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The vulnerability analysis and scanning are playing a major key role in the evolution of network and cyber security for analyzing the weakness of data entry points while the data is transmitted from enterprise to cloud and cloud to enterprise. The vulnerability scan and analysis are very important to the enterprise for identifying their networking faintness, attacker-back doors, and router logs. The vulnerability scanning methods will be accomplished by the enterprise IT team and third-party security service provided with the implications of auditing and authentication rules. The insider threats and attacks can pretense a real defense risk to the various internal multi-tenants of various enterprises and companies. This paper has been composed of three major objectives as Analysis of insider attacking types along with their implications by the supporting attributes matrices; Description of prevention methods of insider attacks and threats; Execution of test-cases for avoiding various vulnerabilities and insider attacks. It has analyzed the risk factors which impacted based on enterprise-level roles, vulnerability type and supporting parameters for committing an inside attack. This research has described the efficient security scenario to avoid or reduce the vulnerabilities and insider attacking complexities. This research has explored the enterprise-level vulnerability scanning methods and process, which is more helpful for the cyber security learners for gaining in-depth knowledge of various device, network and operating system-based vulnerabilities and their supporting application-level affected files. The proposed methodology is evaluated using different operating systems framed with different VS models and test cases experimented, tested on various enterprise level centric servers with integration of eight multitenants, four head-tenants along with 152 end-users and achieved a 92 percent of success rate. Test cases are executed based on the type of attacks and threats with the vulnerability model for analyzing the nature of the attack, its cause, the region of the attacks and the data leakage percentage. This research is more helping the enterprise-level cyber security experts and managers to reduce the various vulnerabilities with relevant insider attacks by building an efficient monitoring intelligent system. [ABSTRACT FROM AUTHOR]

The cross platform UX/UI designs, frameworks will attain the targeted spectators rapidly since they are well-suited with numerous operating systems and devices. The greater part of the startup enterprises find it suitable due to its quick progress and turnaround time. The cross-platform UX/UI designs, frameworks are indisputably not only efficient and less unwieldy but beneficial in provisions of time-period, money and efforts. The recent cross platform development and UX/UI design core component based mobile app are involved, synchronized with thousands of third-party or non-third-party libraries which permit the web-developers to rapidly compose-build-deploy the web-applications and websites. The third-party libraries make available to the developers with the exceptional opportunities to incorporate reusable, pre-analyzed-tested software applications which save development of expansion-time, manpower, investment of infrastructure and cost, it allows the developers to focus on the core-components and features of the applications that matter to clients and end-users. But, most the third-party or non-third-party libraries are a source of security threats as vulnerability in one library can compromise an entire server. This research paper proposing integrating of rule based secure parameters for analyzing third-party applications and libraries in cross platform development. The integration of rule based secure parameters chains an effortless deployment of web hardening methods and access control the rule based parameters on interactions between libraries and their local cum global environment, including any dependent library. This research included various end-users, client based decision making-indicators with supporting affecting factors and data matrices which helps to take the accurate decisions to avoid or block unwanted libraries and plug-ins. This analytical research has experimented with more than five web environments by rule based secure parameters, affecting factors along with supporting data matrices. [ABSTRACT FROM AUTHOR]

This paper outlines the synthesis and characterization of Ni-Fe co-doped ZnO nanoparticles by facile solution combustion method. The structural characterization by XRD confirmed the phase purity of the samples. Surface morphology studied by scanning electron microscope revealed cubic type shape of grains. EDS analysis conformed the elemental composition. Higher value of DC electrical conductivity and less band gap for co-doped ZnO from UV-Vis studies confirmed the change in defect chemistry of ZnO Matrix. [ABSTRACT FROM AUTHOR]