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 …
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
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 …
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 …
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
Motivation Accurate identification of peptides binding to specific Major Histocompatibility
Complex Class II (MHC-II) molecules is of great importance for elucidating the underlying …
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 …
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 …
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-…
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 …
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
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 …
Enhancing the service level of delivery in last-mile logistics prompted the application of …
Computation diversity in emerging networking paradigms
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 …
of computer and communication networks, as exemplified by the recent progress in SDN …