most citedDistributed interaction between computer virus and patch: A modeling study

3 citations · 7 across the 6 of their papers we have counts for

collaborators

6 papers

cs.LG2023

Population-size-Aware Policy Optimization for Mean-Field Games

Pengdeng Li, Xinrun Wang, Shuxin Li +2

In this work, we attempt to bridge the two fields of finite-agent and infinite-agent games, by studying how the optimal policies of agents evolve with the number of agents (populat…

cs.CR2017

Defend against advanced persistent threats: An optimal control approach

Pengdeng Li, Lu-Xing Yang, Xiaofan Yang +3

The new cyber attack pattern of advanced persistent threat (APT) has posed a serious threat to modern society. This paper addresses the APT defense problem, i.e., the problem of ho…

cs.CR2017★ 2 cited

Security evaluation of cyber networks under advanced persistent threats

Lu-Xing Yang, Pengdeng Li, Xiaofan Yang +3

This paper is devoted to measuring the security of cyber networks under advanced persistent threats (APTs). First, an APT-based cyber attack-defense process is modeled as an indivi…

cs.SI2017★ 2 cited

Analysis of the effectiveness of the truth-spreading strategy for inhibiting rumors

Lu-Xing Yang, Pengdeng Li, Xiaofan Yang +2

Spreading truths is recognized as a feasible strategy for inhibiting rumors. This paper is devoted to assessing the effectiveness of the truth-spreading strategy. An individual-lev…

cs.SI2017★ 3 cited

Distributed interaction between computer virus and patch: A modeling study

Lu-Xing Yang, Xiaofan Yang, Qingyi Zhu +1

The decentralized patch distribution mechanism holds significant promise as an alternative to its centralized counterpart. For the purpose of accurately evaluating the performance…

cs.SI2017

Maximizing the overall profit of a word-of-mouth marketing campaign: A modeling study

Pengdeng Li, Xiaofan Yang, Lu-Xing Yang +3

As compared to the traditional advertising, the word-of-mouth (WOM) communications have striking advantages such as significantly lower cost and rapid delivery; this is especially…