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Information technology (ACIT)

作者： Mohammad M. Shurman Rami M. Khrais Abdulrahman A. Yateem Network Engineering and Security Dept. Jordan Univ. of Science and Technology Irbid Jordan Computer Engineering Department Jordan Univ. of Science and Technology Irbid Jordan

the more (IoT) scales up with promises, the more security issues raise to the surface and must be tackled down. IoT is very vulnerable against DoS attacks. In this paper, we propose a hybrid design of signature-based IDS and anomaly-based IDS. The proposed hybrid design intends to enhance the intrusion detection and prevention systems (IDPS) to detect any DoS attack at early stages by classifying the network packets based on user behavior. Simulation results prove successful detection of DoS attack at earlier stages.

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Towards a multi-chain future of proof-of-space

arXiv

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arXiv 2019年

作者： Tang, Shuyang Zheng, Jilai Deng, Yao Wang, Ziyu Liu, Zhiqiang Gu, Dawu Department of Computer Science and Engineering Shanghai Jiao Tong University Shanghai China School of Cyber Science and Technology Beihang University Beijing China

Proof-of-Space provides an intriguing alternative for consensus protocol of permissionless blockchains due to its recyclable nature and the potential to support multiple chains simultaneously. However, a direct shared proof of the same storage, which was adopted in the existing multi-chain schemes based on Proof-of-Space, could give rise to newborn attack on new chain launching. To fix this gap, we propose an innovative framework of single-chain Proof-of-Space and further present a novel multi-chain scheme which can resist newborn attack effectively by elaborately combining shared proof and chain-specific proof of storage. Moreover, we analyze the security of the multi-chain scheme and prove that it is incentive-compatible. This means that participants in such multi-chain system can achieve their greatest utility with our proposed strategy of storage resource partition. Copyright © 2019, The Authors. All rights reserved.

关键词： Blockchain

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MHD analysis on the physical designs of CFETR and HFRC

arXiv

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arXiv 2021年

作者： Zhu, Ping Li, Li Fang, Yu He, Yuling Wang, Shuo Han, Rui Liu, Yue Wang, Xiaojing Zhang, Yang Zhang, Xiaodong Yu, Qingquan Hu, Liqun Wang, Huihui Sun, Youwen Wei, Lai Tang, Weikang Liu, Tong Wang, Zhengxiong Yan, Xingting Huang, Wenlong Hou, Yawei Ji, Xiaoquan Zeng, Shiyong Abdullah, Zafar Chen, Zhongyong Zeng, Long Li, Haolong Chen, Zhipeng Wang, Zhijiang Rao, Bo Zhang, Ming Ding, Yonghua Pan, Yuan International Joint Research Laboratory of Magnetic Confinement Fusion and Plasma Physics State Key Laboratory of Advanced Electromagnetic Engineering and Technology School of Electrical and Electronic Engineering Huazhong University of Science and Technology Hubei Wuhan430074 China Department of Engineering Physics University of Wisconsin-Madison MadisonWI53706 United States College of Science Donghua University Shanghai201620 China Key Laboratory of Materials Modification by Laser Ion and Electron Beams Ministry of Education School of Physics Dalian University of Technology Dalian116024 China Guangdong Provincial Key Laboratory of Quantum Engineering and Quantum Materials School of Physics and Telecommunication Engineering South China Normal University Guangzhou510006 China Southwestern Institute of Physics P.O. Box 432 Chengdu610041 China CAS Key Laboratory of Geospace Environment Department of Engineering and Applied Physics University of Science and Technology of China Hefei230026 China CAS Institute of Plasma Physics Anhui Hefei230031 China Max-Planck-Institute for Plasma Physics Garching Germany School of Computer Science and Technology Anhui Engineering Laboratory for Industrial Internet Intelligent Applications and Security Anhui University of Technology Anhui Ma'anshan243002 China College of Physics and Optoelectronic Engineering Shenzhen University Shenzhen518060 China

The China Fusion engineering Test Reactor (CFETR) and the Huazhong Field Reversed Configuration (HFRC), currently both under intensive physical and engineering designs in China, are the two major projects representative of the low-density steady-state and high-density pulsed pathways to fusion. One of the primary tasks of the physics designs for both CFETR and HFRC is the assessment and analysis of the magnetohydrodynamic (MHD) stability of the proposed design schemes. Comprehensive efforts on the assessment of MHD stability of CFETR and HFRC baseline scenarios have led to preliminary progresses that may further benefit engineering designs. For CFETR, the ECCD power and current for full stabilization on NTM have been predicted in this work, as well as the corresponding controlled magnetic island width. A thorough investigation on RWM stability for CFETR is performed. For 80% of the steady state operation scenarios, active control methods may be required for RWM stabilization. The process of disruption mitigation with massive neon injection on CFETR is simulated. The time scale of and consequences of plasma disruption on CFETR are estimated, which are found equivalent to ITER. Major MHD instabilities such as NTM and RWM remain challenge to steady state tokamak operation. On this basis, next steps on CFETR MHD study are planned on NTM, RWM, and SPI disruption mitigation. For HFRC, plasma heating due to 2D adiabatic compression has been demonstrated in NIMROD simulations. The tilt and rotational instabilities grow on ideal MHD time scale in single fluid MHD model as shown from NIMROD calculations. Two-fluid MHD calculations using NIMROD find FLR stabilizing effects on both tilt and rotational modes. Energetic-particle stabilization of tilt mode was previously demonstrated in C-2 experiments and NIMROD simulations. With stabilization on major MHD instabilities from two-fluid and energetic particle effects, FRC may promise to be an alternative route to compact magnetic f

关键词： Magnetoplasma

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Ransomware Entities Classification with Supervised Learning for Informal Text

Ransomware Entities Classification with Supervised Learning ...

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International Conference on cybersecurity (ICoCSec)

作者： Nurfadilah Ariffini Anazida Zainal Mohd Aizaini Maarof Mohamad Nizam Kassim Department of Computer Science School of Computing Faculty of Engineering Universiti Teknologi Malaysia Johor Malaysia Cyber Security Responsive Services Division CyberSecurity Malaysia 43300 Seri Kembangan Selangor Malaysia

Analyzing text especially in Malware domain is quite challenging. Even with Natural Language Processing approach, it limits with the absence of specific Named Entity recognizer to extract related entities of malware from unstructured data like text. It is essential to automate the process of extracting information such as Ransomware entity from text and the information extracted could be used as knowledge reasoning like profiling the behaviour of Ransomware using the information available on the Internet. Although the text itself is unstructured, informal text like Internet forum has its problems and challenges to perform the analysis and extraction process. Thus, the performance of machine learning in carrying out the classification of entities from this type of text depending on the complexity of the model. Therefore, this paper presents the comparison of few supervised learning techniques (CRF, Naive Bayes, and SVM) for model training in extracting Ransomware entities from unstructured text in terms of their performance.

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Reviewing national cybersecurity awareness for users and executives in Africa

arXiv

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arXiv 2019年

作者： Bada, Maria Solms, Basie Von Agrafiotis, Ioannis Cambridge Cybercrime Centre Computer Laboratory Cambridge University UK Global Cyber Security Capacity Centre University of Oxford United Kingdom Academy for Computer Science and Software Engineering University of Johannesburg South Africa Department of Computer Science University of Oxford

There is an unprecedented increase in cybercrime globally observed over the last years. One of the regions driving this increase is Africa, where significant financial losses are reported. Yet, citizens of African countries are not aware of the risks present in cyberspace. The design and implementation of national awareness campaigns by African countries to address this problem are in their infancy state, mainly due to the absence of capacity building efforts. As part of the Global cybersecurity Capacity Centre (GCSCC) programme, we conducted a series of focus groups in six African countries, in order to assess their cybersecurity posture, a critical component of which is user and executive awareness of cyber risks. This paper is an extended version of previous work where an initial analysis of awareness for cyber risk in African countries was presented. In this extended version, we reflect on best practice approaches for developing national awareness campaigns and use these as a framework to analyse qualitative data from the focus groups. We discuss the current state of African countries with regards to the implementation of national cybersecurity awareness campaigns for users and executives, the main obstacles in combating cybercrime and conclude with recommendations on how African countries can identify and prioritise activities to increase their capacity regarding cybersecurity awareness. Copyright © 2019, The Authors. All rights reserved.

关键词： cybersecurity

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Winning the carbon race: Game-based strategies for emission reduction in maritime industry

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Research in Transportation Business and Management 2025年 61卷

作者： Ruslan, Siti Marsila Mhd Osman, Mohd Tarmizi Mansor, Wan Nurdiyana Wan Mokhtar, Kasypi Saidi, Norjipin Roslan, Ummu Atiqah Mohd Hassim, Muhamad Fairus Noor Mclellan, Benjamin Craig Faculty of Maritime Studies Universiti Malaysia Terengganu Malaysia Security Safety & Environmental Division Marine Department Malaysia Faculty of Ocean Engineering Technology Universiti Malaysia Terengganu Malaysia Special Interest Group on Modelling and Data Analytics Faculty of Computer Science and Mathematics Universiti Malaysia Terengganu Malaysia Special Interest Group on Modelling and Data Analytics Faculty Science and Marine Environment Universiti Malaysia Terengganu Malaysia Energy Economics Research Group Graduate School of Energy Science Department of Socio-Environmental Energy Science Kyoto University Japan

The maritime industry contributes to global greenhouse gas (GHG) emissions, accounting for approximately 2.89 % of global emissions. With the International Maritime Organization (IMO) setting ambitious goals to reduce carbon emissions by 50 % by 2050, there is a pressing need for effective strategies in the maritime industry. This study examines the strategic interactions between governments, port authorities, and shipping companies by utilizing game theory to explore dynamic and evolving behaviors in carbon emission reduction efforts. By establishing a trilateral game model, the research provides insights into the complex interplay of incentives and deterrents that influence stakeholder actions. Key scenarios analyzed include the net incremental benefits of adopting specific strategies by port authorities and the additional costs incurred by shipping companies when implementing green practices. The findings indicate that port authorities can achieve significant benefits by adopting collaborative strategies, supported by government incentives to offset initial high costs, while for shipping companies, the analysis underscores the importance of weighing additional costs against potential operational efficiencies and market advantages. The study offers targeted policy recommendations to promote the development of a low-carbon maritime industry, highlighting the potential of green fuels and advanced technologies in achieving sustainable maritime operations. This research fills a critical gap in understanding the strategic behaviors driving emission reductions in maritime industry, contributing to broader efforts in combating global climate change. © 2025 Elsevier Ltd

关键词： Game theory GHG emission Government IMO Port Shipping

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Verification of OAuth 2.0 Using UPPAAL 52nd

Verification of OAuth 2.0 Using UPPAAL

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52nd Annual Convention of the computer Society of India: Social Transformation - Digital Way, CSI 2017

作者： Jayasri, K.S. Jevitha, K.P. Jayaraman, B. TIFAC-CORE in Cyber Security Amrita Vishwa Vidyapeetham Coimbatore India Department of Computer Science and Engineering Amrita Vishwa Vidyapeetham Coimbatore India Department of Computer Science and Engineering State University of New York at Buffalo Buffalo United States

ISBN: (纸本)9789811313424

Web services are software services that are accessible over the internet through a set of application program interfaces (APIs). The security of these APIs is a major concern because of their loose coupling, and protection mechanisms are needed to safeguard them from attacks. The simplest of these mechanisms are authentication and authorization. A client that requests access to a web API should be authorized by an end-user who has been authenticated by an authorization server. OAuth 2.0 can be used to achieve this protection. The security properties of a widely used protocol such as OAuth 2.0 should be verified, since many systems depend on this protocol for protection. This paper focuses on verifying three important classes of properties of OAuth 2.0, namely safety, liveness, and absence of deadlock. A model of the OAuth protocol was developed using UPPAAL, a tool used for modeling and verification. This model consists of four finite state machines, one representing each of the roles in OAuth 2.0, and the properties of interest were verified using this model. © 2018, Springer Nature Singapore Pte Ltd.

关键词： Application programs

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Path planning of submarine cables 21

Path planning of submarine cables

引用

21st International Conference on Transparent Optical Networks, ICTON 2019

作者： Wang, Qing Wang, Zengfu Guo, Jun Tahchi, Elias Wang, Xinyu Moran, Bill Zukerman, Moshe Department of Electronic Engineering City University of Hong Kong Hong Kong Hong Kong Research and Development Institute Northwestern Polytechnical University in Shenzhen Shenzhen China School of Computer Science and Network Security Dongguan University of Technology Dongguan China Limited North Point Hong Kong Hong Kong Department of Electrical and Electronic Engineering University of Melbourne VIC Australia

ISBN: (纸本)9781728127798

Submarine optical-fiber cables are key components in the conveying of Internet data, and their failures have costly consequences. Currently, there are over a million km of such cables empowering the Internet. To carry the ever-growing Internet traffic, additional 100,000s of km of cables will be needed in the next few years. At an average cost of $28,000 per km, this entails investments of billions of dollars. In current industry practice, cable paths are planned manually by experts. This paper surveys our recent work on cable path planning algorithms, where we use several methods to plan cable paths taking account of a range of cable risk factors in addition to cable costs. Two methods, namely, the fast marching method (FMM) and the Dijkstra's algorithm are applied here to long-haul cable path design in a new geographical region. A specific example is given to demonstrate the benefit of the FMM-based method in terms of the better path planning solutions over the Dijkstra's algorithm. © 2019 IEEE.

关键词： Submarines

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ELCPH: An Efficient Lightweight Conditional Privacy-Preserving Authentication Scheme Based on Hash Function and Local Group Secrete Key for VANET

ELCPH: An Efficient Lightweight Conditional Privacy-Preservi...

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作者： Saad Ali Alfadhli Shayem Alresheedi Songfeng Lu Abdulaziz Fatani Mahmut Ince School of Computer Science and Technology Huazhong University of Science and Technology Department of Computer Techniques Engineering Imam Al-Kadhum College School of Cyber Science and Engineering Huazhong University of Science and Technology Shenzhen Huazhong University of Science and echnology Research Institute

Vehicular ad-hoc networks（VANETs） have got a wide range of attention to improve traffic systems and smart cities. security and privacy are critical issues and need to be addressed for effective VANET systems. In this paper, we propose an efficient conditional privacy-Preserving authentication scheme based on a group secret key. Many VANETs schemes have utilized a group signature to realize the identity-less authentication, but the existing schemes suffering from long and high computational procedures, especially in the Certificate Revocation List（CRL） verification process, and group management complexity issues. As a result, they cannot satisfy the VANETs efficiency requirements. On another hand, many pseudonym-ID based VANETs schemes utilized a system key signature, but those schemes suffering from communication overhead increasing which could be caused by the increasing of the revocation list, in addition to that, and any damage in the key will cause damage for the entire system. In our scheme, we use a permanent vehicle pseudonym-ID and temporary group secret key that offers a lightweight verification and authentication process for a secure and efficient VANET system.

关键词： VANETs group key message verification privacy-preserving

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An artificial intelligence perspective on mobile edge computing 3

An artificial intelligence perspective on mobile edge comput...

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3rd IEEE International Conference on Smart Internet of Things, SmartIoT 2019

作者： Chen, Zhuang He, Qian Liu, Lei Lan, Dapeng Chung, Hwei-Ming Mao, Zhifei School of Computer and Information Security Guilin University of Electronic Technology Guilin Guangxi541004 China Guangxi Key Laboratory of Cryptography and Information Security Guilin University of Electronic Technology Guilin Guangxi541004 China State and Local Joint Engineering Research Center for Satellite Navigation and Location Service Guilin University of Electronic Technology Guilin Guangxi541004 China CETC Key Laboratory of Aerospace Information Applications China School of Telecommunications Engineering Xidian University Xi'an China Department of Informatics University of Oslo Oslo Norway Trondheim Norway

ISBN: (纸本)9781728134888

The interest of artificial intelligence (AI) and mobile edge computing (MEC) has increased in recent years. As a fundamental building block for the development of mobile edge computing, new techniques are needed in the mobile network. Driven by the techniques of Internet of Things (IoT) and AI, MEC, as an emerging paradigm, enables cloud services and AI frontier in close proximity to users, by pushing computing and cache resources from the cloud to the network edge. With the continuous and in-depth research on intelligent mobile networks, green edge intelligence would be a new paradigm of MEC. AI is playing a more important role in the mobile edge computing. In this paper, we conduct a comprehensive survey of recent work on AI and MEC. Specially, we first review the various AI techniques. We then propose a novel concept of green edge intelligence. Finally, by using a case study on edge caching with AI techniques, we demonstrate the thrilling effectiveness of AI. We hope that this paper can provide researchers a meaningful guidance and inspire further research interests on green edge intelligence. © 2019 IEEE.

关键词： Mobile edge computing

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