The Experts below are selected from a list of 15885 Experts worldwide ranked by ideXlab platform

Liu Fei - One of the best experts on this subject based on the ideXlab platform.

  • 6G White paper: Research challenges for Trust, Security and Privacy
    2020
    Co-Authors: Ylianttila Mika, Liu Fei, Kantola Raimo, Gurtov Andrei, Mucchi Lozenzo, Oppermann Ian, Yan Zheng, Nguyen, Tri Hong, Hewa Tharaka, Liyanage Madhusanka
    Abstract:

    The roles of trust, Security and privacy are somewhat interconnected, but different facets of next generation networks. The challenges in creating a trustworthy 6G are multidisciplinary spanning technology, regulation, techno-economics, politics and ethics. This white paper addresses their fundamental research challenges in three key areas. Trust: Under the current "open internet" regulation, the telco cloud can be used for trust services only equally for all users. 6G network must support embedded trust for increased level of information Security in 6G. Trust modeling, trust policies and trust mechanisms need to be defined. 6G interlinks physical and digital worlds making safety dependent on information Security. Therefore, we need trustworthy 6G. Security: In 6G era, the dependence of the economy and societies on IT and the networks will deepen. The role of IT and the networks in national Security keeps rising - a continuation of what we see in 5G. The development towards cloud and edge native infrastructures is expected to continue in 6G networks, and we need holistic 6G network Security architecture planning. Security Automation opens new questions: machine learning can be used to make safer systems, but also more dangerous attacks. Physical layer Security techniques can also represent efficient solutions for securing less investigated network segments as first line of defense. Privacy: There is currently no way to unambiguously determine when linked, deidentified datasets cross the threshold to become personally identifiable. Courts in different parts of the world are making decisions about whether privacy is being infringed, while companies are seeking new ways to exploit private data to create new business revenues. As solution alternatives, we may consider blockchain, distributed ledger technologies and differential privacy approaches

  • research and application of the area spare power automatic switchover technology in smart grid
    IEEE PES Innovative Smart Grid Technologies Conference, 2012
    Co-Authors: Zhou Yilin, Jianwei Sun, Chen Jiongcong, Liu Fei
    Abstract:

    Aimed at the applied limitations of traditional Spare Power Automatic Switchover inside of substation using in chain-mode grid model,an new technology of Area Spare Power Automation Switchover was researched. The basic theory and process was discussed while the key points also proposed. Through demonstrated the cooperation with traditional Spare Power Automation Switchover, auto-reclosing, Security Automation device and Small Power Source etc, and considered a series of atresia conditions to insure the Security of grid, it is fully convinced that the application of the Area Spare Power Automatic Switchover Technology in Smart Grid is necessary and feasible. At the same time, the action time of the Area Spare Power Automatic Switchover's logic strategy were given both in the laboratory and substation different channel environments. While analyzing the potential risks of the Area Spare Power Automatic Switchover, the reasonable improvement measures in the current grid communication technology conditions were given.

Liyanage Madhusanka - One of the best experts on this subject based on the ideXlab platform.

  • 6G White paper: Research challenges for Trust, Security and Privacy
    2020
    Co-Authors: Ylianttila Mika, Liu Fei, Kantola Raimo, Gurtov Andrei, Mucchi Lozenzo, Oppermann Ian, Yan Zheng, Nguyen, Tri Hong, Hewa Tharaka, Liyanage Madhusanka
    Abstract:

    The roles of trust, Security and privacy are somewhat interconnected, but different facets of next generation networks. The challenges in creating a trustworthy 6G are multidisciplinary spanning technology, regulation, techno-economics, politics and ethics. This white paper addresses their fundamental research challenges in three key areas. Trust: Under the current "open internet" regulation, the telco cloud can be used for trust services only equally for all users. 6G network must support embedded trust for increased level of information Security in 6G. Trust modeling, trust policies and trust mechanisms need to be defined. 6G interlinks physical and digital worlds making safety dependent on information Security. Therefore, we need trustworthy 6G. Security: In 6G era, the dependence of the economy and societies on IT and the networks will deepen. The role of IT and the networks in national Security keeps rising - a continuation of what we see in 5G. The development towards cloud and edge native infrastructures is expected to continue in 6G networks, and we need holistic 6G network Security architecture planning. Security Automation opens new questions: machine learning can be used to make safer systems, but also more dangerous attacks. Physical layer Security techniques can also represent efficient solutions for securing less investigated network segments as first line of defense. Privacy: There is currently no way to unambiguously determine when linked, deidentified datasets cross the threshold to become personally identifiable. Courts in different parts of the world are making decisions about whether privacy is being infringed, while companies are seeking new ways to exploit private data to create new business revenues. As solution alternatives, we may consider blockchain, distributed ledger technologies and differential privacy approaches

Mucchi L. - One of the best experts on this subject based on the ideXlab platform.

  • 6G white paper:research challenges for trust, Security and privacy
    Oulun yliopisto, 2020
    Co-Authors: Ylianttila M., Kantola R., Gurtov A., Mucchi L.
    Abstract:

    Abstract The roles of trust, Security and privacy are somewhat interconnected, but different facets of next generation networks. The challenges in creating a trustworthy 6G involve multidisciplinary spanning technology, regulation, techno-economics, politics and ethics. This white paper addresses their fundamental research challenges in three key areas: Trust: Under the current “open Internet” regulation, the telco cloud can only be used for trust services equally for all users. The 6G network must support embedded trust for increased levels of information Security in 6G. Trust modeling, trust policies and trust mechanisms need to be defined. 6G interlinks the physical and digital worlds making safety dependent on information Security. Therefore, we need trustworthy 6G. Security: In the 6G era, the dependence of the economy and societies on IT and networks will deepen. The role of IT and the networks in national Security will continue to rise—which is a continuation of what we see in 5G. The development towards cloud and edge native infrastructures is expected to continue in 6G networks, and we need holistic 6G network Security architecture planning. Security Automation opens new questions: machine learning can be used to make safer systems, but also more dangerous attacks. Physical layer Security techniques can also represent efficient solutions for securing less investigated network segments as a first line of defense. Privacy: There is currently no way to unambiguously determine when linked, deidentified datasets cross the threshold to become personally identifiable. This is a major, unaddressed problem for many digital technologies in different sectors. Courts in different parts of the world are making decisions about whether privacy is being infringed without formal measures of the level of personal information, while companies are seeking new ways to exploit private data to create new business revenues. As solution alternatives, we may consider blockchain, distributed ledger technologies and differential privacy approaches

Jiahao Wang - One of the best experts on this subject based on the ideXlab platform.

  • research on logistics supply chain of iron and steel enterprises based on block chain technology
    Future Generation Computer Systems, 2019
    Co-Authors: Aimin Yang, Chenshuai Liu, Yuzhu Zhang, Jiahao Wang
    Abstract:

    Abstract At present, the service trading system of steel logistics industry is highly centralized, with poor collaborative ability. Information flow, capital flow and logistics need to be certified by logistics center nodes. It cannot achieve information transparency, traceability and tampering, and the information Security of customers cannot be effectively guaranteed. This has affected the information Security, Automation and intelligence of logistics enterprise service transactions. Firstly, this paper introduces the data layer, network layer and consensus layer in the block chain, and then establishes the steel logistics architecture under the block chain technology. Then, it analyzes the management of logistics information resources in the supply chain from the object, attribute and function dimensions. Finally, the improved PFBT algorithm is used to test their de-centralization Security and algorithm performance in the system of iron and steel enterprise logistics transactions. The experimental comparison shows that the improved PBFT algorithm has been greatly improved in the aspects of algorithm Security, algorithm delay, algorithm throughput and algorithm fault tolerance.

Minzhe Guo - One of the best experts on this subject based on the ideXlab platform.

  • Security data mining in an ontology for vulnerability management
    International Joint Conferences on Bioinformatics Systems Biology and Intelligent Computing, 2009
    Co-Authors: Ju An Wang, Minzhe Guo
    Abstract:

    Information Security is such a complex topic that the sheer scope and volume of available Security data overwhelms Security professionals and managers alike. This paper discusses the rationale of applying semantic technology to information Security with a focus on software vulnerability management. With semantic technologies, we can describe the pattern of external threats and internal vulnerabilities formally and precisely. Based on this, we can make inference and make high-level decisions accordingly. We have constructed an ontology for Security vulnerabilities, which defines the key concepts in vulnerability management and their relationships. We introduce the design and reasoning within the ontology with examples in vulnerability analysis and assessment. The result of this paper provides a promising pathway to making Security Automation successful through semantic technologies.

  • ovm an ontology for vulnerability management
    Cyber Security and Information Intelligence Research Workshop, 2009
    Co-Authors: Ju An Wang, Minzhe Guo
    Abstract:

    In order to reach the goals of the Information Security Automation Program (ISAP) [1], we propose an ontological approach to capturing and utilizing the fundamental concepts in information Security and their relationship, retrieving vulnerability data and reasoning about the cause and impact of vulnerabilities. Our ontology for vulnerability management (OVM) has been populated with all vulnerabilities in NVD [2] with additional inference rules, knowledge representation, and data-mining mechanisms. With the seamless integration of common vulnerabilities and their related concepts such as attacks and countermeasures, OVM provides a promising pathway to making ISAP successful.