A Review of Researching on Dynamic Taint Analysis Technique

Dai, Peiwu; Pan, Zhengqiang; Li, Yang

doi:10.2991/jimec-18.2018.25

Cited by 2 publications

(1 citation statement)

References 13 publications

(9 reference statements)

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“…Based on the above discussions, it is evident that integrated tools exhibit more prominent performance in terms of vulnerability coverage and detection accuracy. Detection tools that rely on a single detection method have certain limitations, such as the low path coverage in fuzzing [55], the path explosion in symbolic execution [56], and the challenges of over-tainting and under-tainting in taint analysis [57]. Integrated tools effectively integrate each method's strengths, address their deficiencies, and enhance the overall detection performance.…”

Section: Integration Capabilitiesmentioning

confidence: 99%

A Review of Approaches for Detecting Vulnerabilities in Smart Contracts within Web 3.0 Applications

Li,

Dang,

Yao

et al. 2023

Blockchains

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Smart contracts, programs running on a blockchain, play a crucial role in driving Web 3.0 across a variety of domains, such as digital finance and future networks. However, they currently face significant security vulnerabilities that could result in potential risks and losses. This paper outlines the inherent vulnerabilities of smart contracts, both those typical of their applications and those unique to Web 3.0 applications. We then systematically classify the techniques based on their core approach to detecting vulnerabilities in smart contracts. Using these approaches, we conduct a comparative analysis of existing tools in terms of their vulnerability coverage, detection effectiveness, open-source availability, and integration capabilities. Finally, we present the Co-Governed Sovereignty Multi-Identifier Network (CoG-MIN) as a case study to demonstrate the significance of smart contract application security in establishing a community with a shared future in cyberspace during the Web 3.0 era and anticipate future research directions with challenges. To conclude, this study addresses the gap in integrating existing smart contract security research with the advancement of Web 3.0 development, while also providing recommendations for future research directions.

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Section: Integration Capabilitiesmentioning

confidence: 99%

A Review of Approaches for Detecting Vulnerabilities in Smart Contracts within Web 3.0 Applications

Li,

Dang,

Yao

et al. 2023

Blockchains

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A Survey and Evaluation of Android-Based Malware Evasion Techniques and Detection Frameworks

Faruki

Bhan

Jain³

et al. 2023

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Android platform security is an active area of research where malware detection techniques continuously evolve to identify novel malware and improve the timely and accurate detection of existing malware. Adversaries are constantly in charge of employing innovative techniques to avoid or prolong malware detection effectively. Past studies have shown that malware detection systems are susceptible to evasion attacks where adversaries can successfully bypass the existing security defenses and deliver the malware to the target system without being detected. The evolution of escape-resistant systems is an open research problem. This paper presents a detailed taxonomy and evaluation of Android-based malware evasion techniques deployed to circumvent malware detection. The study characterizes such evasion techniques into two broad categories, polymorphism and metamorphism, and analyses techniques used for stealth malware detection based on the malware’s unique characteristics. Furthermore, the article also presents a qualitative and systematic comparison of evasion detection frameworks and their detection methodologies for Android-based malware. Finally, the survey discusses open-ended questions and potential future directions for continued research in mobile malware detection.

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A Review of Researching on Dynamic Taint Analysis Technique

Cited by 2 publications

References 13 publications

A Review of Approaches for Detecting Vulnerabilities in Smart Contracts within Web 3.0 Applications

A Review of Approaches for Detecting Vulnerabilities in Smart Contracts within Web 3.0 Applications

A Survey and Evaluation of Android-Based Malware Evasion Techniques and Detection Frameworks

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