Multi-granularity context model for dynamic Web service composition

Niu, Wenjia; Li, Gang; Zhao, Zhiyang; Tang, Hui; Shi, Zhongzhi

doi:10.1016/j.jnca.2010.07.014

Cited by 22 publications

(7 citation statements)

References 21 publications

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“…In such attack, the spoofing is just a causing factor, while the mechanism of COP algorithm is the key. In comparison, for GPS spoofing attack, our work focuses on the revealing of algorithm-level security analysis caused by spoofing, not the security of GPS spoofing or context-aware sensing [21][22][23][24] itself.…”

Section: Defense Discussionmentioning

confidence: 99%

An Empirical Study on GAN-Based Traffic Congestion Attack Analysis: A Visualized Method

Xiang

Tong

et al. 2020

Wireless Communications and Mobile Computing

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With the development of emerging intelligent traffic signal (I-SIG) system, congestion-involved security issues are drawing attentions of researchers and developers on the vulnerability introduced by connected vehicle technology, which empowers vehicles to communicate with the surrounding environment such as road-side infrastructure and traffic control units. A congestion attack to the controlled optimization of phases algorithm (COP) of I-SIG is recently revealed. Unfortunately, such analysis still lacks a timely visualized prediction on later congestion when launching an initial attack. In this paper, we argue that traffic image feature-based learning has available knowledge to reflect the relation between attack and caused congestion and propose a novel analysis framework based on cycle generative adversarial network (CycleGAN). Based on phase order, we first extract four-direction road images of one intersection and perform phase-based composition for generating new sample image of training. We then design a weighted L1 regularization loss that considers both last-vehicle attack and first-vehicle attack, to improve the training of CycleGAN with two generators and two discriminators. Experiments on simulated traffic flow data from VISSIM platform show the effectiveness of our approach.

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Section: Defense Discussionmentioning

confidence: 99%

An Empirical Study on GAN-Based Traffic Congestion Attack Analysis: A Visualized Method

Xiang

Tong

et al. 2020

Wireless Communications and Mobile Computing

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“…By introducing a dynamic dimension into the description logic, DDL supports uniformly representing and reasoning about dynamic applications domains, which can be used as a basis of Web service composition [13]. DDL includes TBox, ABox, and ActBox.…”

Section: Dynamic Description Logicmentioning

confidence: 99%

Dynamic Description Logic Based Semantics Web Service Composition

Zhang¹,

Wang

Shi³

et al. 2013

2013 Ninth International Conference on Semantics, Knowledge and Grids

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Web service composition is one of the fundamental technologies in implementing Service Oriented Architecture (SOA) based applications. Description Logic based Web service composition can easily express the static knowledge, however it is lack the dynamic knowledge support. Dynamic Description Logic extends from Description Logic and it can represent both static and dynamic knowledge. In this paper, we propose a Web service composition method base on AI planning which introduce the action dimension to the Web service composition. Finally, we give a simple example to show the algorithm's validity.

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“…Due to the popularity, billions of socialnet users share their personal data and connect with friends and family through various devices and applications. Since the socialnet can be abstracted to a simple kind of graph with features of nodes and edges, many researchers have contributed their efforts to study socialnet and corresponding services based on graphand workflow-related approaches [4][5][6][7][8]. One of the most frequently applied tasks on graph data is node classification, the goal of which is to predict the labels of the remaining nodes when given a single large graph and the class labels of a few nodes [9].…”

Section: Introductionmentioning

confidence: 99%

Towards Revealing Parallel Adversarial Attack on Politician Socialnet of Graph Structure

Tian

Liu

Tong

et al. 2021

Security and Communication Networks

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Socialnet becomes an important component in real life, drawing a lot of study issues of security and safety. Recently, for the features of graph structure in socialnet, adversarial attacks on node classification are exposed, and automatic attack methods such as fast gradient attack (FGA) and NETTACK are developed for per-node attacks, which can be utilized for multinode attacks in a sequential way. However, due to the overlook of perturbation influence between different per-node attacks, the above sequential method does not guarantee a global attack success rate for all target nodes, under a fixed budget of perturbation. In this paper, we propose a parallel adversarial attack framework on node classification. We redesign new loss function and objective function for nonconstraint and constraint perturbations, respectively. Through constructing intersection and supplement mechanisms of perturbations, we then integrate node filtering-based P-FGA and P-NETTACK in a unified framework, finally realizing parallel adversarial attacks. Experiments on politician socialnet dataset Polblogs with detailed analysis are conducted to show the effectiveness of our approach.

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Multi-granularity context model for dynamic Web service composition

Cited by 22 publications

References 21 publications

An Empirical Study on GAN-Based Traffic Congestion Attack Analysis: A Visualized Method

An Empirical Study on GAN-Based Traffic Congestion Attack Analysis: A Visualized Method

Dynamic Description Logic Based Semantics Web Service Composition

Towards Revealing Parallel Adversarial Attack on Politician Socialnet of Graph Structure

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