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Harpocrates: Simplifying Privacy in Programming

A tool that helps developers protect user data efficiently.

Sinan Pehlivanoglu, Malte Schwarzkopf

― 6 min read


Harpocrates: Code with Harpocrates: Code with Confidence developers. Revolutionizing data privacy for
Table of Contents

The internet is part of everyone's daily life. From ordering groceries to booking vacations, we share a lot of personal information online. This means that our private data travels through many servers, and the potential for leaks is high. A big player like Facebook generates a mind-boggling amount of user data every day.

Laws like GDPR give us some control over how our information is used and shared. However, dealing with privacy rules in big applications can feel like trying to solve a Rubik's Cube blindfolded. With these regulations constantly changing, it’s hard for developers to keep track and avoid mistakes that can lead to data leaks.

What is Harpocrates?

Let’s clear that up! Harpocrates is a tool that helps programmers protect user data while making things easier for themselves. Think of it as a friendly bouncer for your data, ensuring that only the right people get in while keeping everything else secure.

This tool works with Scala, a programming language. Harpocrates connects privacy rules directly to the data from the start, like putting on a protective cloak at the moment data is created. This helps avoid human errors and keeps privacy simple.

How Does It Work?

Harpocrates uses something called "oblivious membranes." These membranes wrap around the sensitive data, allowing it to move freely within the application, but enforcing rules when someone tries to peek or change that data. So, if the wrong person tries to access the information, Harpocrates raises a little alarm.

Imagine you’re at a party, and there's a VIP section. Everyone can move around freely until the moment someone tries to sneak into that special area. That's how Harpocrates helps developers keep personal information safe without bogging them down with endless rules.

Smart and Simple Code

Writing code with Harpocrates feels familiar and smooth. Developers can use their favorite libraries and write standard Scala code without extra headaches. The magic happens behind the scenes. For instance, when creating a data type, developers simply add special tags to let Harpocrates know it needs protection.

This means that even if a developer accidentally tries to let raw data slip through the cracks, Harpocrates keeps everything protected from the very beginning. It’s like having a safety net that sorts everything out without needing to think about the nitty-gritty all the time.

Evaluation Time!

To see how well Harpocrates works, it was tested on a real project called Vizion, which helps musicians manage their workflow. The team behind Harpocrates looked at how much extra code was needed to integrate it, as well as the time it took to run everything smoothly.

In total, Harpocrates took about 12.4% longer to compile than the regular application and about 39% more time to run. But, hey, these were just the initial numbers. A little extra time is a small price to pay for better security, right?

The interesting part is that this extra time could often be lower when compared to head-to-head manual privacy checks. For example, a developer would need to think carefully about where to add checks, and that often leads to mistakes. With Harpocrates, these worries are minimized.

Related Work

People have tried to tackle privacy issues in coding before, and Harpocrates builds on some of these ideas. Some developers use what's called a Privacy Monad, which is like putting a piece of data in a tiny box that keeps it safe. However, this method can still lead to mistakes if the developer forgets to keep everything in the box.

Others have used a method called Information Flow Control. This requires developers to add specific notes in the code to explain what privacy rules apply. While this approach can be good, it can also be a headache, leading to human error as developers may miss important spots.

Harpocrates takes the best bits of these methods and wraps them in a more user-friendly package. By focusing on centralizing the rules, Harpocrates reduces the chances of mistakes and simplifies the whole coding process.

The Steps to Use Harpocrates

Using Harpocrates is like following a recipe. Here’s how developers can get started:

  1. Define the Privacy Rules: Developers create a set of rules that show how the data should be protected. This involves writing a Policy Class that outlines the do's and don'ts for the particular data type.

  2. Mix it into the Constructor: This part is like mixing the icing into a cake batter. By adding the policy to the constructor of a class, every piece of data made from that class is automatically protected.

  3. Annotate: Developers then add specific notes that tell the compiler when to enforce these rules. This way, all checks are handled automatically, without needing to micromanage every line of code.

Once these steps are done, the compiler takes over. It ensures that all functions are checked for potential problems. If something feels off, the compiler raises an alert and keeps the data secure.

Keeping Things Fun with Scoped Controllers

Not every situation is the same. Sometimes, a publication might want to view their details without restrictions. This is where Scoped Controllers come in. Think of them as special passes that let the user bypass certain checks based on their context.

If a publication owner wants to peek at their own email, they can use a Scoped Controller to access that information without all the fuss. This allows for a more user-friendly experience while keeping everything secure.

Challenges and Future Work

While Harpocrates does a fantastic job of making privacy easier, there are still some challenges to face. For example, sometimes the privacy rules require information that can only be known at runtime. This could involve checking with databases or external services, which can lead to issues with how checks are performed.

In the future, the team hopes to offer better support for these situations and even tackle the idea of using Harpocrates in distributed systems. As data protection becomes more crucial, continued improvements are essential.

Conclusion

Harpocrates brings a fresh approach to programming with privacy in mind. It allows developers to focus on building their applications while keeping users' data safe. By integrating smart privacy checks directly into the code, Harpocrates makes it easier to follow regulations without getting lost in a sea of rules. It’s like having a trusty sidekick with a solid plan for keeping everything secure.

With more developments on the horizon, the future looks bright for making privacy simpler and effective in programming. So, let’s keep the data secure while we continue enjoying the party!

Original Source

Title: Harpocrates: A Statically Typed Privacy Conscious Programming Framework

Abstract: In this paper, we introduce Harpocrates, a compiler plugin and a framework pair for Scala that binds the privacy policies to the data during data creation in form of oblivious membranes. Harpocrates eliminates raw data for a policy protected type from the application, ensuring it can only exist in protected form and centralizes the policy checking to the policy declaration site, making the privacy logic easy to maintain and verify. Instead of approaching privacy from an information flow verification perspective, Harpocrates allow the data to flow freely throughout the application, inside the policy membranes but enforces the policies when the data is tried to be accessed, mutated, declassified or passed through the application boundary. The centralization of the policies allow the maintainers to change the enforced logic simply by updating a single function while keeping the rest of the application oblivious to the change. Especially in a setting where the data definition is shared by multiple applications, the publisher can update the policies without requiring the dependent applications to make any changes beyond updating the dependency version.

Authors: Sinan Pehlivanoglu, Malte Schwarzkopf

Last Update: 2024-11-20 00:00:00

Language: English

Source URL: https://arxiv.org/abs/2411.06317

Source PDF: https://arxiv.org/pdf/2411.06317

Licence: https://creativecommons.org/licenses/by/4.0/

Changes: This summary was created with assistance from AI and may have inaccuracies. For accurate information, please refer to the original source documents linked here.

Thank you to arxiv for use of its open access interoperability.

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