Data Loss Protection Research Articles

Can Strategically Prioritizing Ransomware Protection and Implementing Specific Recommended Actions Potentially Reduce the Effects of a Ransomware Attack on an Organization?

The purpose of this research study was to explore what can be learned by prioritizing for ransomware and data loss protection during organizational strategic planning to mitigate the negative effects of these events while identifying specific actions and recommendations organizations can take to mitigate the effects of ransomware and associated data loss. The problem addressed was that many organizations have become or will become victims of massive data losses caused by ransomware attacks because ransomware security controls and data loss prevention are not prioritized during strategic planning (Breckenridge, 2020). The methodology used was a qualitative metasynthesis which examined six case studies that were chosen as a representative set of organizations that have experienced common effects that are often felt in the aftermath of either a ransomware attack, poor strategic planning for cybersecurity controls, or data loss. The findings show the emergence of several themes including a common lack of strategic planning, the inability to recognize network anomalies leading to malware installations that resulted in data breaches, the lack of or misuse of security controls, and the heavy consequences suffered as a result of not putting effort into preventing the data breaches. Additional examination focused on the need for a proactive approach to data loss prevention which demands the attention of organizational leadership at the highest levels.

Forensic Investigation in SQL Server Database Using Temporal Tables & Extended Events Artifacts

Different Database management systems (DBMS) were developed and introduced to store and manipulate data. Microsoft SQL (MSSQL) Server one of the most popular relational DBMS used for large databases. With the increasing use of databases, intentional and unintentional accidents on databases are increasing dramatically. Therefore, there is a great need to develop database forensic investigation (DBFI) tools and models. The temporal table is a new feature introduced with MSSQL server 2012 for track changes, database audit, data loss protection, and data recovery. In addition, the extended events another new feature introduced with MSSQL server 2008 for database performance troubleshooting. This study focused on DBFI in the MSSQL server using temporal tables and extended events artifacts. The experiment is conducted and the results have presented the use of the temporal tables and extended events artifacts in analyzing and determining the internal unauthorized modification on the database.

Cloud security framework and key management services collectively for implementing DLP and IRM

A free and open-source framework management solution can help organizations as well as end-users. An agentless, completely controlled, centrally administered, and freely distributed source, cloud-based data leak control includes enhanced data loss protection management for both corporations and end-users. An Open-Source Framework in the cloud zone was used to construct the data loss prevention tool. This framework can be released under an Open License or a Free License, making it freely usable by end-users throughout the world. You can run it on any of these platforms: Linux, Windows, or UNIX. It relies on open database connectivity and MSSQL credentials for its database connectivity, although MySQL Server is used for database connectivity. As many as hundreds of individual files or thousands of multiple files can be accessed simultaneously by the Open User Data Loss Management Console, which can identify the case-sensitive information among them.

WITHDRAWN: Reduction in information loss due to isolated and dumb nodes using ant colony optimization for WSN

A Wireless Sensor Network is a collection of miniature devices known as Sensors that are intended for the purpose of sensing and sending data and information to the sink. They are used in various applications and in areas that require continuous monitoring such as military fields and medical cabins. The most critical issue or the important criteria regarding this WSN is energy conservation and lifetime maintenance. Although various clustering and routing mechanisms are proposed for WSNs, the problem remains unsolved and still it remains as a popular research topic. One such idea to improve the lifetime improvement is the effective usage of the isolated and dumb nodes in the network. Dumb nodes are different from the isolated ones. The nodes that continue sensing but unable to send the data is categorized as dumb nodes while the nodes that aren’t included into clusters are called isolated nodes. We have proposed a method known as RILoID-ACO (Ant Colony Optimization enriched scheme for Reduction in information loss in the occurrence of Dumb and isolated nodes) that enables the practice of mobile mule in collecting the data from isolated and dumb nodes by enhancing a trust parameter. Success probability of 100% and data loss protection over 19% is obtained as the result of simulation that shows the success of the proposed system.

Generational differences in valuing usefulness, privacy and security negative experiences for paying for cloud services

This study provides new evidence on the differences between generational cohorts in terms of the effects of technology-related attributes and previous negative privacy and security experiences on users’ propensity to pay for cloud services. Previous negative privacy and security experiences have been examined as a source of different protection behaviors, but little is known about their effect on payment for a premium version of the product or service. Results obtained from a sample of 2480 cloud users show that ubiquity, data loss protection and ease of sharing are relevant aspects for the likelihood of users from the Baby Boomer generation paying for cloud services; for younger users from the Millennial generation, access to greater online resources is the most important technology-related aspect. Previous negative security experiences have a greater impact on payment likelihood for users from Generation X, while privacy concerns are more important for younger Millennial users. The importance of having had a privacy problem in the past decreases as age increases. Cloud service providers and firms with a freemium price strategy should take account of different age cohorts when designing their value offering, emphasizing different aspects depending on the target market.

Proposed Data Loss Protection In Electronic Health Record

Proposed Data Loss Protection In Electronic Health Record