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DECOMPILATION AND WAVELET-BASED EVALUATION DETECTED AVIONICS THE SUPPLY CHAIN NON-CONTROL FLOW INFEC

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International Research Journal of Engineering and Technology (IRJET)

e-ISSN: 2395-0056

Volume: 11 Issue: 03 | Mar 2024

p-ISSN: 2395-0072

www.irjet.net

DECOMPILATION AND WAVELET-BASED EVALUATION DETECTED AVIONICS THE SUPPLY CHAIN NON-CONTROL FLOW INFECTIONS LIKE MALWARE Gaurav Kumar Srivastava1, Mr. Sambhav Agarwal2 1M.Tech, Computer Science and Engineering, SR Institute of Management & Technology, Lucknow, India

2Assistant Professor, Computer Science and Engineering, SR Institute of Management & Technology, Lucknow

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Abstract - The avionics industry is becoming increasingly

wavelet-based evaluation, drawing from its rich history in signal processing and data analysis, has found novel applications in cybersecurity. As the avionics industry embraces increasingly complex software-driven functionalities, the need for innovative approaches to cybersecurity becomes more pressing. The integration of decompilation and wavelet-based evaluation represents a forward-thinking strategy to enhance the detection and mitigation of non-control-flow infections in avionics supply chain malware. By building upon this historical foundation of research and development, practitioners strive to bolster the resilience of aircraft systems against evolving cyber threats, ensuring the safety and security of aviation operations.

reliant on intricate software systems, which unfortunately makes them vulnerable to a range of cyber threats. One such threat involves malware that can be injected into the supply chain. While traditional detection methods have typically focused on control-flow analysis, they often overlook sophisticated non-control-flow infections. To combat this issue, a new approach has been proposed in a recent paper. This method integrates decompilation techniques and wavelet-based evaluation to enhance the detection of non-control-flow infections in avionics supply chain malware. By reverse-engineering binary executables through decompilation, high-level representations of code structures are extracted, which enables deeper inspection of potentially malicious behaviors.

The avionics industry stands at the forefront of technological innovation, continuously integrating sophisticated software systems to enhance the performance, safety, and efficiency of aircraft. However, this reliance on complex software also introduces vulnerabilities, making avionics systems prime targets for cyber threats. Of particular concern are malware infections introduced through the supply chain, which can compromise the integrity and security of critical avionics software.

In addition to this, wavelet-based evaluation provides a means to analyze signal characteristics of executable binaries. This facilitates the detection of anomalies indicative of non-controlflow infections. The experimental results presented in the paper demonstrate the effectiveness of this approach in identifying previously undetected malware variants with noncontrol-flow infections. The implications of these findings for the avionics industry are discussed, and future directions for research in this critical area of cybersecurity are proposed. Ultimately, it is crucial that new methods and technologies are developed to protect complex software systems from cyber threats like malware injected into the supply chain.

Traditional methods of malware detection often rely on control-flow analysis, which may overlook subtle, noncontrol-flow infections that evade detection. In response to this challenge, researchers have explored alternative approaches to enhance malware detection, with a focus on understanding and mitigating non-control-flow infections. Among these approaches, decompilation and wavelet-based evaluation have emerged as promising techniques for uncovering hidden malware within avionics software.

Key Words: Decompilation, Avionics, Supply Chain, Malware, Non-Control-Flow Infections, Cybersecurity, Wavelet-Based Evaluation, Binary Analysis, Reverse Engineering, Software Security.

Decompilation, the process of reverse-engineering machine code into higher-level programming languages, enables analysts to gain insights into the behavior of executable binaries. By decompiling avionics software, researchers can extract high-level representations of code structures, facilitating a deeper understanding of potential vulnerabilities and malicious behaviors. This technique holds great promise for detecting non-control-flow infections, which often manipulate code structures in subtle ways to evade traditional detection methods.

1. INTRODUCTION The history of decompilation and wavelet-based evaluation in the context of cybersecurity, particularly within the avionics industry, is a testament to the continuous evolution of techniques to safeguard critical systems. Decompilation, a longstanding method in reverse engineering, has been instrumental in analyzing malware and understanding its inner workings. This technique has been adapted and refined over the years to address the specific challenges posed by sophisticated threats targeting avionics software. Similarly,

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