Anonymization of private data in a case management system at Ida Infront AB

At Ida Infront, we are creating the future's digital society with iipax – the tool for digitally smart authorities.

We are a well-established company that provides IT solutions with the aim to simplify and streamline everyday tasks for various authorities and administrations in the Nordic. Based on our inhouse-developed product iipax, we offer functions for safe information exchange, efficient case management and sustainable e-archiving. Today, we are around 130 people working at our offices in Linköping, Stockholm and Mumbai, India.

We’ve had a long history of welcoming students to our team, as they take on both master's thesis and summer projects. This collaboration is partly about telling you who we are, but it’s also an opportunity to offer you a chance to practice your skills in real scenarios. In fact, all tasks and projects we offer students are real problems and/or issues that we want to investigate and/or solve. We were founded in the 80's, as a spin-off from Linköping University, and many of our employees has begun their careers by doing their master thesis at Ida Infront. And we are very proud that many of them are still a part of our team today!

Background & Need

As internet services become increasingly present, the quest for internet privacy continues to grow. In recent years, various laws like GDPR, that standardize how private information must be handled, has been dictated. This affects each authority and increases the focus on the management and anonymization of private data.

Are there systems and methods that can be used within the domain authorities in Sweden that provide sufficient accuracy and reliability that should be useful?

The task

  • Investigate which systems that exists and evaluate whether the results of an anonymization work well on documents and information that exist at a normal Swedish authority.
  • Investigate whether existing systems can be trained with Swedish conditions to get a better result.
  • Investigate whether the system can identify data other than personal data such as locations, positions or phone numbers.

The thesis involves using an existing dataset with unstructured data in form of a few thousand documents from a Swedish authority. The focus of the thesis should be on methods that use Natural Language Processing (NLP) for the identification of personal data NER (Named Entity Recognition).

About you

We are looking for a person with a problem-solving mindset and an overall positive attitude. You are a Swedish citizen (this is a requirement from our customers) and communicate freely in both Swedish and English.

Attention: Often you need a pre-approval from your university or study counselor, to ensure that projects or thesis found on SH Karriär will be accepted as part of your education. Please contact the right entity in due time to ensure that you're picking the right project.