A DDoS attack detection and mitigation with software-defined Internet of Things framework

D Yin, L Zhang, K Yang - IEEe Access, 2018 - ieeexplore.ieee.org
With the spread of Internet of Things' (IoT) applications, security has become extremely
important. A recent distributed denial-of-service (DDoS) attack revealed the ubiquity of …

Low-cost fabrication of paper-based microfluidic devices by one-step plotting

J Nie, Y Zhang, L Lin, C Zhou, S Li, L Zhang… - Analytical …, 2012 - ACS Publications
In this technical note, we describe a facile method for one-step fabrication of paper-based
microfluidic devices, by simply using commercially available permanent markers and metal …

Toward more accurate pan-specific MHC-peptide binding prediction: a review of current methods and tools

L Zhang, K Udaka, H Mamitsuka… - Briefings in …, 2012 - academic.oup.com
Lianming Zhang Lianming Zhang is a postgraduate student at the Shanghai Key Lab of
Intelligent Information Processing and School of Computer Science in Fudan University. His …

TEPITOPEpan: extending TEPITOPE for peptide binding prediction covering over 700 HLA-DR molecules

L Zhang, Y Chen, HS Wong, S Zhou, H Mamitsuka… - PloS one, 2012 - journals.plos.org
Motivation Accurate identification of peptides binding to specific Major Histocompatibility
Complex Class II (MHC-II) molecules is of great importance for elucidating the underlying …

A data-driven network intrusion detection system using feature selection and deep learning

L Zhang, K Liu, X Xie, W Bai, B Wu, P Dong - Journal of Information Security …, 2023 - Elsevier
Network intrusion detection system (NIDS) is an important line of defense for network security
as network attacks become more frequent. In this paper, we propose a data-driven NIDS …

LNTP: An end-to-end online prediction model for network traffic

L Zhang, H Zhang, Q Tang, P Dong, Z Zhao… - IEEE …, 2020 - ieeexplore.ieee.org
As network data keeps getting bigger, deep learning is coming to play a key role in network
design and management. Meanwhile, accurate network traffic prediction is of critical …

MANomaly: Mutual adversarial networks for semi-supervised anomaly detection

L Zhang, X Xie, K Xiao, W Bai, K Liu, P Dong - Information Sciences, 2022 - Elsevier
In network intrusion detection, since the available attack traffic is much less than normal traffic,
detecting attacks and intrusions from these unbalanced traffic can be a problem of semi-…

Mobility-aware and double auction-based joint task offloading and resource allocation algorithm in MEC

L Zhang, K Xiao, L Jin, P Dong… - IEEE Transactions on …, 2023 - ieeexplore.ieee.org
In mobile edge computing (MEC), task offloading and resource allocation are two important
issues that are inextricably linked. However, existing studies have either ignored the mobility …

Stochastic and robust truck-and-drone routing problems with deadlines: A Benders decomposition approach

M Deng, Y Li, J Ding, Y Zhou, L Zhang - Transportation Research Part E …, 2024 - Elsevier
Time-definite delivery service requires efficient and punctual delivery within specified deadlines.
Enhancing the service level of delivery in last-mile logistics prompted the application of …

Computation diversity in emerging networking paradigms

…, K Yang, HH Chen, L Zhang - IEEE Wireless …, 2017 - ieeexplore.ieee.org
Nowadays, computation is playing an increasingly more important role in the future generation
of computer and communication networks, as exemplified by the recent progress in SDN …