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Join Sunquest for a two-part webinar series focused on anatomic and digital pathology. Learn how LIS technology is advancing the work of today’s busy pathologist to support comprehensive, coordinated, efficient and high-quality care. 
A global specialty chemicals company was running Thermo Fisher Scientific SampleManager LIMS™ and Atlas CDS on an SQL server at a number of different sites to collect, store and report operational data. These systems were integrated with instruments, process control systems and SAP. The company initially used internal... 
Inference attacks occur when a (typically) malicious actor is able to infer from public information more sensitive information about a database or individual without directly accessing the original database or sensitive user information. That these sorts of attacks can be successful against applications and data on cloud-based infrastructure should not be a surprise to seasoned IT veterans. Recognizing these concerns, Jebali et al. examine the state of inference attacks in the cloud, the research that has been conducted so far on such attacks, and what can be done about them. Aside from examining a variety of security concerns in both communicating and non-communicating servers, the authors also address the inference problem, offering a potential solution that will in theory "optimize data distribution without the need to query the workload, then partition the database in the cloud by taking into consideration access control policies and data utility, before finally running a query evaluation model on a big data framework to securely process distributed queries while retaining access control." They conclude by recognizing more research must be done to test their proposed solution, and noting that past research has often overlooked other types of inference sources such as inclusion dependencies, join dependencies, and multivalued dependencies, which should be further examined.
This is a Curtin University course that is released on the edX platform. The five-week course is designed for students to "learn how to apply software solutions for different systems and big data needs to your IoT designs." The course is free to take, with a Verified Certificate of completion available for $149. This course is also part of Curtin's Internet of Things MicroMasters program. The course requires on average four to six hours a week of effort. Access to the class begins February 24, 2020.
