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A smart monitoring system of water distribution network towards IoT platform

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A smart monitoring system of water distribution network towa...

International Conference on Green Energy, Computing and Intelligent Technology (GEn-CITy 2023)

作者： R. Ramli H. Razalli N. M. Sapari Computer Science University of Southampton Malaysia 79100 Iskandar Puteri Johor Malaysia Emerging Technology Lead Group Network Technology Telekom Malaysia Berhad Cyberjaya Malaysia Department of Electrical Power Engineering Faculty of Electrical Engineering Universiti Teknologi Malaysia 81310 Johor Bharu Johor Malaysia

Pipeline systems oversee the transportation of important materials like water, gas, and oil. If such pipe systems are exposed to any trouble, a big economic loss, as well as environmental damages, are being produced. A proper water distribution monitoring system is very needed to overcome this issue. However, current digital water monitoring systems are upheld by different apparatus, without considering the interoperability standards. The standardization lack among the manufacturers of digital water monitoring components will ambiguity improper tracking and controlling systems, which reduce the efficiency of water distribution & consumption, system servicing & enhancement, and failure detection. Hence, this work aims at designing a Smart Water Distribution network (WDN) Monitoring System toward the Internet of Things (IoT) architecture for real-time water abnormalities detection and water monitoring. It consists of two parts: the smart water abnormalities detection system and the smart water distribution monitoring system. The system will operate with the data provided by the smart sensors which were attached to the piping system. Next, a smart mobile application will develop with an embedded digital reporting module to notifying the to the consumer and the authority of the next action to be taken. The pattern analysis is based on deep learning techniques and applications.

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Exploiting Sequence Number Leakage: TCP Hijacking in NAT-Enabled Wi-Fi networks

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arXiv 2024年

作者： Yang, Yuxiang Feng, Xuewei Li, Qi Sun, Kun Wang, Ziqiang Xu, Ke Department of Computer Science and Technology & BNRist Tsinghua University China Institute for Network Sciences and Cyberspace & BNRist Tsinghua University China Zhongguancun Lab China Department of Information Sciences and Technology & CSIS George Mason University United States School of Cyber Science and Engineering Southeast University Bangladesh

In this paper, we uncover a new side-channel vulnerability in the widely used NAT port preservation strategy and an insufficient reverse path validation strategy of Wi-Fi routers, which allows an off-path attacker to infer if there is one victim client in the same network communicating with another host on the Internet using TCP. After detecting the presence of TCP connections between the victim client and the server, the attacker can evict the original NAT mapping and reconstruct a new mapping at the router by sending fake TCP packets due to the routers’ vulnerability of disabling TCP window tracking strategy, which has been faithfully implemented in most of the routers for years. In this way, the attacker can intercept TCP packets from the server and obtain the current sequence and acknowledgment numbers, which in turn allows the attacker to forcibly close the connection, poison the traffic in plain text, or reroute the server’s incoming packets to the attacker. We test 67 widely used routers from 30 vendors and discover that 52 of them are affected by this attack. Also, we conduct an extensive measurement study on 93 real-world Wi-Fi networks. The experimental results show that 75 of these evaluated Wi-Fi networks (81%) are fully vulnerable to our attack. Our case study shows that it takes about 17.5, 19.4, and 54.5 seconds on average to terminate an SSH connection, download private files from FTP servers, and inject fake HTTP response packets with success rates of 87.4%, 82.6%, and 76.1%. We responsibly disclose the vulnerability and suggest mitigation strategies to all affected vendors and have received positive feedback, including acknowledgments, CVEs, rewards, and adoption of our suggestions. Copyright © 2024, The Authors. All rights reserved.

关键词： Wi-Fi

Office Building Energy Community: A Case Study on Optimal Market Operation and Grid Impact

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Office Building Energy Community: A Case Study on Optimal Ma...

IEEE International Smart Cities Conference (ISC2)

作者： Juhani Lepistö Jovana Forcan Miodrag Forcan Pirjo Heine Helen Electricity Network Helsinki Finland Department of Computer Science and Systems University of East Sarajevo Faculty of Philosophy East Sarajevo Bosnia and Herzegovina Department of Electroenergetics University of East Sarajevo Faculty of Electrical Engineering East Sarajevo Bosnia and Herzegovina

In this paper, we study an office building connected to an urban distribution network from an energy community perspective. The office building and its electrical equipment have a real-world counterpart from which we construct synthetic time series based on the historical measurement data. The office building involves three stakeholders and their assets. The central stakeholders are the owner and the tenant of the building. The third stakeholder is the operator of flexible assets. The smartness of the office building is related to the control capabilities of its assets. These controllable assets are the battery energy storage system (BESS) and the electric vehicles (EV) charging system (EVCS) that both can operate in a flexible manner in response to energy price fluctuations and participate in a reserve market. We proposed different cases where either the owner or the tenant is paying the EV charging, and where the flexibility of the EV charging is either active or not. We show that, when the owner pays for the energy usage of the EVCS and the tenant is using it, there is a beneficial case to form a coalition between them and share the benefits from the flexibility, as otherwise there is no incentive for the tenant to be flexible in the first place. We conducted operative cost-benefit calculations where we shared the community benefits according to the Shapley value and simulated the power flows at the building's connection point based on the market operations. We found that harnessing benefits from the two market operations had significant effects on the power flows at the connection point. This was true when operating under the variable energy prices and in the reserve market.

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Improving Quality of Experience in Cloud Gaming Using Speculative Execution

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Improving Quality of Experience in Cloud Gaming Using Specul...

International Conference on Mobile Computing and Ubiquitous networking (ICMU)

作者： Takumasa Ishioka Tatsuya Fukui Ryouhei Tsugami Toshihito Fujiwara Satoshi Narikawa Takuya Fujihashi Shunsuke Saruwatari Takashi Watanabe Graduate School of Information Science and Technology Osaka University Japan Department of Information and Computer Science Faculty of Engineering Kyoto Tachibana University Japan NTT Access Network Service Systems Laboratories NTT Corporation Japan

Cloud gaming has surged in popularity with the rise of mobile games. Cloud gaming systems allow players to enjoy the latest high-performance games from any location on their mobile devices. However, cloud gaming presents challenges, notably the increased latency due to network delays, creating an issue of end-to-end latency. Minimizing network delays like processing, transmission, and propagation is crucial to offer a user experience similar to playing a local game. Our research explores a speculative video transmission method on cloud gaming servers to overcome these limitations and reduce network latency. In our proposed method, the cloud game server analyzes input patterns from the user, then pre-encodes and sends the corresponding game frames. This process reduces the perceived network delay, making the game more responsive. This paper evaluates the estimated Quality of Experience (QoE) based on an existing QoE model.

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Social Bots: Detection and Challenges

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arXiv 2023年

作者： Yang, Kai-Cheng Varol, Onur Nwala, Alexander C. Sayyadiharikandeh, Mohsen Ferrara, Emilio Flammini, Alessandro Menczer, Filippo Luddy School of Informatics Computing and Engineering Indiana University Bloomington United States Network Science Institute Northeastern University United States Faculty of Engineering and Natural Sciences Sabanci University Turkey Department of Applied Science William & Mary United States Thomas Lord Department of Computer Science University of Southern California United States

While social media are a key source of data for computational social science, their ease of manipulation by malicious actors threatens the integrity of online information exchanges and their analysis. In this Chapter, we focus on malicious social bots, a prominent vehicle for such manipulation. We start by discussing recent studies about the presence and actions of social bots in various online discussions to show their real-world implications and the need for detection methods. Then we discuss the challenges of bot detection methods and use Botometer, a publicly available bot detection tool, as a case study to describe recent developments in this area. We close with a practical guide on how to handle social bots in social media research. © 2023, CC BY.

关键词： Botnet

User-Centric Data Management in Decentralized Internet of Behaviors System

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arXiv 2025年

作者： Zhang, Shiqi Wu, Dapeng Wang, Honggang Wang, Ruyan School of Communications and Information Engineering Chongqing University of Posts and Telecommunications Chongqing400065 China Advanced Network and Intelligent Connection Technology Key Laboratory of Chongqing Education Commission of China China Chongqing Key Laboratory of Ubiquitous Sensing and Networking China Department of Graduate Computer Science and Engineering Katz School of Science and Health Yeshiva University in New York City United States

The Internet of Behaviors (IoB) is an emerging concept that utilizes devices to collect human behavior and provide intelligent services. Although some research has focused on human behavior analysis and data collection within IoB, the associated security and privacy challenges remain insufficiently explored. This paper analyzes the security and privacy risks at different stages of behavioral data generating, uploading, and using, while also considering the dynamic characteristics of user activity areas. Then, we propose a blockchain-based distributed IoB data storage and sharing framework, which is categorized into sensing, processing, and management layers based on these stages. To accommodate both identity authentication and behavioral privacy, zero-knowledge proofs are used in the sensing layer to separate the correlation between behavior and identity, which is further extended to a distributed architecture for cross-domain authentication. In the processing layer, an improved consensus protocol is proposed to enhance the decision-making efficiency of distributed IoB by analyzing the geographical and computational capability of the servers. In the management layer, user permission differences and the privacy of access targets are considered. Different types of behavior are modeled as corresponding relationships between keys, and fine-grained secure access is achieved through function secret sharing. Simulation results demonstrate the effectiveness of the proposed framework in multi-scenario IoB, with average consensus and authentication times reduced by 74% and 56%, respectively. Copyright © 2025, The Authors. All rights reserved.

关键词： Differential privacy

Distributed Beamforming Based Wireless Power Transfer:Analysis and Realization

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Tsinghua Science and Technology 2020年第6期25卷 758-775页

作者： Xiaoran Fan Han Ding Yanyong Zhang Wade Trappe Zhu Han Rich Howard the Wireless Information Network Laboratory(WINLAB) Rutgers UniversityNew BrunswickNJ 08901USA the Department of Computer Science and Technology Xi'an Jiaotong UniversityXi'an 710049China the Department of Computer Science and Technology University of Science and Technology of ChinaHefei 230052China the Department of Electrical and Computer Engineering University of HoustonHoustonTX 77004USA.

This paper presents a new Wireless Power Transfer(WPT)approach by aligning the phases of a group of spatially distributed Radio Frequency(RF)transmitters(TX)at the target receiver(RX)*** approach can transfer energy over tens of meters and even to targets blocked by *** to popular beamforming based WPTs,our approach leads to a drastically different energy density distribution:the energy density at the target receiver is much higher than the energy density at other *** to this unique energy distribution pattern,our approach offers a safer WPT solution,which can be potentially scaled up to ship a higher level of energy over longer ***,we model the energy density distribution and prove that our proposed system can create a high energy peak exactly at the target *** we conduct detailed simulation studies to investigate how the actual energy distribution is impacted by various important system parameters,including number/topology of transmitters,transmitter antenna directionality,the distance between receiver and transmitters,and environmental ***,we build an actual prototype with 17 N210 and 4 B210 Universal Software Radio Peripheral(USRP)nodes,through which we validate the salient features and performance promises of the proposed system.

关键词： Wireless Power Transfer(WPT) distributed beamforming wireless network

Enhancing Data Security With Adaptive ECC-Based Encryption: A Resource-Aware Approach

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SECURITY AND PRIVACY 2025年第4期8卷

作者： Fursan Thabit Ozgu Can Chrysostomos Chrysostomou A National Computer Network Intrusion Protection Center University of Chinese Academy of Sciences Beijing China Department of Computer Engineering Faculty of Engineering Ege University Izmir Turkey Department of Electrical Engineering Computer Engineering and Informatics Frederick University Nicosia Cyprus

Financial agencies need to safeguard confidential information and mitigate the risks associated with data leakage. Data hosted on cloud servers must be protected by robust security measures. To achieve this objective, we have developed the Cloud Security and Encryption Algorithm with Configurable Dynamic Key Size (CSEDS), a comprehensive framework consisting of three integral components. In the first step, a configurable context signature manager analyzes and assesses user data sensitivity. Second, the cloud server's load and performance are evaluated by an investigator. Finally, a resilient cloud data cryptosystem is implemented to securely encrypt user data. We use elliptical curve (EC) method for encryption, ensuring security, and confidentiality for cloud-hosted user data. Several factors were considered when evaluating the framework's effectiveness, including throughput, encryption time, and decryption time. Compared to existing systems, the CSEDS system outperforms the Hybrid Paillier-Blowfish Algorithm (HPBA), Hybrid Cloud Cryptosystems (HCA), and genetic algorithms utilizing logical-mathematical functions (GTLMF). The ECC Algorithm in our framework makes use of adaptive key sizes, based on cloud resources and sensitive user data. The proposed framework enhances security significantly, as demonstrated by our research and simulations. In comparison to GTLMF, CGA, HCA, and HPBA, our framework improves security levels by 5%, 2%, 3%, and 1%, respectively.

关键词： cloud computing cryptography decryption encryption security

AlignVE: Visual Entailment Recognition Based on Alignment Relations

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arXiv 2022年

作者： Cao, Biwei Cao, Jiuxin Gui, Jie Shen, Jiayun Liu, Bo He, Lei Tang, Yuan Yan Kwok, James Tin-Yau The School of Cyber Science and Engineering Southeast University Nanjing211189 China The Key Laboratory of Computer Network and Information Ministry of Education of China Nanjing211189 China Purple Mountain Laboratories Nanjing210000 China The School of Computer Science and Engineering Southeast University Nanjing211189 China Information Engineering University China The Department of Computer and Information Science University of Macao 999078 China The Department of Computer Science and Engineering The Hong Kong University of Science and Technology 999077 Hong Kong

Visual entailment (VE) is to recognize whether the semantics of a hypothesis text can be inferred from the given premise image, which is one special task among recent emerged vision and language understanding tasks. Currently, most of the existing VE approaches are derived from the methods of visual question answering. They recognize visual entailment by quantifying the similarity between the hypothesis and premise in the content semantic features from multi modalities. Such approaches, however, ignore the VE’s unique nature of relation inference between the premise and hypothesis. Therefore, in this paper, a new architecture called AlignVE is proposed to solve the visual entailment problem with a relation interaction method. It models the relation between the premise and hypothesis as an alignment matrix. Then it introduces a pooling operation to get feature vectors with a fixed size. Finally, it goes through the fully-connected layer and normalization layer to complete the classification. Experiments show that our alignment-based architecture reaches 72.45% accuracy on SNLI-VE dataset, outperforming previous content-based models under the same settings. Copyright © 2022, The Authors. All rights reserved.

关键词： computer vision