Traditional coverage-based fuzzing gives equal attention to every part of a code. Despite much progress, we observe that existing schemes still not comprehensively use the coverage feedback mechanism when fuzzing bulk...
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ISBN:
(纸本)9798350381993;9798350382006
Traditional coverage-based fuzzing gives equal attention to every part of a code. Despite much progress, we observe that existing schemes still not comprehensively use the coverage feedback mechanism when fuzzing bulky JavaScript engines because of severe path collisions. To improve the precision of coverage feedback and target the vulnerable JIT compiler of Javascript engines, we presented our fuzzer, called LF(Light Fuzzer), a lightweight and high-precision fuzzer for bulky JavaScript engines fuzzing. First, LF advocates a technique to confine instrumentation to the JIT-related "critical functions" to mitigate collisions. Additionally, LF utilizes static analysis to establish dominant relationships between critical functions. Lastly, LF incorporates seed scheduling with feedback information of control flow at the function level to dynamically target JIT. These combined strategies make LF a lightweight and high-precision fuzzer for fuzzing bulky JavaScript engines. In our evaluation, LF outperforms the state-of-art coverage-guided JavaScript fuzzer DIE in different coverage types, and LF is also more effective in triggering unique crashes compared to DIE.
information Security is a buzz word today. Due to the emergence and recent developments of quantum computers, there is a possible threat on all present cryptographic methods. Researchers claim that once a powerful qua...
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The proliferation of the Internet and the emergence of social media platforms have greatly accelerated the speed and scope of information dissemination, while also introducing the peril of fake news propagation, parti...
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With the development and continuous iterative innovation of digital technologies represented by highperformance computing, computing power networks, mixed reality, blockchain, digital twins, and new generation AI tech...
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In the process of building a question answering system, the intention recognition of questions is an important step, and the accuracy of intention recognition has a great impact on the question answering system. In th...
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With the rapid evolution of 5G networks, ensuring robust cyber security measures has become imperative. 5G Network has become a pivotal technology within the new generation ecosystem, facilitating streamlined resource...
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The unprecedented amount of scientific data has introduced heavy pressure on the current data storage and transmission systems. Progressive compression has been proposed to mitigate this problem, which offers data acc...
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ISBN:
(数字)9798350352917
ISBN:
(纸本)9798350352924;9798350352917
The unprecedented amount of scientific data has introduced heavy pressure on the current data storage and transmission systems. Progressive compression has been proposed to mitigate this problem, which offers data access with on-demand precision. However, existing approaches only consider precision control on primary data, leaving uncertainties on the quantities of interest (QoIs) derived from it. In this work, we present a progressive data retrieval framework with guaranteed error control on derivable QoIs. Our contributions are three-fold. (1) We carefully derive the theories to strictly control QoI errors during progressive retrieval. Our theory is generic and can be applied to any QoIs that can be composited by the basis of derivable QoIs proved in the paper. (2) We design and develop a generic progressive retrieval framework based on the proposed theories, and optimize it by exploring feasible progressive representations. (3) We evaluate our framework using five real-world datasets with a diverse set of QoIs. Experiments demonstrate that our framework can faithfully respect any user-specified QoI error bounds in the evaluated applications. This leads to over 2.02x performance gain in data transfer tasks compared to transferring the primary data while guaranteeing a QoI error that is less than 1E-5.
With the increasing demand for convenient capture and 3D modeling, this paper provides an in-depth discussion on the portable photo modeling workflow based on cloud computingtechnology, aiming to solve the problem of...
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This study proposes a network security information transmission encryption model based on blockchain, aiming to solve the security and privacy protection problems of information transmission in modern networks. The mo...
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The increaing significance of plant life and botanical expertise extends beyond mere visual appreciation. With the growing interest in sustainable living and alternative remedies, there is a pressing demand for easily...
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