A survey on IoT & embedded device firmware security: architecture, extraction techniques, and vulnerability analysis frameworks

Author:

Ul Haq Shahid,Singh Yashwant,Sharma Amit,Gupta Rahul,Gupta Dipak

Abstract

AbstractIoT and Embedded devices grow at an exponential rate, however, without adequate security mechanisms in place. One of the key challenges in the cyber world is the security of these devices. One of the main reasons that these devices are active targets for large-scale cyber-attacks is a lack of security standards and thorough testing by manufacturers. Manufacturer-specific operating systems or firmware of various architectures and characteristics are typically included with these devices. However, due to a lack of security testing and/or late patching, the underlying firmware or operating systems are vulnerable to numerous types of vulnerabilities. Reverse engineering and in-depth research of the firmware is required to detect the vulnerabilities. In this paper, we've delved into various aspects of IoT and embedded devices. This includes a comprehensive survey on the architecture of firmware, techniques for firmware extraction, and state-of-the-art vulnerability analysis frameworks for the detection of vulnerabilities using various approaches like static, dynamic, and hybrid approaches. Furthermore, we’ve scrutinized the challenges of existing vulnerability analysis frameworks and proposed a novel framework to address these issues.

Publisher

Springer Science and Business Media LLC

Subject

General Earth and Planetary Sciences,General Energy

Reference98 articles.

1. Antonakakis M et al. (n.d.). Understanding the Mirai Botnet | USENIX. Retrieved September 30, 2021, from https://www.usenix.org/conference/usenixsecurity17/technical-sessions/presentation/antonakakis

2. The reaper botnet could be worse than the internet-Shaking Mirai Ever Was|WIRED. https://www.wired.com/story/reaper-iot-botnet-infected-million-networks/. Accessed 27 Nov 2017.

3. Van Den Broek F, Hond B, Cedillo Torres A. Security testing of GSM implementations. In: Engineering secure software and systems. Springer International Publishing; 2014. p. 179–95.

4. Eschweiler S, Yakdan K, Gerhards-Padilla E. discovRE: efficient cross-architecture identification of bugs in binary code. NDSS; 2017. https://doi.org/10.14722/ndss.2016.23185.

5. Cui, A., Costello, M., & Stolfo, S. J. When Firmware Modifications Attack: A Case Study of Embedded Exploitation; 2013. https://doi.org/10.7916/D8P55NKB

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