Our enterprise and personal worlds are proliferated with many innovative mobile/cloud/social applications that touch all aspects of our lives, be it in retail, banking, logistics, shopping, media and others. These technological innovations may not have been possible without the availability of vast amounts of data generated by enterprises as well as individuals in their daily lives.
As data-driven intelligence continues to evolve, enterprise will find new ways to turn these data into knowledge. Enterprises want to build world-class data-driven innovations without sacrificing the privacy, security and integrity of their data. To that end, we are conducting ground-breaking applied research in three main areas:
In the midst of the technological revolution described above, enterprises are busy collecting personal information and location data (which could be just another form of personal information such as ones’ presence at a particular location) to offer value added services. Regardless of what services are provided; organizations are legally obligated to protect the privacy of their users, if they are using any personal information. In this project, we are developing methodologies, techniques and processes to protect the privacy of personal information.
Data is proved most valuable when it is collected and applied without losing its integral properties such as its origin context and timeline. Especially for enterprises, such meta-data from production and live systems (e.g., IoT devices) are critical for enhancing the production, products and performance for delivering superior experiences and innovations. Furthermore, in the century of Artificial Intelligence, when more and more business and personal decisions are based on data-model driven approaches, ensuring that those decisions are not biased is a key research challenge. In this project, we are developing technological solutions and data management processes that ensure data integrity.
Threats to data security has escalated by many folds as the value of data has grown enormously in recent years. Incidents of Heartbleed in 2014 and more recently Equifax data breach in 2017 have highlighted the negative impact of data security on various businesses as well as personal data privacy and security. In general, data security refers to the protection of data against unauthorized data access and/or corruption of data. Data security is also necessary to ensure the integrity of data. In this project we are developing state of the art techniques and policies for data protection.
Do you want to know more about our cutting-edge API management solution that enables enterprises with data governance? Contact us for more details about our research.