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Leveraging Binary Analysis to Secure the Internet of Things

Project description

Enhancing IoT security with binary analysis

The rapid pace of digitalisation and the transition to the Internet of Things (IoT) has resulted in a significant number of legacy devices connected to the internet. Despite the many benefits of this transition, it has also made both legacy devices and the IoT more susceptible to digital crime due to the lack of available solutions. Funded by the European Research Council, the BASTION project aims to address this issue by developing a research programme focusing on binary analysis techniques. The project aims to produce novel methods and technologies that can improve security within the IoT. To achieve this, it will design several useful technologies and methods focusing on software to provide crucial data for binary analysis-based security solutions.

Objective

We are in the midst of the shift towards the Internet of Things (IoT), where more and more (legacy) devices are connected to the Internet and communicate with each other. This paradigm shift brings new security challenges and unfortunately many current security solutions are not applicable anymore, e.g. because of a lack of clear network boundaries or resource-constrained devices. However, security plays a central role: In addition to its classical function in protecting against manipulation and fraud, it also enables novel applications and innovative business models.

We propose a research program that leverages binary analysis techniques to improve the security within the IoT. We concentrate on the software level since this enables us to both analyze a given device for potential security vulnerabilities and add security features to harden the device against future attacks. More specifically, we concentrate on the firmware (i.e. the combination of persistent memory together with program code and data that powers such devices) and develop novel mechanism for binary analysis of such software. We design an intermediate language to abstract away from the concrete assembly level and this enables an analysis of many different platforms within a unified analysis framework. We transfer and extend program analysis techniques such as control-/data-flow analysis or symbolic execution and apply them to our IL. Given this novel toolset, we can analyze security properties of a given firmware image (e.g. uncovering undocumented functionality and detecting memory corruption or logical vulnerabilities,). We also explore how to harden a firmware by retrofitting security mechanisms (e.g. adding control-flow integrity or automatically eliminating unnecessary functionality). This research will deepen our fundamental understanding of binary analysis methods and apply it to a novel area as it lays the foundations of performing this analysis on the level of intermediate languages.

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Topic(s)

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ERC-STG - Starting Grant

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Call for proposal

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(opens in new window) ERC-2014-STG

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Host institution

RUHR-UNIVERSITAET BOCHUM
Net EU contribution

Net EU financial contribution. The sum of money that the participant receives, deducted by the EU contribution to its linked third party. It considers the distribution of the EU financial contribution between direct beneficiaries of the project and other types of participants, like third-party participants.

€ 1 472 268,75
Address
UNIVERSITAETSSTRASSE 150
44801 Bochum
Germany

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Region
Nordrhein-Westfalen Arnsberg Bochum, Kreisfreie Stadt
Activity type
Higher or Secondary Education Establishments
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Total cost

The total costs incurred by this organisation to participate in the project, including direct and indirect costs. This amount is a subset of the overall project budget.

€ 1 472 268,75

Beneficiaries (1)

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