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IEEE Conference on Decision and Control

作者： Sadek Belamfedel Alaoui Adnane Saoud Pushpak Jagtap Abdalla Swikir School of Computer Science at Mohammed VI Polytechnical University Benguerir Morocco Centrale-Supelec University Paris-Saclay Gif-sur-Yvette France Robert Bosch Center for Cyber-Physical Systems Indian Institute of Science Bangalore Chair of Robotics and Systems Intelligence and MIRMI Technical University Munich (TUM) Munich Germany Department of Electrical and Electronic Engineering Omar Al-Mukhtar University (OMU) Albaida Libya Centre for Tactile Internet with Human-in-the-Loop (CeTI) Dresden Germany

In this paper, we present a compositional method-ology for constructing symbolic models of nonlinear interconnected impulsive systems. Our approach relies on the concept of “alternating simulation function” to establish a relation-ship between concrete subsystems and their symbolic models. Assuming some small-gain type conditions, we develop an alternating simulation function between the symbolic models of individual subsystems and those of the nonlinear interconnected impulsive systems. To construct symbolic models of nonlinear impulsive subsystems, we propose an approach that depends on incremental input-to-state stability and forward completeness properties. Finally, we demonstrate the advantages of our framework through a case study.

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Blind Face Retrieval for Mobile Users 2nd

Blind Face Retrieval for Mobile Users

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2nd EAI International Conference on Robotic Sensor Networks, ROSENET 2018

作者： Jin, Xin Ge, Shiming Song, Chenggen Wu, Le Sun, Hongbo Department of Cyber Security Beijing Electronic Science and Technology Institute Beijing China CETC Big Data Research Institute Co. Ltd. Guizhou Guiyang China Institute of Information Engineering Chinese Academy of Sciences Beijing China Beijing Electronic Science and Technology Institute Beijing China

ISBN: (纸本)9783030177621

Recently, cloud storage and processing have been widely adopted. Mobile users in one family or one team may automatically backup their photos to the same shared cloud storage space. The powerful face detector trained and provided by a 3rd party may be used to retrieve the photo collection which contains a specific group of persons from the cloud storage server. However, the privacy of the mobile users may be leaked to the cloud server providers. In the meanwhile, the copyright of the face detector should be protected. Thus, in this paper, we propose a protocol of privacy preserving face retrieval in the cloud for mobile users, which protects the user photos and the face detector simultaneously. The cloud server only provides the resources of storage and computing and cannot learn anything from the user photos and the face detector. We test our protocol inside several families and classes. The experimental results reveal that our protocol can successfully retrieve the proper photos from the cloud server and protect the user photos and the face detector. © 2020, Springer science and Business Media Deutschland GmbH. All rights reserved.

关键词： Cloud storage

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Decentralized distributed blockchain ledger for financial transaction backup data

Decentralized distributed blockchain ledger for financial tr...

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2019 International Conference on cyber security and Internet of Things, ICSIoT 2019

作者： Xenya, Michael Christopher Quist-Aphetsi, Kester Computer Engineering Department Ghana Technology University College Ghana Computer Science Department Ghana Technology University College Ghana Cyber Security Division CRITAC Ghana Information Assurance and Intelligent Research CRITAC Ghana

ISBN: (纸本)9781728174174

Due to the fact that financial data stands a great risk of attack, several schemes are being deployed to ensure security and integrity of financial data. In considering the security of the financial transaction data, it is essential to consider a network that ensure that processing nodes would have copies of the financial accounting ledger so as to prevent complete when a section of the network fails. In this article we propose an application of a blockchain to financial transaction data backup mechanism over a decentralized network. By using a decentralized distributed blockchain ledger, each node can have a copy of the transaction data such that, failure in one node does not engender a total failure in transaction data. The system have been described and simulated using the element of account ledger which consist of credit and debit transaction accompanied by timestamps and transaction ID. To secure this information in the chain each block contains in addition to the account ledger information a hash of the previous block as well as the hash of the current block. © 2019 IEEE.

关键词： Blockchain

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Modeling Secure Home Area Network Based on IoT for Resource Constraints Environment

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Journal of computer and Communications 2020年第1期8卷 45-70页

作者： Minsu Park Mwawi Kayuni Tiwonge Manda Hyunsung Kim Department of Computer Science Chancellor College University of Malawi Zomba Malawi Mathematical Sciences Department Chancellor College University of Malawi Zomba Malawi Department of Cyber Security Kyungil University Kyungbuk Korea.

The Internet of things (IoT) can be used in our daily life. Home area network (HAN) is one of the applications of loT. However, deploying HAN for underdeveloped countries in Africa is not easy due to the lack of Internet connectivity and stable electricity. First of all, Internet in Africa is growing fast but the majority of countries in Africa have Internet penetration of less than 10%. Furthermore, the problem of accessing electricity varies greatly across African countries, which is still less than 30% of the average usage rate. The aim of this paper is to model a secure HAN based on IoT for resource constraints environment, which are focused on both network connectivity and energy stability. Poor connectivity, the prevalence of low-end devices and several other obstacles should be considered for the secure HAN deployment in developing and underdeveloped countries. The proposed HAN model will provide the resource constraints module composed of network connectivity function and energy stability function to support the two constraints based on the IoT basic module and the security and privacy module. The proposed HAN model could be securely applied to various countries HAN applications with poor electricity supply and network connectivity.

关键词： Home Area Network security Privacy Internet of Things Delegation

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Distributed Approach to Traffic Management Automation Implemented According to IEC 61499 11th

Distributed Approach to Traffic Management Automation Implem...

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11th Advanced Doctoral Conference on Computing, Electrical and Industrial Systems, DoCEIS 2020

作者： Elkin, Dmitry Vyatkin, Valeriy Institute of Computer Technologies and Information Security Southern Federal University Chekhova. 2 Taganrog347900 Russia Department of Electrical Engineering and Automation Aalto University Otakaari 1B Aalto00076 Finland Department of Computer Science Electrical and Space Engineering Luleå University of Technology Luleå97187 Sweden

ISBN: (纸本)9783030451233

The number of vehicles on public roads is increasing while the road infrastructure is not keeping up to this. It is necessary to apply advanced algorithms and approaches to transport management to maximize the use of the existing road network and increase the capacity of roads. In this article, we propose a way to control traffic flows and automate road infrastructure using a multi-agent approach. The proposed approach involves the distributed management of various elements on the road network and their direct relationship with each other in a peer to peer manner. To implement this concept, we used the open standard of distributed control and automation systems IEC 61499, and to validate the approach we used the SUMO - microscopic and continuous road traffic simulation package. © IFIP International Federation for Information Processing 2020.

关键词： Multi agent systems

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Iot in traffic management: review of existing methods of road traffic regulation 9th

Iot in traffic management: review of existing methods of roa...

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9th computer science On-line Conference, CSOC 2020

作者： Elkin, Dmitry Vyatkin, Valeriy Southern Federal University Institute of Computer Technologies and Information Security Chekhova. 2 Taganrog347900 Russia Department of Electrical Engineering and Automation Aalto University Otakaari 1B Aalto00076 Finland Department of Computer Science Electrical and Space Engineering Luleå University of Technology Luleå97187 Sweden

ISBN: (纸本)9783030519735

Internet of Things (IoT) is an important upcoming technology for making infrastructures of our society smart and adaptable to the users’ needs. One such infrastructure is transportation. This article discusses existing methods and algorithms for automated management of traffic flows with a purpose of identifying hot spots and methods for applying IoT in this sector. Advantages and disadvantages of the existing methods are discussed, including evaluation of their effectiveness. © Springer Nature Switzerland AG 2020.

关键词： Internet of things

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Reasoning over the Air: A Reasoning-based Implicit Semantic-Aware Communication Framework

arXiv

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arXiv 2023年

作者： Xiao, Yong Liao, Yiwei Li, Yingyu Shi, Guangming Poor, H. Vincent Saad, Walid Debbah, Mérouane Bennis, Mehdi The School of Electronic Information and Communications The Huazhong University of Science and Technology Wuhan430074 China The Peng Cheng Laboratory Guangdong Shenzhen518055 China Guangdong Guangzhou510555 China The School of Mech. Eng. and Elect. Inform. The China University of Geosciences Wuhan430074 China The School of Artificial Intelligence The Xidian University Shaanxi Xi’an710071 China The Department of Electrical and Computer Engineering Princeton University PrincetonNJ08544 United States The Department of Electrical and Computer Engineering Virginia Tech BlacksburgVA24061 United States Cyber Security Systems and Applied AI Research Center Lebanese American University Beirut Lebanon Khalifa University of Science and Technology P O Box 127788 Abu Dhabi United Arab Emirates CentraleSupelec University Paris-Saclay Gif-sur-Yvette91192 France The University of Oulu Oulu90014 Finland

—Semantic-aware communication is a novel paradigm that draws inspiration from human communication focusing on the delivery of the meaning of messages. It has attracted significant interest recently due to its potential to improve the efficiency and reliability of communication and enhance users’ quality-of-experience (QoE). Most existing works focus on transmitting and delivering the explicit semantic meaning that can be directly identified from the source signal. This paper investigates the implicit semantic-aware communication in which the hidden information, e.g., hidden relations, concepts and implicit reasoning mechanisms of users, that cannot be directly observed from the source signal must be recognized and interpreted by the intended users. To this end, a novel implicit semantic-aware communication (iSAC) architecture is proposed for representing, communicating, and interpreting the implicit semantic meaning between source and destination users. A graph-inspired structure is first developed to represent the complete semantics, including both explicit and implicit, of a message. A projection-based semantic encoder is then proposed to convert the high-dimensional graphical representation of explicit semantics into a low-dimensional semantic constellation space for efficient physical channel transmission. To enable the destination user to learn and imitate the implicit semantic reasoning process of source user, a generative adversarial imitation learning-based solution, called G-RML, is proposed. Different from existing communication solutions, the source user in G-RML does not focus only on sending as much of the useful messages as possible;but, instead, it tries to guide the destination user to learn a reasoning mechanism to map any observed explicit semantics to the corresponding implicit semantics that are most relevant to the semantic meaning. By applying G-RML, we prove that the destination user can accurately imitate the reasoning process of the source u

关键词： Semantics

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A Multi-Perspective Machine Learning Approach to Evaluate Police-Driver Interaction in Los Angeles

arXiv

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arXiv 2024年

作者： Graham, Benjamin A.T. Brown, Lauren Chochlakis, Georgios Dehghani, Morteza Delerme, Raquel Friedman, Brittany Graeden, Ellie Golazizian, Preni Hebbar, Rajat Hejabi, Parsa Kommineni, Aditya Salinas, Mayagüez Sierra-Arévalo, Michael Trager, Jackson Weller, Nicholas Narayanan, Shrikanth Department of Political Science and International Relations University of Southern California Los Angeles90007 United States School of Public Policy University of Southern California Los Angeles90007 United States University of Southern California Los Angeles90007 United States Department of Computer Science University of Southern California Los Angeles90007 United States Brain and Creativity Institute University of Southern California Los Angeles90007 United States Department of Sociology University of Southern California Los Angeles90007 United States Center for Global Health Science and Security Georgetown University WashingtonDC20057 United States Department of Electrical and Computer Engineering University of Southern California Los Angeles90007 United States The Lewis Registry Los AngelesCA90049 United States Department of Sociology The University of Texas at Austin Austin78712 United States Department of Psychology University of Southern California Los Angeles90007 United States Department of Political Science University of California Riverside Riverside92521 United States

Interactions between the government officials and civilians affect public wellbeing and the state legitimacy that is necessary for the functioning of democratic society. Police officers, the most visible and contacted agents of the state, interact with the public more than 20 million times a year during traffic stops. Today, these interactions are regularly recorded by body-worn cameras (BWCs), which are lauded as a means to enhance police accountability and improve police-public interactions. However, the timely analysis of these recordings is hampered by a lack of reliable automated tools that can enable the analysis of these complex and contested police-public interactions. This article proposes an approach to developing new multi-perspective, multimodal machine learning (ML) tools to analyze the audio, video, and transcript information from this BWC footage. Our approach begins by identifying the aspects of communication most salient to different stakeholders, including both community members and police officers. We move away from modeling approaches built around the existence of a single ground truth and instead utilize new advances in soft labeling to incorporate variation in how different observers perceive the same interactions. We argue that this inclusive approach to the conceptualization and design of new ML tools is broadly applicable to the study of communication and development of analytic tools across domains of human interaction, including education, medicine, and the workplace. Copyright © 2024, The Authors. All rights reserved.

关键词： Machine learning

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Securing medical IoT devices using diffie-hellman and des cryptographic schemes

Securing medical IoT devices using diffie-hellman and des cr...

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2019 International Conference on cyber security and Internet of Things, ICSIoT 2019

作者： Quist-Aphetsi, Kester Xenya, Michael Christopher Computer Science Department Ghana Technology University College Ghana Computer Engineering Department Ghana Technology University College Ghana Cyber Security Division CRITAC Ghana Information Assurance and Intelligent Research CRITAC Ghana

ISBN: (纸本)9781728174174

IoT cuts across almost any field where communication or monitoring is needed. Recent works in IoT focuse on the architecture, secured communication, topologies, platforms etc. In the health sector, real-time access to sensor data like Pulse SpO2 sensor, BP sensor, Weight Scale, ECG sensor, Glucometer, EMG sensor, EEG sensor, and GSR sensor. Most of the recent works focuses on the robustness of the encryption and authentication schemes. Less attention is given to the fact that real time access to low processing nodes require a lightweight security scheme. We seek to address the said gaps by using Diffie-Hellman key sharing for the medical device authentication and DES for encryption of the health related data transfer. © 2019 IEEE.

关键词： Data transfer

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An Electric Vehicle Charging Reservation Approach based on Blockchain

An Electric Vehicle Charging Reservation Approach based on B...

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GLOBECOM 2020 - 2020 IEEE Global Communications Conference

作者： Sheng Cao Sixuan Dang Xiaojiang Du Mohsen Guizani Xiaosong Zhang Xiaoming Huang School of Computer Science and Engineering Institute for Cyber Security University of Electronic Science and Technology of China China School of Information and Software Engineering University of Electronic Science and Technology of China China Temple University Philadelphia USA Qatar University Qatar China Electronics Technol. Cyber Security Co. Ltd

ISBN: (数字)9781728182988

ISBN: (纸本)9781728182995

The popularity of electric vehicles depends on convenient and efficient charging services. At present, none of existing charging services allow users to reach charging stations at desirable time and charge immediately when they arrive without waiting. This paper proposes a charging reservation service approach based on the consortium blockchain and smart contract technology. Users can choose the charging station and charging time period with no charging congestion, which is based on the charging information recorded in the consortium blockchain composed of stations located in distributed regions in a city. To ensure a user arrives at the charging station on time and charge within due time as he/she has reserved, a personalized pricing scheme for reward and punishment by utilizing smart contract is proposed. We take the past charging behavior into consideration when deciding current charging price of each user, which can provide individualized prices for different users. This approach can not only greatly reduce the user's waiting time, but also offer high cost-effective charging services for good behavior users. We carry out experimental verification under multiple sets of parameter settings, illustrate the variations in three aspects including user's initial score, violation rate and intensity of reward and punishment, thus the feasibility of our approach is proved. Our work is a credible charging paradigm based on trust mechanism via blockchain, which has the potential to become an industry service standard for electric vehicle charging.

关键词： Blockchain Charging stations Smart contracts Electric vehicle charging Logic gates Fabrics Schedules

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