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Feng Dong

4 papers hereh-index 8410 citations11 works total

Matching runs newest-first, so older work may not be attached to this profile yet.

author position
  • first author2
  • middle author2

Across the 4 of 4 papers where every author was matched, so the position is known.

fields
  • cs.CR4
same name
  • Feng Dong — 5 papers, h 1
  • Feng Dong — 4 papers, h 4
  • Feng Dong — 3 papers, h 3
  • Feng Dong — 2 papers, h 2
  • Feng Dong — 2 papers, h 2
  • Feng Dong — 1 paper, h 3

Either other researchers who publish under this name, or the same person where the external sources have not merged their records.

identity via Semantic Scholar / OpenAlex

activity
20172023
most citedMadDroid: Characterising and Detecting Devious Ad Content for Android Apps

41 citations · 82 across the 4 of their papers we have counts for

collaborators

4 papers

cs.CR2023★ 39 cited

NODLINK: An Online System for Fine-Grained APT Attack Detection and Investigation

Shaofei Li, Feng Dong, Xusheng Xiao +6

Advanced Persistent Threats (APT) attacks have plagued modern enterprises, causing significant financial losses. To counter these attacks, researchers propose techniques that captu…

cs.CR2023★ 1 cited

Are we there yet? An Industrial Viewpoint on Provenance-based Endpoint Detection and Response Tools

Feng Dong, Shaofei Li, Peng Jiang +8

Provenance-Based Endpoint Detection and Response (P-EDR) systems are deemed crucial for future APT defenses. Despite the fact that numerous new techniques to improve P-EDR systems…

cs.CR2020★ 41 cited

MadDroid: Characterising and Detecting Devious Ad Content for Android Apps

Tianming Liu, Haoyu Wang, Li Li +6

Advertisement drives the economy of the mobile app ecosystem. As a key component in the mobile ad business model, mobile ad content has been overlooked by the research community, w…

cs.CR2017★ 1 cited

FraudDroid: Automated Ad Fraud Detection for Android Apps

Feng Dong, Haoyu Wang, Li Li +5

Although mobile ad frauds have been widespread, state-of-the-art approaches in the literature have mainly focused on detecting the so-called static placement frauds, where only a s…

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Not affiliated with arXiv. Researcher data from Semantic Scholar (ODC-BY) and OpenAlex.