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1st International Workshop on Network Meets Intelligent Computations, NMIC 2019

作者： Cheng, Guang Zhao, Lixia Hu, Xiaoyan Zheng, Shaoqi Wu, Hua Li, Ruidong Fan, Chengyu School of Cyber Science and Engineering Southeast University Nanjing211189 China Key Laboratory of Computer Network and Information Integration Ministry of Education of China Southeast University China Key Laboratory of Computer Network Technology of Jiangsu Province China National Institute of Information and Communications Technology Tokyo184-8795 Japan Computer Science Department Colorado State University Fort Collins United States

ISBN: (纸本)9781728143712

Interest Flooding Attack (IFA) is one of the main security threats for the Named Data Networking (NDN). Most of its existing countermeasures enable intermediate routers near the attackers to independently detect the attack and consider the typical attack scenario in which attackers directly send malicious Interests at a constant and relatively high rate. Moreover, they may also throttle legitimate Interests when enforcing the existing defence measures at intermediate routers as it is still difficult for them to distinguish the Interests issued by attackers from those issued by legitimate consumers. Instead, this work aims at a more sophisticated attack scenario in which attackers start the attack at a relatively lower rate but gradually speed up to keep the Pending Interest Tables (PITs) of the victims increasing to finally deplete the PIT resources for legitimate consumers. It is relatively difficult for intermediate routers to independently and timely detect such a sophisticated IFA. To solve this problem, we propose a mechanism to detect the sophisticated IFA from the network-wide view. A central controller monitors the network and makes a comprehensive and prompt decision on whether there is an ongoing IFA based on the overall state of the whole network collected from the abnormity information reports sent by the first-hop routers of attackers. Attack sources can be directly located after an IFA is determined and then the malicious Interests can be prevented from entering the network without throttling legitimate Interests. We conduct an experimental study to evaluate the performance of the proposed mechanism and explore the parameter settings of the attack detection algorithm at access routers. The experimental results validate that our mechanism can timely detect and mitigate the sophisticated IFA without throttling requests from legitimate consumers. © 2019 IEEE.

关键词： computer network security Internet telecommunication network routing Attackers Network security telecommunication network routing NDN gene incomplete Freund's adjuvant Interests Internets SYN flood THROTTLE VALVE Routers parameter setting

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Multipath based privacy protection method for data transmission in SDN 1st

Multipath based privacy protection method for data transmiss...

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1st EAI International Conference on Artificial Intelligence for Communications and Networks, AICON 2019

作者： Dong, Na Han, Zhigeng Wang, Liangmin School of Computer Science and Communication Engineering Jiangsu University Zhenjiang212013 China Jiangsu Key Laboratory of Security Technology for Industrial Cyberspace Zhenjiang China School of Information Engineering Nanjing Audit University Nanjing211815 China

ISBN: (纸本)9783030229702

With the development of Software-Defined Networking (SDN), privacy and security issues have become an urgent problem to be solved. Although there are many ways to solve these problems, the existing technology represented by encryption cannot effectively deal with traffic analysis attacks, and there are also key management problems. For this reason, we propose a privacy protection method for SDN data transmission based on multipath, including path searching procedure for searching for all paths between the sender and the receiver, and path filtering procedure for filtering out paths to reduce path correlation, and path selection procedure for randomly selecting one path to disturbed the traffic similarity between multiple transmission. The experiment results show that our method is more effective, less similarity of traffic compared with Multipath-Floyd method and single-path method, respectively. Moreover, it is difficult for attackers to capture the traffic feature and do not need key management, which reduces the cost of the controller. © ICST Institute for computer Sciences, Social Informatics and Telecommunications Engineering 2019 Published by Springer Nature Switzerland AG 2019. All Rights Reserved.

关键词： Data privacy

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A Lexicographic Bi-objective Scheduling Problem From Steel Production Systems

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IFAC-PapersOnLine 2020年第5期53卷 158-163页

作者： Ziyan Zhao MengChu Zhou Shixin Liu Xiwang Guo Haoyue Liu State Key Laboratory of Synthetical Automation for Process Industries College of Information Science and Engineering Northeastern University Shenyang 110819 China Department of Electrical and Computer Engineering New Jersey Institute of Technology Newark NJ 07102 USA College of Computer and Communication Engineering Liaoning Shihua University Fushun 113001 China

Wire rod and bar rolling is an essential process in a steel production system (SPS). This work considers a lexicographic bi-objective scheduling problem originated from it. As a medium process in SPS, both the impacts of its upstream process, i.e., release time constraints, and the requirements of its downstream process, i.e., due time constraints, on SPS performance, must be considered. The concerned problem aims to minimize the number of tardy tasks as a main objective and total setup time as a secondary one. It is solved via a two-stage method. The first-stage problem is handled with an off-the-shelf optimization software, and the second one with iterated greedy algorithms (IGAs). We compare the performance of IGAs under different strategies and select the best one to solve it. By comparing the experimental results an exact single-objective method’s, this paper shows that the proposed method can solve the problem fast with excellent results in terms of the number of tardy tasks and setup time, i.e., the secondary objective, on average. Its usage can result in significant performance improvement in steel production over the existing practice.

关键词： Batch process batch scheduling iterated greedy algorithm lexicographic bi-objective optimization steel production systems

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Self-Supervised Speech Denoising Using Only Noisy Audio Signals

arXiv

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arXiv 2021年

作者： Wu, Jiasong Li, Qingchun Yang, Guanyu Li, Lei Senhadji, Lotfi Shu, Huazhong LIST Key Laboratory of Computer Network and Information Integration Southeast University Ministry of Education Nanjing210096 China Jiangsu Provincial Joint International Research Laboratory of Medical Information Processing Southeast University Nanjing210096 China RennesF-35042 France The 28th Research Institute of China Electronics Technology Group Corporation Nanjing210007 China Univ Rennes INSERM LTSI UMR 1099 RennesF-35042 France

In traditional speech denoising tasks, clean audio signals are often used as the training target, but absolutely clean signals are collected from expensive recording equipment or in studios with the strict environments. To overcome this drawback, we propose an end-to-end self-supervised speech denoising training scheme using only noisy audio signals, named Only-Noisy Training (ONT), without extra training conditions. The proposed ONT strategy constructs training pairs only from each single noisy audio, and it contains two modules: training audio pairs generated module and speech denoising module. The first module adopts a random audio sub-sampler on each noisy audio to generate training pairs. The sub-sampled pairs are then fed into a novel complex-valued speech denoising module. Experimental results show that the proposed method not only eliminates the high dependence on clean targets of traditional audio denoising tasks, but also achieves on-par or better performance than other training strategies. Availability-ONT is available at https://***/liqingchunnnn/Only-Noisy-Training. Copyright © 2021, The Authors. All rights reserved.

关键词： Machine learning

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Cryptanalysis of key Exchange Protocol Based on Tensor Ergodic Problem

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China Communications 2018年第10期15卷 172-181页

作者： Chunsheng Gu Youyu Gu Peizhong Shi Chunpeng Ge Zhenjun Jing School of Computer Engineering Jiangsu University of Technology State Key Laboratory of Information Security Institute of Information Engineering Chinese Academy of Sciences School of Mathematics Hefei University of Technology

Recently, Mao, Zhang, Wu et al. constructed two key exchange(KE) protocols based on tensor ergodic problem(TEP). Although they conjectured that these constructions can potentially resist quantum computing attack, they did not provide a rigorous security proof for their KE protocols. In this paper, applying the properties of ergodic matrix, we first present a polynomial time algorithm to solve the TEP problem using O(n^6) arithmetic operations in the finite field, where n is the security parameter. Then, applying this polynomial time algorithm, we generate a common shared key for two TEP-based KE constructions, respectively. In addition, we also provide a polynomial time algorithm with O(n^6) arithmetic operations that directly recovers the plaintext from a ciphertext for the KE-based encryption scheme. Thus, the TEP-based KE protocols and their corresponding encryption schemes are insecure.

关键词： key exchange KE-based encryption tensor decomposition ergodic matrix

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Distributed Global Leader-Following Coordination of MASs with Heterogeneous Input Saturation: Scheduling Low-Gain Revisited

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Journal of the Franklin Institute 2025年第11期362卷

作者： Xiaoling Wang Shengnan Zhu Juan Qian Housheng Su College of Automation & AI Nanjing University of Posts and Telecommunications and Jiangsu Engineering Lab for IOT Intelligent Robots (IOTRobot) Nanjing 210023 China Key Laboratory of Smart Manufacturing in Energy Chemical Process Ministry of Education East China University of Science and Technology Shanghai 200237 China Université Claude Bernard Lyon 1 CNRS LAGEPP UMR 5007 43 boulevard du 11 novembre 1918 F-69100 Villeurbanne France National Key Laboratory of Multispectral Information Intelligent Processing Technology School of Artificial Intelligence and Automation Huazhong University of Science and Technology Wuhan 430074 China

In this paper, we revisit the global coordinated tracking problem of the leader-following multi-agent systems with input saturation via the scheduling low-gain feedback technique, aiming to make breakthroughs from aspects such as the heterogeneity of saturation level and the distributed characteristic of scheduled tuning algorithms on the low-gain parameters, that is the newly proposed distributed scheduling low-gain approach. First, we provide a continuous-time tuning algorithm for the low-gain parameter of each follower to articulate the fundamental idea of the distributed scheduling low-gain technique on addressing heterogeneous saturation, so as to solve the global consensus tracking of multi-agent systems with heterogeneous input saturation and one leader. Then, this result is extended to the global containment tracking of multi-agent systems with multiple leaders. Furthermore, from the perspective of reducing communication burden, we further propose a distributed scheduling low-gain parameter algorithm by using the sampled relative information between each follower and its neighbors, and offer the upper and lower bounds on the sampling period to ensure the achievement of global coordination tracking. Finally, numerical simulations are performed to verify the theoretical results.

关键词： Global consensus tracking Global containment tracking Heterogeneous input saturation Scheduling low-gain technique

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Novel implementation of defence strategy of relay attack based on cloud in RFID systems

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International Journal of information and computer Security 2019年第2期11卷 120-144页

作者： Xu, He Shen, Weiwei Li, Peng Mayes, Keith Wang, Ruchuan Li, Dashen Yang, Shengxiang School of Computer Science and Technology School of Software Nanjing University of Posts and Telecommunications Nanjing210003 China Jiangsu High Technology Research Key Laboratory for Wireless Sensor Networks Nanjing210003 China Information Security Group School of Mathematics and Information Security Royal Holloway University of London Egham SurreyTW20 0EX United Kingdom

Radio frequency identification technology (RFID) is widely used in identity authentication and payment, and it also becomes an indispensable part of daily life. Cloud-based RFID systems have broad application prospects, and can be provided as a service to individuals or organisations. For example, RFID cards can be used for cash-less payment, physical access control, temporary rights and identification in cloud environment. When an RFID card is used, there is a wireless transaction between the card and its reader, which could be attacked by several methods, including a relay attack. Relay attacks are difficult to completely prevent and a serious threat to RFID systems security. An attacker could use limited resources to build up this kind of attack and may need little knowledge of the underlying protocol. In recent years, researchers have proposed solutions using second channels to resist relay attack, such as using environmental measurements including noise, light and temperature. This paper describes research on the defence techniques for relay attacks in cloud-based RFID systems. The cloud-based architecture for RFID systems typically consists of RFID tags, card readers (fixed or mobile) and cloud-based server functionality. Copyright © 2019 Inderscience Enterprises Ltd.

关键词： Internet of things

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Topological refraction in dual-band valley sonic crystals

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Physical Review B 2021年第14期103卷 144309-144309页

作者： Ding Jia Yong Ge Haoran Xue Shou-qi Yuan Hong-xiang Sun Yihao Yang Xiao-jun Liu Baile Zhang Research Center of Fluid Machinery Engineering and Technology School of Physics and Electronic Engineering School of Computer Science and Communication Engineering Jiangsu University Zhenjiang 212013 China Key Laboratory of Modern Acoustics National Laboratory of Solid State Microstructures Department of Physics and Collaborative Innovation Center of Advanced Microstructures Nanjing University Nanjing 210093 China Division of Physics and Applied Physics School of Physical and Mathematical Sciences Nanyang Technological University 21 Nanyang Link Singapore 637371 Singapore Interdisciplinary Center for Quantum Information State Key Laboratory of Modern Optical Instrumentation College of Information Science and Electronic Engineering Zhejiang University Hangzhou 310027 China Centre for Disruptive Photonic Technologies The Photonics Institute Nanyang Technological University 50 Nanyang Avenue Singapore 639798 Singapore

Valley pseudospins, as quantum states of energy extrema in momentum space, have been introduced from condensed-matter systems into classical sound systems, and several valley sonic crystals (VSCs) have been realized experimentally. However, in the existing VSCs, topological kink states generally appear in a single band gap, which apparently has become an obstacle for multiband topological sound devices. To overcome this challenge, we here experimentally demonstrate dual-band VSCs, in which robust valley kink states exist in two separated bulk band gaps. More interestingly, two opposite valleys separately located in two band gaps are locked to a single propagation direction, which arises from the fact that the bands below two band gaps show opposite valley Chern numbers at the K/K′ valley. This double valley-locking phenomenon has been demonstrated via measuring the topological refraction of the kink states into the ambient space at a zigzag termination. We observe positive refraction at the lower band gap, whereas the coexistence of positive and negative refraction at the higher band gap. Additionally, we observe the robust valley transport through the sharp corners at two band gaps. The designed VSCs with the dual-band topological refraction and robust valley transport could find potential applications in multiband and multidirectional devices.

关键词： Acoustic wave phenomena Acoustics Band gap Geometric & topological phases Valleytronics

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Stability analysis for Takagi-Sugeno fuzzy systems with a periodically varying delay via a generalized allowable delay set partitioning approach

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Fuzzy Sets and Systems 2025年 518卷

作者： Yun Chen Xin Wang Yaqi Li Yunfei Qiu Shuangcheng Sun School of Transportation and Electrical Engineering Hunan University of Technology Zhuzhou 412007 China State Key Laboratory of Synthetical Automation for Process Industries Northeastern University Shenyang 110819 China School of Artificial Intelligence and State Key Laboratory of Disaster Prevention & Reduction for Power Grid Changsha University of Science and Technology Changsha 410114 China Department of Electrical Engineering Hunan Aviation Technical College Zhuzhou 412006 China National Innovation Center of Advanced Rail Transit Equipment Zhuzhou 412001 China School of Electrical and Information Engineering Jiangsu University Zhenjiang 212013 China

Recently, researchers have employed a monotone-delay-interval-based Lyapunov-Krasovskii functional (LKF) to investigate the delay-dependent stability of Takagi-Sugeno (T-S) fuzzy systems with a periodically varying delay. However, this method is limited by its looped LKF structure and seems to ignore the benefits of partitioning the allowable delay set. To address this gap, a generalized allowable delay set partitioning approach is introduced, leveraging the definition of the allowable delay set and a region partitioning scheme, to analyze the stability of T-S fuzzy systems with a periodically varying delay. Our approach allows the construction of different LKFs in various partition sets. This flexibility, compared to existing methods, relaxes the structure of LKF construction and enhances the utilization of system state and delay function information. Subsequently, stability criteria, which exhibit a hierarchy, for T-S fuzzy systems with a periodically varying delay are derived. Finally, the efficacy and superiority of the proposed stability criteria are confirmed through two numerical examples and a practical truck-trailer system.

关键词： Allowable delay sets Lyapunov-Krasovskii functional Periodically varying delay Stability Takagi-Sugeno (T-S) fuzzy systems

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Identifying Alzheimer's disease-associated genes related to N6-methyladenosine modification as potential biomarkers through correlation analysis: A retrospective observational study

NeuroMarkers

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NeuroMarkers 2025年第1期2卷

作者： Lin Yang Pengtao Zheng Cong Huang Chonghao Gao Xinping Pang Hui Liu Yanyu Wei Chaoyang Pang College of Computer Science Sichuan Normal University Chengdu Sichuan Province China School of Information and Software Engineering University of Electronic Science and Technology of China Chengdu Sichuan Province China School of Science Xi’an Jiaotong-Liverpool University Suzhou Jiangsu Province China National Key Laboratory of Science and Technology on Vacuum Electronics School of Electronic Science and Engineering University of Electronic Science and Technology of China Chengdu Sichuan Province China

Alzheimer's disease is a prevalent neurodegenerative disorder characterized by cognitive deficits and abnormal neurological activity. Recent evidence suggests that the pathogenesis of Alzheimer's disease may involve the abnormal expression of specific genes, particularly those associated with N6-methyladenosine modification. N6-methyladenosine is a common mRNA modification that influences mRNA splicing, translation, and stability, thereby regulating physiological processes and potentially contributing to neurodegenerative diseases. Our study aimed to identify and screen genes related to Alzheimer's disease, focusing on the METTL3 gene, a key regulator of m6A modification. We used a novel weighted metrics method that combines the METTL3 gene data with gene chip data from four stages of Alzheimer's disease samples through a Spearman-Cosine correlation weighing *** utilizing a correlation coefficient matrix strategy that integrates Spearman correlation and Pinched cosine correlation, we identified nine significantly differentially expressed genes associated with Alzheimer's disease. These genes, which are highly correlated with METTL3 during the transition from normal to disease states, suggest that m6A modification regulates METTL3 expression and affects the pathogenesis of Alzheimer's disease through multiple molecular pathways. Notably, our findings reveal a profound connection between m6A modification and energy metabolism, with observable effects on mitochondrial function, lipid metabolism, and glycolytic pathways. These genes, potentially serving as biomarkers, could advance the development of therapeutic strategies for Alzheimer's disease. Our results highlight the importance of m6A modification in Alzheimer's disease and suggest that the identified genes could be used as biomarkers for early detection and monitoring of the disease. The clinical significance of our findings lies in the potential to develop targeted therapies and improve patient outcomes

关键词： Alzheimer's disease Biomarkers Correlation coefficient matrix Gene expression M6A modification

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