73 citations · 169 across the 16 of their papers we have counts for
16 papers
Demystifying Feature Engineering in Malware Analysis of API Call Sequences
Tianheng Qu, Hongsong Zhu, Limin Sun +4
Machine learning (ML) has been widely used to analyze API call sequences in malware analysis, which typically requires the expertise of domain specialists to extract relevant featu…
Hierarchical Aligned Multimodal Learning for NER on Tweet Posts
Peipei Liu, Hong Li, Yimo Ren +4
Mining structured knowledge from tweets using named entity recognition (NER) can be beneficial for many down stream applications such as recommendation and intention understanding.…
LibAM: An Area Matching Framework for Detecting Third-party Libraries in Binaries
Siyuan Li, Yongpan Wang, Chaopeng Dong +8
Third-party libraries (TPLs) are extensively utilized by developers to expedite the software development process and incorporate external functionalities. Nevertheless, insecure TP…
Multi-Granularity Cross-Modality Representation Learning for Named Entity Recognition on Social Media
Peipei Liu, Gaosheng Wang, Hong Li +4
Named Entity Recognition (NER) on social media refers to discovering and classifying entities from unstructured free-form content, and it plays an important role for various applic…
CEntRE: A paragraph-level Chinese dataset for Relation Extraction among Enterprises
Peipei Liu, Hong Li, Zhiyu Wang +5
Enterprise relation extraction aims to detect pairs of enterprise entities and identify the business relations between them from unstructured or semi-structured text data, and it i…
Improving the Modality Representation with Multi-View Contrastive Learning for Multimodal Sentiment Analysis
Peipei Liu, Xin Zheng, Hong Li +4
Modality representation learning is an important problem for multimodal sentiment analysis (MSA), since the highly distinguishable representations can contribute to improving the a…
Multi-features based Semantic Augmentation Networks for Named Entity Recognition in Threat Intelligence
Peipei Liu, Hong Li, Zuoguang Wang +3
Extracting cybersecurity entities such as attackers and vulnerabilities from unstructured network texts is an important part of security analysis. However, the sparsity of intellig…
Threat Detection for General Social Engineering Attack Using Machine Learning Techniques
Zuoguang Wang, Yimo Ren, Hongsong Zhu +1
This paper explores the threat detection for general Social Engineering (SE) attack using Machine Learning (ML) techniques, rather than focusing on or limited to a specific SE atta…
Finding Taint-Style Vulnerabilities in Linux-based Embedded Firmware with SSE-based Alias Analysis
Kai Cheng, Tao Liu, Le Guan +4
Although the importance of using static analysis to detect taint-style vulnerabilities in Linux-based embedded firmware is widely recognized, existing approaches are plagued by thr…
SEIGuard: An Authentication-simplified and Deceptive Scheme to Protect Server-side Social Engineering Information Against Brute-force Attacks
Zuoguang Wang, Jiaqian Peng, Hongsong Zhu +1
This paper proposes an authentication-simplified and deceptive scheme (SEIGuard) to protect server-side social engineering information (SEI) and other information against brute-for…
Asteria: Deep Learning-based AST-Encoding for Cross-platform Binary Code Similarity Detection
Shouguo Yang, Long Cheng, Yicheng Zeng +3
Binary code similarity detection is a fundamental technique for many security applications such as vulnerability search, patch analysis, and malware detection. There is an increasi…
Discontinuous Named Entity Recognition as Maximal Clique Discovery
Yucheng Wang, Bowen Yu, Hongsong Zhu +3
Named entity recognition (NER) remains challenging when entity mentions can be discontinuous. Existing methods break the recognition process into several sequential steps. In train…
Social Engineering in Cybersecurity: A Domain Ontology and Knowledge Graph Application Examples
Zuoguang Wang, Hongsong Zhu, Peipei Liu +1
Social engineering has posed a serious threat to cyberspace security. To protect against social engineering attacks, a fundamental work is to know what constitutes social engineeri…
TPLinker: Single-stage Joint Extraction of Entities and Relations Through Token Pair Linking
Yucheng Wang, Bowen Yu, Yueyang Zhang +3
Extracting entities and relations from unstructured text has attracted increasing attention in recent years but remains challenging, due to the intrinsic difficulty in identifying…
XLBoost-Geo: An IP Geolocation System Based on Extreme Landmark Boosting
Yucheng Wang, Hongsong Zhu, Jinfa Wang +3
IP geolocation aims at locating the geographical position of Internet devices, which plays an essential role in many Internet applications. In this field, a long-standing challenge…
Using Intuitionistic Fuzzy Set for Anomaly Detection of Network Traffic from Flow Interaction
Jinfa Wang, Hai Zhao, Jiuqiang Xu +3
We present a method to detect anomalies in a time series of flow interaction patterns. There are many existing methods for anomaly detection in network traffic, such as number of p…