Analysing and Visualising Security and Usability in IRIS

This chapter presents an example outlining the process and results of a software security risk analysis. Unlike other types of security risk analyses, a software security analysis focuses on the design and implementation of the online application rather than the network and physical environment in which the application is deployed. An example is used to illustrate the benefits of a software security risk analysis and demonstrate how software security extends and complements conventional security and business risk analyses.

Network security risk assessment of football matches based on data mining technology

Chapter 1 - Domain 1: Information Security Governance and Risk Management

The main applications of AI technology in Internet finance include decision-making early warning, intelligent risk control, intelligent customer service, etc. Based on the above applications, this paper analyzes the security risks faced by Internet finance, including the intelligent evolution of hacker attacks, and self-learning that makes illegal intrusion difficult to detect, and then uses the deep learning algorithm to analyze the current defects, and the application effect of intelligent investment consulting is poor; Illegal acquisition or use of personal information makes it difficult to protect user privacy; There are security risks in intelligent risk control, and it is impossible to prevent risk control loopholes by antagonizing samples. On this basis, this paper uses deep learning to propose corresponding security management strategies from the four perspectives of algorithm, supervision, ethics and cooperation. The simulation results show that the algorithm proposed in this paper can effectively monitor its vulnerabilities.

Industries face challenges in achieving and maintaining economic and environmental sustainability indicators. The risks must be reduced in terms of time and the possibility of an accident. This work intends to apply tools to minimize operating costs with the reduction of the unloading cycle and with the risk analysis of this activity. The applied concepts and tools the study of times and movements, as well as the application of the LOPA tool for the success of this activity. The main intention is to prevent human error. This activity was applied in the case of a chemical industry in Brazil. It is including: (1) Operational context; (2) Scenario and Task Analysis; (3) Time Study; (4) Application of the LOPA; (5) Recommendations in the areas of checklist, automation, training, and task review. This job authorizes new activities and reduces the risk. An annual savings of 1.5 million in the local currency.KeywordLOPATimes and movementsRisk analysisChemical process industry

Information society is rapidity developing in the various fields of banking, trade, medical service, energy, and education using information system. Evaluation for security risk analysis should be done before security management for information system and security risk analysis is the best method to safely prevent it from occurrence, solving weaknesses of information security service. In this paper, modeling it did the CBR (case-based reasoning) evaluation function it will be able to establish the evaluation plan of optimum. CBR evaluation functions manage a security risk analysis evaluation at project unit. It evaluates the evaluation instance for beginning of history degree of existing. It seeks the evaluation instance which is similar and result security risk analysis evaluation of optimum about under using planning.

Advanced technologies can improve the efficiency of business processes, but incorrect system implementation can also become a huge source of damage. Therefore, the issue of IT security is very important. The concept of IT security has many aspects. One of them is security risk analysis, which must be considered by each system developer. The article describes one of the risk analysis methods - the CORAS method. The goal of research was to complete the risk analysis of the loan comparison platform. As a result, the risk mitigation recommendations were developed.

Application of AI Technology in Internet Finance and Analysis of Security Risks

By writing this paper a small effort has been put to understand the growing network needs and its security. Various types of network threats and security services are discussed. This will help in designing a secure and robust network infrastructure by discussing management security policies and risk analysis.

This chapter provides an overview of the psychological biases behind the striking gaps between perception and reality in four social domains—health, employment, the perception of security, and social ranking. Biases associated with cultural values are very relevant with respect to health and job satisfaction. Affect and availability heuristics are the dominant sources of bias in perceptions of security. The formation of subjective social rankings appears to be less culturally dependent and more dependent on the level of socioeconomic development of each country. Understanding the gaps between objective and subjective indicators may help clarify public debate on social policy.

Today several nations utilise risk based approaches in military planning. However, the discussion on limitations with the approaches in regard to aspects such as uncertainties, the nature of the threat and risk to civilians is limited. The aim of this work is to identify important challenges when applying risk based approaches to military activity. This article discusses risk based approaches in general and their military applications. Five generic quality requirements on risk analysis are presented from research in risk philosophy. Two military application areas for risk analysis: military intelligence, and risk management in legal assessments are analysed in relation to the presented quality requirements on risk analysis. From the analysis it is clear that risk analysis is an integral part of the decision-making analysis and cannot be separated in time, space or organisationally from the decision-making process in general. Defining the scenario to analyse, including the time span, is a central task in risk analysis and will affect every aspect of the risk estimation. Therefore, the principles for scenario definition must be communicated and continuously updated throughout the organisation. Handling the uncertainties throughout the process is also important, especially if the aim is a resilient military system.

Public Data Center is the Information Heart of the Government, this article focuses on security risk analysis, continuously deepens research on safety precautions and standard safety management systems, and establishes an overall framework for improving safety systems to ensure the safety and reliability of data centers.

It has been reported in the literature that about twenty new software vulnerabilities are reported weekly. This situation has increased the security awareness in the software community. Nowadays, software services are expected not only to satisfy functional requirements but also to resist malicious attacks. As demand for more trustworthy systems is increasing, the software industry is adjusting itself to security standards and practices by increasing security assessment and testing effort. Even though there is a consensus that better software engineering is to improve software quality in the early stage of software development, so far, various approaches that have been proposed to analyze and quantitatively measure the software security target, primarily show the finished software products in their operational life. There are few achievements on how to reduce or effectively mitigate the security risks faced by software products during the development process. In this chapter, the authors introduce a novel model-driven perspective on secure software engineering, which integrates seamlessly software security analysis with traditional software development activities. A systematic security engineering process that starts in the early stages of the software development process and spans the entire software lifecycle is presented. Fundamental software security concepts and analysis techniques are also introduced, and several illustrative examples are presented, with focus on security requirements and risk analysis.

The present study integrates external and internal factors for measuring the performance of the organisation through the adoption of cloud computing activities. External factors consisted of perceived IT security risk, risk analysis, and social influence; whereas, trust, technology innovation, and industry usage were considered as internal factors. A statistical approach, namely structural equation modelling, was employed for the analysis of the data obtained through a questionnaire survey. The findings showed that external factors hurt cloud computing adoption (CCA), whereas internal factors and perceived ease of use have a positive impact on CCA. This investigation is intended to guide the policy and decision makers in formulating the efficient strategies/policies for the effective implementation of CCA.

The STABALID project: Risk analysis of stationary Li-ion batteries for power system applications