Results 21 to 30 of about 23,821 (231)
FastBCSD: Fast and Efficient Neural Network for Binary Code Similarity Detection
Binary code similarity detection (BCSD) has various applications, including but not limited to vulnerability detection, plagiarism detection, and malware detection. Previous research efforts mainly focus on transforming binary code to assembly code strings using reverse compilation and then using pre-trained deep learning models with large parameters ...
Chensen Huang +4 more
openaire +2 more sources
Third-party library (TPL) reuse may introduce vulnerable or malicious code and expose the software, which exposes them to potential risks. Thus, it is essential to identify third-party dependencies and take immediate corrective action to fix critical ...
Xiaoya Zhu +4 more
doaj +1 more source
Sensitive Data requires encryption before uploading to a public cloud. Access control based on Attribute-Based Encryption (ABE) is an effective technique to ensure data shared security and privacy in the public cloud. Cipher-Text Policy of ABE may suffer
Zahid Hussain Qaisar +4 more
doaj +1 more source
Cross-platform binary code similarity detection based on NMT and graph embedding
Cross-platform binary code similarity detection is determining whether a pair of binary functions coming from different platforms are similar, and plays an important role in many areas. Traditional methods focus on using platform-independent characteristic strands intersecting or control flow graph (CFG) matching to compute the similarity and have ...
Xiaodong Zhu, Liehui Jiang, Zeng Chen
openaire +3 more sources
A machine learningsemi-supervised method was developed for the classification analysis of defects on the surface of the sewer pipe based on CCTV video inspection images.
В’ячеслав Васильович Москаленко +4 more
doaj +1 more source
Understanding the AI-powered Binary Code Similarity Detection
AI-powered binary code similarity detection (BinSD), which transforms intricate binary code comparison to the distance measure of code embedding through neural networks, has been widely applied to program analysis. However, due to the diversity of the adopted embedding strategies, evaluation methodologies, running environments, and/or benchmarks, it is
Lirong Fu +7 more
openaire +2 more sources
Investigating Graph Embedding Methods for Cross-Platform Binary Code Similarity Detection
IoT devices are increasingly present, both in the industry and in consumer markets, but their security remains weak, which leads to an unprecedented number of attacks against them. In order to reduce the attack surface, one approach is to analyze the binary code of these devices to early detect whether they contain potential security vulnerabilities ...
Cochard, Victor +3 more
openaire +3 more sources
Epigenetic reprogramming of lineage switching in cancer
Cancer cells rarely commit to a single identity. Epigenetic mechanisms and tumor microenvironment cues push epithelial cells toward flexible, hybrid states that can shift into mesenchymal, neuroendocrine, or stem‐like fates, driving metastasis, drug resistance, and tumor heterogeneity. Targeting the epigenetic regulators behind these transitions, using
Ezgi Boyvatlı +4 more
wiley +1 more source
Circulating microRNAs as biomarkers of cachexia and sex‐specific cancer in senior dogs. In 25 client‐owned dogs, four circulating miRNAs (miR‐15a, miR‐15b, miR‐16, miR‐140) were downregulated in cachexia, with miR‐16 the strongest individual biomarker (AUC = 0.899).
Soon‐Seok Park +6 more
wiley +1 more source
A Firmware Code Gene Extraction Technology for IoT Terminal
With the development of the IoT technology, an unprecedented number of IoT terminals are connected to various networks. Commercial-off-the-shelf (COTS) technology is widely used in the IoT terminal firmware, which results in high code reuse rates.
Xinbing Zhu +3 more
doaj +1 more source

