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GANDPS: Ensuring Both Detection Precision and stability in GAN-based Anomaly Detection for Network Traffic 21

GANDPS: Ensuring Both Detection Precision and Stability in G...

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21st IEEE international symposium on Parallel and Distributed Processing with Applications, 13th IEEE international Conference on Big Data and Cloud computing, 16th IEEE international Conference on Social computing and Networking and 13th international Conference on Sustainable computing and Communications, ISPA/BDCloud/SocialCom/SustainCom 2023

作者： Li, Liuhuan Yang, Ximin Zhang, Xiao Yang, Yumeng Chen, Xuefeng Tang, Wan South-Central Minzu University School of Computer Science Wuhan China Key Laboratory of Cyber-Physical Fusion Intelligent Computing State Ethnic Affairs Commission China China Telecom Group GuiZhou Co. Ltd. Guiyang China

ISBN: (纸本)9798350329223

With the ever-growing network traffic and the vast amount of abnormal traffic being created, anomaly detection methods have attracted close attention in the cybersecurity domain. Generative adversarial networks (GANs) have been applied to network traffic anomaly detection, but obtaining high-precision and consistently stable detection results is still challenging for current methods. In the paper, we propose an improved GAN-based anomaly detection method called GANDPS for network traffic. The improved GAN introduces an encoder based on the original GAN, and a specialized layer is integrated into the encoder to process abnormal data. This improvement enables the encoder to effectively capture the features of normal data while distinguishing the features of abnormal data. In addition, an analogous reconstruction training strategy is employed between the generator and the encoder to balance the adversarial training between the generator and the discriminator, thereby improving the detection precision and stability of the GAN-based model. This comprehensive enhancement not only effectively elevates the detection performance of our method, but also ensures stable detection results. Experimental results on public datasets demonstrate that the proposed GANDPS outperforms multiple GAN-based methods in terms of detection precision, recall, and F1-score, and the detection results are stabilized within acceptable ranges. © 2023 IEEE.

关键词： Anomaly detection

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Joint Resource Placement and Service Replica Placement Scheme in Mobile Edge computing 21

Joint Resource Placement and Service Replica Placement Schem...

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作者： Woldeyes, Surafel Kifetew Zhang, Yongmin Wang, Wei Li, Zhaohui Central South University School of Computer Science and Engineering Changsha410083 China

ISBN: (纸本)9798350329223

Optimal resource placement and service placement are key factors for resource utilization and service availability in mobile edge computing (MEC) systems. However, efficiently utilizing the resources of MEC servers for service replica placement becomes a significant challenge due to the servers' limited resource capacity. To overcome this challenge, in this paper, we propose a comprehensive model for jointly addressing resource placement and service replica placement within the MEC system. The proposed model considers various factors, including the limited capacity of edge servers, the presence of service replicas, server failure probabilities, and the heterogeneous resource demand of services in terms of CPU, network bandwidth, and storage capacities. We then formulated the joint resource placement and service replica placement problem as a multi-objective optimization problem from the perspective of minimizing server resource waste, reducing server energy consumption, and ensuring high service availability. To solve this problem, we first proposed a resource-aware algorithm for the initialization process, which generates high-quality initial solutions that satisfy the server resource constraints. Then we propose an improved non-dominated sorting genetic algorithm II with two-phase chromosome representation to find a suitable placement solution. Evaluation results show the superiority of our approach compared with other benchmark algorithms in terms of minimizing service unavailability, resource waste, and energy consumption. © 2023 IEEE.

关键词： Energy utilization

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An Evaluation of Caret Navigation Methods for Text Editing in Augmented Reality 21

An Evaluation of Caret Navigation Methods for Text Editing i...

引用

21st IEEE international symposium on Mixed and Augmented Reality (ISMAR)

作者： Hu, Jinghui Dudley, John J. Kristensson, Per Ola Univ Cambridge Cambridge England

ISBN: (数字)9781665453653

ISBN: (纸本)9781665453653

A common task in text editing is navigating the text caret as part of the text editing process. We explore three key dimensions in the design space of caret navigation techniques: cursor placement method, visual expansion in the form of a magnifying lens, and display distance. In addition to two commonly used cursor placement methods, direct touch and raycast, we also present a novel multimodal text cursor placement method combining eye gaze and touch gestures for optical see-through augmented reality (AR). This method allows the user to refine the caret position with an indirect mid-air virtual touch block after the caret has snapped to a location provided by an initial eye fixation. We derive eight combinations from three design dimensions and study their performance in a user study with 24 participants. Our results reveal that: 1) raycast delivered the fastest completion times among all combinations evaluated;2) in near-field conditions the multimodal method can achieve similar performance as direct touch input with less physical effort;and 3) magnifying lenses offer no significant performance advantages for caret navigation in AR.

关键词： Human-centered computing-Human computer interaction (HCI)-Interaction techniques-Text input computing methodologies-computer graphics-Graphics systems and interfaces-Mixed / augmented reality

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Application of Improved Genetic Algorithm in Cruise Missile Route Planning 21

Application of Improved Genetic Algorithm in Cruise Missile ...

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21st international symposium on Distributed computing and Applications for Business Engineering and Science, DCABES 2022

作者： Zhang, Ju Liu, Yian Song, Hailing Jiangnan University School of Ai and Computer Science Wuxi China Naval Research Institute Beijing China

ISBN: (纸本)9781665454629

To address the shortcomings of the traditional genetic algorithm in cruise missile route planning, which is prone to 'premature maturation' and premature convergence to a local optimal solution, an improved genetic algorithm is proposed that introduces an adaptive operator and a variation ratio strategy. The algorithm processes the individual fitness values in the population by ranking ratio technique, and then adopts a selection strategy combining elite selection and roulette algorithm to add the feasible routes with the best fitness values directly to the children at each evolution, and then roulette selects the remaining feasible routes, which improves the global optimal search performance of the algorithm in the trajectory planning. Meanwhile, an adaptive crossover operator is used to dynamically select the crossover probability based on the individual fitness values of the parents. Finally, the two algorithms are applied to the established map model for route planning separately, and the simulation results show that the path solved by the improved genetic algorithm reduces three planning waypoints and 10.74 % of the range compared with the traditional genetic algorithm, and the global search performance of the route planning process applying the improved genetic algorithm is significantly better than that of the traditional genetic algorithm. © 2022 IEEE.

关键词： Genetic algorithms

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Resource Adjustment Processing on the DIKWP Artificial Consciousness Diagnostic System 25

Resource Adjustment Processing on the DIKWP Artificial Consc...

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25th IEEE international Conferences on high performance computing and Communications, 9th international Conference on Data Science and Systems, 21st IEEE international Conference on Smart City and 9th IEEE international Conference on Dependability in Sensor, Cloud and Big Data Systems and Applications, HPCC/DSS/SmartCity/DependSys 2023

作者： Wang, Yuxing Duan, Yucong Wang, Minhui Wei, Jiali Zhuang, Chunyu Liu, Yanfei School of Computer Science and Technology Hainan University Dikwp Research Group China Hainan Affiliated Hospital of Hainan Medical College China Haikou Hospital of the Maternal and Child Health China College of Intelligence and Computing Tianjin University China

ISBN: (纸本)9798350330014

Having confusion reduces the efficiency of human communication. Confusion arises from uncertainty during natural language interaction. To solve the confusion of doctor-patient communication in the medical field, we propose resource adjustment on the DIKWP Artificial Consciousness Diagnostic System(DIKWP-ACDS) to deal with uncertainty. With the DIKWP-ACDS, we uniformly map the dialogue text during doctor-patient communication to the Data, Information, Knowledge, Wisdom, and Purpose of the DIKWP model. In the process of intra-module and inter-module fusion and conversion of each type of resource, we adopt two methods of migration transformation and bias processing for the problems of incompleteness, inconsistency, and imprecision in the case of uncertainty. Moreover, we validate the effectiveness of the methods by comparing the purpose before and after resource adjustment. © 2023 IEEE.

关键词： Diagnosis

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Hierarchical Relative Lempel-Ziv Compression 21

Hierarchical Relative Lempel-Ziv Compression

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21st international symposium on Experimental Algorithms, SEA 2023

作者： Bille, Philip Gørtz, Inge Li Puglisi, Simon J. Tarnow, Simon R. Department of Computer Science and Applied Mathematics Technical University of Denmark Lyngby Denmark DTU Compute Technical University of Denmark Lyngby Denmark Finland Department of Computer Science University of Helsinki Finland

ISBN: (纸本)9783959772792

Relative Lempel-Ziv (RLZ) parsing is a dictionary compression method in which a string S is compressed relative to a second string R (called the reference) by parsing S into a sequence of substrings that occur in R. RLZ is particularly effective at compressing sets of strings that have a high degree of similarity to the reference string, such as a set of genomes of individuals from the same species. With the now cheap cost of DNA sequencing, such datasets have become extremely abundant and are rapidly growing. In this paper, instead of using a single reference string for the entire collection, we investigate the use of different reference strings for subsets of the collection, with the aim of improving compression. In particular, we propose a new compression scheme hierarchical relative Lempel-Ziv (HRLZ) which form a rooted tree (or hierarchy) on the strings and then compress each string using RLZ with parent as reference, storing only the root of the tree in plain text. To decompress, we traverse the tree in BFS order starting at the root, decompressing children with respect to their parent. We show that this approach leads to a twofold improvement in compression on bacterial genome datasets, with negligible effect on decompression time compared to the standard single reference approach. We show that an effective hierarchy for a given set of strings can be constructed by computing the optimal arborescence of a completed weighted digraph of the strings, with weights as the number of phrases in the RLZ parsing of the source and destination vertices. We further show that instead of computing the complete graph, a sparse graph derived using locality-sensitive hashing can significantly reduce the cost of computing a good hierarchy, without adversely effecting compression performance. © 2023 Schloss Dagstuhl- Leibniz-Zentrum fur Informatik GmbH, Dagstuhl Publishing. All rights reserved.

关键词： DNA sequences

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Wormholes in VR: Teleporting Hands for Flexible Passive Haptics 21

Wormholes in VR: Teleporting Hands for Flexible Passive Hapt...

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21st IEEE international symposium on Mixed and Augmented Reality (ISMAR)

作者： Ban, Reigo Matsumoto, Keigo Narumi, Takuji Kuzuoka, Hideaki Univ Tokyo Tokyo Japan

ISBN: (数字)9781665453257

ISBN: (纸本)9781665453257

Presenting haptic feedback in virtual reality (VR) is a long-standing challenge, with passive haptics being one way of presenting haptic feedback inexpensively. However, passive haptics requires props in physical environments that are co-located with their virtual counterparts, which is often not the case in the real world. Although redirected hands and other methods have previously been proposed to solve this problem, significant differences between the displayed and actual hand positions can cause the degradation of presence and sense of embodiment, limiting the range of presentable environments. In this study, we present a new hand displacement method called wormholes, in which the virtual hand is teleported discontinuously as the user inserts their hand into the hole. The experiment showed that the wormhole could maintain the sense of embodiment, presence, and task performance even with large hand displacements. Our method enables to apply passive haptics even when the actual and virtual environments are quite different, contributing to the realization of inexpensive and flexible haptic presentation in VR applications.

关键词： Human-centered computing Human computer interaction (HCI) Interaction paradigms Virtual reality Human-centered computing Human computer interaction (HCI) Interaction devices Haptic devices

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An analytic hierarchy process (AHP) based UAV selection mechanism for beyond 5G networks 21

An analytic hierarchy process (AHP) based UAV selection mech...

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21st IEEE international symposium on Network computing and Applications, NCA 2022

作者： Sridevi, S. Augustine, Jacob Ghosh, Shankar K. Presidency University Bangalore Department of Computer Science & Engineering Bangalore India Shiv Nadar Institution of Eminence Department of Computer Science & Engineering Delhi-NCR India

ISBN: (纸本)9798350397307

In beyond 5G (B5G) network, unmanned aerial vehicle (UAV) is considered as a promising solution to improve network coverage and satisfy the wide variety of service requirements. In B5G, mobile terminals (MTs) will be able to connect to UAVs flying in different altitudes and serving different classes of applications such as enhanced mobile broadband (eMBB), ultra reliable low latency communication (uRLLC) and security intensive applications such as security as a service (SaaS). It may be noted that UAVs in high altitude incur high power consumption, but reduced secrecy throughput and packet loss. In contrast, lower altitude UAVs incur high packet loss and secrecy throughput with reduced power consumption. Due to such trade-off and the fact that the traditional user association problem is NP hard, selecting an appropriate UAV to satisfy the user requirement is a computationally challenging task. In this work, an UAV selection mechanism has been proposed for UAV enabled B5G network based on analytic hierarchy process (AHP) which essentially captures the aforementioned trade-off while associating the MTs with the UAVs. The proposed AHP selects the best UAV based on the application class. Simulation results show that the proposed UAV selection mechanism outperforms the existing best downlink (BD) based approach in terms of user throughput, secrecy throughput and packet loss rate. © 2022 IEEE.

关键词： Quality of service

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Anomaly Detection in Battery Charging Systems: A Deep Sequence Model Approach 21

Anomaly Detection in Battery Charging Systems: A Deep Sequen...

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作者： Zheng, Li Ding, Donghui Li, Zhao Gao, Jun Xiao, Jie Chen, Hongyang Dustdar, Schahram Zhang, Ji The Key Laboratory of High Confidence Software Technologies Ministry of Education China Peking University School of Computer Science Beijing China Hangzhou Yugu Technology Hangzhou China East China Normal University Shanghai China Zhejiang Lab Hangzhou China Technical University of Vienna Austria University of Southern Queensland Toowoomba Australia

ISBN: (纸本)9798350329223

While the popularity of electric vehicles brings great convenience to our lives, battery charging also leads to an increase in accidents, resulting in personal injuries and economic losses. The methods currently embedded in charging hardware mainly focus on the short-term state of the battery and fail to leverage historical information effectively. The development of the Industrial Internet of Things (IIoT) enables data collection from sensors on industrial devices, which can be analyzed using deep learning methods to support sophisticated analysis. This paper proposes an intelligent and secure battery charging system in the IIoT that establishes an interaction between battery charging devices and cloud-based algorithms. A novel anomaly detection method is introduced to deal with anomalous charging sequences by making good use of historical data. We evaluate our system using real-life data from 4,940 batteries in electric vehicles, and our experiments achieve satisfactory results in detecting anomalies in battery charging. © 2023 IEEE.

关键词： Charging (batteries)

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MALT: Fine-Grained Microservice Profiling for Request Latency Anomaly Localization 25

MALT: Fine-Grained Microservice Profiling for Request Latenc...

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作者： Zhang, Dingjie Wu, Qinghua Zhao, Yuankang Li, Zhenyu He, Peng Zhang, Yongsu Duan, Xiongchun Zhang, Yu Miao, Gen Tong, Jiancong Xie, Gaogang Institute of Computing Technology Chinese Academy of Sciences Beijing China University of Chinese Academy of Sciences Beijing China Purple Mountain Laboratories Nanjing China ByteDance Beijing China Computer Network Information Center Chinese Academy Sciences Beijing China

ISBN: (纸本)9798350330014

Recent years have witnessed the shift of cloud datacenter architecture from monolithic to microservice. In microservice, request latency which fundamentally determines application performance, has become a crucial concern for cloud operators. Due to various issues with hosts, networks, and remote services, microservices can encounter anomalies when processing requests, causing sudden latency spikes and potential Service- Level Agreement (SLA) violations. Existing performance monitoring tools lack the ability of collecting performance data containing request-level semantics under low overhead. They also do not address the diverse threading models of microservices, posing challenges in locating Request Latency Anomalies (RLAs). This paper proposes MALT, a performance profiling tool that collects fine-grained, request-level data and locates RLAs in microservices. MALT hooks the critical functions when microser-vices process requests and extracts request-level semantic data from function parameters or packet payloads. To characterize the complex and diverse microservice threading behaviors, MALT maps the collected data to each request according to request-level semantics and models the request execution process of microservices as a Directed Acyclic Graph (DAG), from which the path with longest latency is extracted to locate RLAs. We apply MALT to an open-source microservice in an experimental network and a microservice deployed in a production network. Results show that MALT achieves an average precision of 93% in locating four types of RLAs. These results further guide the optimization of request latency in production microservice, where the average request latency is reduced by up to 41.8 % by the heuristic methods. © 2023 IEEE.

关键词： Semantics

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