Zobrazeno 1 - 10
of 562
pro vyhledávání: '"Zhou, Jiajun"'
Lateral movement is a crucial component of advanced persistent threat (APT) attacks in networks. Attackers exploit security vulnerabilities in internal networks or IoT devices, expanding their control after initial infiltration to steal sensitive dat
Externí odkaz:
http://arxiv.org/abs/2411.10279
Graph Transformer (GT), as a special type of Graph Neural Networks (GNNs), utilizes multi-head attention to facilitate high-order message passing. However, this also imposes several limitations in node classification applications: 1) nodes are suscep
Externí odkaz:
http://arxiv.org/abs/2410.11189
Traditional anomalous traffic detection methods are based on single-view analysis, which has obvious limitations in dealing with complex attacks and encrypted communications. In this regard, we propose a Multi-view Feature Fusion (MuFF) method for ne
Externí odkaz:
http://arxiv.org/abs/2409.08020
Polymers play a crucial role in a wide array of applications due to their diverse and tunable properties. Establishing the relationship between polymer representations and their properties is crucial to the computational design and screening of poten
Externí odkaz:
http://arxiv.org/abs/2408.07556
The rampant fraudulent activities on Ethereum hinder the healthy development of the blockchain ecosystem, necessitating the reinforcement of regulations. However, multiple imbalances involving account interaction frequencies and interaction types in
Externí odkaz:
http://arxiv.org/abs/2408.00641
Autor:
Yao, Jiacheng, Wang, Maolin, Chen, Wanqi, Jin, Chengxiang, Zhou, Jiajun, Yu, Shanqing, Xuan, Qi
The wide application of Ethereum technology has brought technological innovation to traditional industries. As one of Ethereum's core applications, smart contracts utilize diverse contract codes to meet various functional needs and have gained widesp
Externí odkaz:
http://arxiv.org/abs/2407.00336
Autor:
Zhou, Jiajun, Chen, Xuanze, Gong, Shengbo, Hu, Chenkai, Jin, Chengxiang, Yu, Shanqing, Xuan, Qi
Ethereum has become one of the primary global platforms for cryptocurrency, playing an important role in promoting the diversification of the financial ecosystem. However, the relative lag in regulation has led to a proliferation of malicious activit
Externí odkaz:
http://arxiv.org/abs/2405.08278
Autor:
Wu, Lijin, Lei, Shanshan, Liao, Feilong, Zheng, Yuanjun, Liu, Yuxin, Fu, Wentao, Song, Hao, Zhou, Jiajun
As the number of IoT devices increases, security concerns become more prominent. The impact of threats can be minimized by deploying Network Intrusion Detection System (NIDS) by monitoring network traffic, detecting and discovering intrusions, and is
Externí odkaz:
http://arxiv.org/abs/2403.17980
Autor:
Song, Hao, Yao, Jiacheng, Li, Zhengxi, Xu, Shaocong, Jin, Shibo, Zhou, Jiajun, Fu, Chenbo, Xuan, Qi, Yu, Shanqing
Over the past few years, federated learning has become widely used in various classical machine learning fields because of its collaborative ability to train data from multiple sources without compromising privacy. However, in the area of graph neura
Externí odkaz:
http://arxiv.org/abs/2403.16004
Various parameter-efficient fine-tuning (PEFT) techniques have been proposed to enable computationally efficient fine-tuning while maintaining model performance. However, existing PEFT methods are still limited by the growing number of trainable para
Externí odkaz:
http://arxiv.org/abs/2402.11417