Quan Hong

dblp:231/1655 · DBLP profile ↗
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5ranked-venue papers
3as first author
4since 2021 · last 2024
0000-0002-2101-4589ORCID · reported

Domains — the database's venue-derived domains; a paper can count in several

Security and privacy · 2 · 2 first-author · 2 since 2021Artificial intelligence and machine learning · 1 · 1 since 2021Systems, architecture and hardware · 1Databases, data management, data science and information retrieval · 1 · 1 since 2021Theory of computation · 1 · 1 first-author · 1 since 2021
YearPublicationVenuePosition
2024 NanoHook: An Efficient System Call Hooking Technique with One-Byte Invasive
Quan Hong, Jiaqi Li 0014, Lidong Zhai
SETTA1
2024 Active Defense Research: A New Perspective Integrating Traps and Vulnerabilities
abstract
Active defense represents an asymmetric defensive strategy to reverse the imbalance between offense and defense. It primarily utilizes methods such as interference and deception to raise the cost of attacks and proactively identify potential threats. Within this field, active defense technologies leveraging deception tactics are regarded as a game-changer in cyber warfare. However, existing deception-based defense technologies predominantly focus on attack detection and mitigation, neglecting the possibility of fundamentally resolving the issue, namely preventing attacks by deterring potential adversaries. Recognizing vulnerabilities as the core of cyber warfare, this paper applies the concept of trap deception to vulnerabilities, proposing an active defense technique that confuses and deters attackers. This technique is triggered only when vulnerabilities are exploited, so it can detect, prevent, and trace attacks without impacting the program’s operation. This paper elaborates on the defensive philosophy of this technique and describes its implementation strategies. We argue that this approach holds significant promise in deterring attackers effectively, thereby mitigating the offensive-defense imbalance in cybersecurity.
Quan Hong, Lvyang Zhang, Lidong Zhai
TrustCom1
2023 An Encoder-Decoder Method with Position-Aware for Printed Mathematical Expression Recognition
Quan Hong
ICDAR (1)2
2023 Assessing the Effectiveness of Deception-Based Cyber Defense with CyberBattleSim
Quan Hong, Xizhong Guo, Pan Xie, Lidong Zhai
ICDF2C (2)1
2018 Experimental investigation of effect of tooth geometrical parameters to flow characteristics in slant labyrinth seals
abstract
Summary An experiment investigation was made to study the influence of the geometry parameters of slant straight‐through labyrinth seals on sealing characteristics. 22 models with different geometry parameters were designed, and the geometry parameters studied include seal clearance, fin height, fin pitch, fin tip thickness, and fin number. The results showed that, when p0/pn ranged from 1.2 to 1.8, the discharge coefficient increased with the drop pressure ratio, seal clearance, and fin tip thickness and decreased with fin height, fin pitch, and fin number. The rank of sensitivity of each parameter's variation in the unit size on sealing characteristics is seal clearance, fin tip thickness, fin pitch, back angle, fin height, and front angle. The correlation of different parameters were summarized for the designing of advanced labyrinth seals.
Bo Zhang 0023, Yuanyuan Dou, Quan Hong, Honghu Ji
Concurr. Comput. Pract. Exp.3