Singh, Karan Kumar, B S, Radhika, Shyamasundar, R K.
2021.
SEFlowViz: A Visualization Tool for SELinux Policy Analysis. 2021 12th International Conference on Information and Communication Systems (ICICS). :439—444.
SELinux policies used in practice are generally large and complex. As a result, it is difficult for the policy writers to completely understand the policy and ensure that the policy meets the intended security goals. To remedy this, we have developed a tool called SEFlowViz that helps in visualizing the information flows of a policy and thereby helps in creating flow-secure policies. The tool uses the graph database Neo4j to visualize the policy. Along with visualization, the tool also supports extracting various information regarding the policy and its components through queries. Furthermore, the tool also supports the addition and deletion of rules which is useful in converting inconsistent policies into consistent policies.
Banasode, Praveen, Padmannavar, Sunita.
2021.
Evaluation of Performance for Big Data Security Using Advanced Cryptography Policy. 2021 International Conference on Forensics, Analytics, Big Data, Security (FABS). 1:1—5.
The revolution caused by the advanced analysis features of Internet of Things and big data have made a big turnaround in the digital world. Data analysis is not only limited to collect useful data but also useful in analyzing information quickly. Therefore, most of the variants of the shared system based on the parallel structural model are explored simultaneously as the appropriate big data storage library stimulates researchers’ interest in the distributed system. Due to the emerging digital technologies, different groups such as healthcare facilities, financial institutions, e-commerce, food service and supply chain management generate a surprising amount of information. Although the process of statistical analysis is essential, it can cause significant security and privacy issues. Therefore, the analysis of data privacy protection is very important. Using the platform, technology should focus on providing Advanced Cryptography Policy (ACP). This research explores different security risks, evolutionary mechanisms and risks of privacy protection. It further recommends the post-statistical modern privacy protection act to manage data privacy protection in binary format, because it is kept confidential by the user. The user authentication program has already filed access restrictions. To maintain this purpose, everyone’s attitude is to achieve a changing identity. This article is designed to protect the privacy of users and propose a new system of restoration of controls.
Iskandar, Olimov, Yusuf, Boriyev, Mahmudjon, Sadikov, Azizbek, Xudoyberdiyev, Javohir, Ismanaliyev.
2021.
Analysis of existing standards for information security assessment. 2021 International Conference on Information Science and Communications Technologies (ICISCT). :1—3.
This article is devoted to the existing standards for assessing the state of information security, which provides a classification and comparative analysis of standards for assessing the state of information.
Li, Shuang, Zhang, Meng, Li, Che, Zhou, Yue, Wang, Kanghui, Deng, Yaru.
2021.
Mobile APP Personal Information Security Detection and Analysis. 2021 IEEE/ACIS 19th International Conference on Computer and Information Science (ICIS). :82—87.
Privacy protection is a vital part of information security. However, the excessive collections and uses of personal information have intensified in the area of mobile apps (applications). To comprehend the current situation of APP personal information security problem of APP, this paper uses a combined approach of static analysis technology, dynamic analysis technology, and manual review to detect and analyze the installed file of mobile apps. 40 mobile apps are detected as experimental samples. The results demonstrate that this combined approach can effectively detect various issues of personal information security problem in mobile apps. Statistics analysis of the experimental results demonstrate that mobile apps have outstanding problems in some aspects of personal information security such as privacy policy, permission application, information collection, data storage, etc.