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How APIs Are Both the Illness and the Cure: The Software Heterogeneity Problem in Modern Web Applications

Published: 09 November 2020 Publication History

Abstract

It is easier than ever before to build complex web applications that handle sensitive user data. At same time, regulatory shifts have made data breaches more costly than ever before.
While starting Akita, I discovered just how difficult it is for software teams to maintain an up-to-date picture of how sensitive data flows across complex applications. A major challenge is that modern web applications run across many heterogenous components, often communicating via remote procedure calls. Unfortunately, network calls subvert all known software analysis methods for the application layer---and using network tools alone do not yield the full picture. The result is that developers end up piecing the whole story together through reading code, logs, and documentation.
At Akita, we observed that network-based application programming interfaces (APIs) are both a root cause of what we call the Software Heterogeneity Problem---and also the key to the solution. The proliferation of APIs for both internal and external use, with the rise of service-oriented architectures and the growth of the API economy, have made it easy to quickly build applications that are amalgams of cross-service network calls. At the same time, there is consolidation around a handful of interface definition languages for web APIs. This makes it possible for us to address the Software Heterogeneity problem by applying programming languages techniques at the API layer.
In this talk, I will introduce the Software Heterogeneity Problem and its consequences, demonstrate one way to tackle it at the API layer, and outline API-level security problems I believe we can solve as a community.

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  1. How APIs Are Both the Illness and the Cure: The Software Heterogeneity Problem in Modern Web Applications

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    cover image ACM Conferences
    PLAS'20: Proceedings of the 15th Workshop on Programming Languages and Analysis for Security
    November 2020
    46 pages
    ISBN:9781450380928
    DOI:10.1145/3411506
    Permission to make digital or hard copies of part or all of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for third-party components of this work must be honored. For all other uses, contact the Owner/Author.

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    New York, NY, United States

    Publication History

    Published: 09 November 2020

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    Author Tags

    1. apis
    2. data security
    3. software analysis

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