrence of security incidents, appears to have a limit which has led to a rise in the necessity of proactive digital forensic approaches wherein security incidents can be addressed preemptively. Accordingly, in this research, we design a digital forensic readiness model at the level of preemptive prevention by considering changes in the cloud computing-based smart work environment. Firstly, we investigate previous research related to the cloud computing-based smart work environment and digital forensic readiness and analyze a total of 50 components of digital forensic readiness. In addition, through the analysis of the corresponding preceding research, we design seven detailed areas, namely, outside the organization environment, within the organization guideline, system information, terminal information, user information, usage information, and additional function. Then, we design a draft of the digital forensic readiness model in the cloud computing-based smart work environment by mapping the components of digital forensic readiness to each area. To verify the draft of the designed model, we create a survey targeting digital forensic field-related professionals, analyze their validity, and deduce a digital forensic readiness model of the cloud computing-based smart work environment consisting of seven detailed areas and 44 components. Finally, through an analytic hierarchy process analysis, we deduce the areas that should be emphasized compared to the existing work environment to heighten the forensic readiness in the cloud computing-based smart work environment. As a result, the weightings of the terminal information Universal Subscriber Identity Module(USIM) card, collect/gain virtual machine image, etc.), user information (user account information analysis, analysis of user’s used service, etc.), and usage information (mobile OS artifact timeline analysis, action analysis through timeline, etc.) appear to be higher than those of the existing work environment. This is analyzed for each organization to preemptively prepare for the components of digital forensic readiness in the corresponding areas.

How do primary care patients perceive information for involving themselves in self-care?

Background. Analyze if patients receive information from their GPs to engage in self-management (medication, physical exercise or diet). Methods. A descriptive study in which 2,401 randomly selected, primary care patients were interviewed by telephone. A short scale of 6 questions was used to analyze if they received information for self-care. Statistics included analyzing differences according to age, sex, occurrence of security incidents, whether they regularly attended the physician’s surgery and length of consultation time. Results . A total of 2,350 patients responded (97.9% response rate). A total of 1,253 (34.6%) of respondents obtained 5 or more points on the scale (percentile 50). Receiving information about foreseeable prognosis increased satisfaction (OR 11.2 (95% 8.3-15.3). Consultation time length (p<0.01), regularly visiting physicians (p<0.01), and not suffering an adverse event (p<0.01) were associated with higher scores on the scale. Conclusions . Patients report they receive directions for the proper management of medication at home, but claim that they receive less information to engage in healthy behaviors. Key words . Patient activation. Patient engagement. Patient safety. Medication. Health care quality.

How do primary care patients perceive information for involving themselves in self-care?

Analyze if patients receive information from their GPs to engage in self-management (medication,physical exercise or diet). A descriptive study in which 2,401 randomly selected, primary care patients were interviewed by telephone. A short scale of 6 questions was used to analyze if they received information for self-care. Statistics included analyzing differences according to age,sex, occurrence of security incidents, whether they regularly attended the physician's surgery and length of consultation time. A total of 2,350 patients responded (97.9%response rate). A total of 1,253 (34.6%) of respondents obtained 5 or more points on the scale (percentile 50).Receiving information about foreseeable prognosis increased satisfaction (OR 11.2 (95% 8.3-15.3). Consultation time length (p<0.01), regularly visiting physicians(p<0.01), and not suffering an adverse event (p<0.01)were associated with higher scores on the scale. Patients report they receive directions for the proper management of medication at home, but claim that they receive less information to engage in healthy behaviors.

Mining Association Rules Algorithm and its Application Based on Key Transactions

Some of the classic correlation algorithm (such as Apriori algorithm, fp-growth algorithm), and some other improved algorithms, mostly for the general case. In this paper, the prison system in the case, by the definition of key items, key issues, and give a targeted mining method. We get a lot of actual data in a prison in Hebei Province and analyze the date according our method, the results of the analysis applied to practical guidance. Experiments show that the model for predicting the efficiency of security incidents has reached more than 85% effective in reducing the occurrence of security incidents.

Research of E-Government Security Plan System

The e-government is an important content of the national government informational progress, it has far-reaching significance, it's security also faces many threats and challenges, it has frequent occurrence of security incidents. To control such a huge security risk and avoid huge losses, and protect the security of e-government, this paper constructs the e-government security plan system, in the design of the system, the security protection of e-government system and institution, emergency response system and mechanism are made as a major part of the design, security protection include security management and technology, and quantitatively analyze the security services performance assessment standards, and detailedly design security services performance assessment algorithm, and the algorithm is integrated into the security management and is verified by an instance, the plan system can do a better safety risk assessment, can control certain risks and losses.

Design and Application of Flexible Auxiliary Haulage System for Material Supply in Underground Coal Mine

In view of the problems existing in the present transportation ways of coal mine, a kind of new auxiliary haulage system has been designed, which can achieve the going there and back transportation only by using one winch in the multi-slope and undulating roadway. And according to the requirements of safety production of coal mine, the non-wheeled supply mine car without anti-car device and the safety interlock system of wheeled supply mine car have been designed. Meanwhile, finite element analysis software is adopted to check and analyze the locking pawl strength of the safety interlock system with wheeled supply mine car. The analyzing result shows that the locking pawl can completely stand the impact loading when the mine car sliding down. The haulage costs and the occurrence of security incidents have been reduced when the designed system is applied to coal mine. Engineering practice shows that the good results have been achieved.