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Topics in Cryptology - CT-RSA 2006: The Cryptographers' Track at the RSA Conference 2006, Proceedings

作者： Wang, Lih-Chung Yang, Bo-Yin Hu, Yuh-Hua Lai, Feipei Department of Applied Mathematics National Donghua University Hualien Taiwan Department of Mathematics Tamkang University Tamsui Taiwan Taiwan Information Security Center Taipei Taiwan Department of Computer Science and Engineering National Taiwan University Taipei Taiwan

ISBN: (纸本)9783540310334

Electronic commerce fundamentally requires two different public-key cryptographical primitives, for key agreement and authentication. We present the new encryption scheme MFE, and provide a performance and security review. MFE belongs to the MQ class, an alternative class of PKCs also termed Polynomial-Based, or multivariate. They depend on multivariate quadratic systems being unsolvable. The classical trapdoors central to PKC's are modular exponentiation for RSA and discrete logarithms for ElGamal/DSA/ECC. But they are relatively slow and will be obsoleted by the arrival of QC (Quantum computers). The argument for MQ-schemes is that they are usually faster, and there are no known QC-assisted attacks on them. There are several MQ digital signature schemes being investigated today. But encryption (or key exchange schemes) are another story - in fact, only two other MQ-encryption schemes remain unbroken. They are both built along "big-field" lines. In contrast MFE uses mediumsized field extensions, which makes it faster. For security and efficiency, MFE employs an iteratively triangular decryption process which involves rational functions (called by some "tractable rational maps") and taking square roots. We discuss how MFE avoids previously known pitfalls of this genre while addressing its security concerns. © Springer-Verlag Berlin Heidelberg 2006.

关键词： Public key cryptography

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Evaluating Cryptocurrency Market Risk on the Blockchain: An Empirical Study Using the ARMA-GARCH-VaR Model

IEEE Open Journal of the Computer Society

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IEEE Open Journal of the computer Society 2024年 5卷 83-94页

作者： Huang, Yongrong Wang, Huiqing Chen, Zhide Feng, Chen Zhu, Kexin Yang, Xu Yang, Wencheng Fujian Normal University School of Computer and Cyberspace Security Fuzhou350117 China Department of Information Engineering Fuzhou Polytechnic Fuzhou350108 China Department of Computer Science and Engineering National Sun Yat-sen University Kaohsiung80424 Taiwan College of Computer and Data Science Minjiang University Fuzhou350108 China School of Mathematics Physics and Computing University of Southern Queensland ToowoombaQLD4350 Australia

Cryptocurrency, a novel digital asset within the blockchain technology ecosystem, has recently garnered significant attention in the investment world. Despite its growing popularity, the inherent volatility and instability of cryptocurrency investments necessitate a thorough risk evaluation. This study utilizes the Autoregressive Moving Average (ARMA) model combined with the Generalized Autoregressive Conditionally Heteroscedastic (GARCH) model to analyze the volatility of three major cryptocurrencies-Bitcoin (BTC), Ethereum (ETH), and Binance Coin (BNB)-over a period from January 1, 2017, to October 29, 2022. The dataset comprises daily closing prices, offering a comprehensive view of the market's fluctuations. Our analysis revealed that the value-at-risk (VaR) curves for these cryptocurrencies demonstrate significant volatility, encompassing a broad spectrum of returns. The overall risk profile is relatively high, with ETH exhibiting the highest risk, followed by BTC and BNB. The ARMA-GARCH-VaR model has proven effective in quantifying and assessing the market risks associated with cryptocurrencies, providing valuable insights for investors and policymakers in navigating the complex landscape of digital assets. © 2020 IEEE.

关键词： Investments

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Cyber Deception System based on Monte Carlo Simulation in the Mobile Edge Computing (MEC)

Cyber Deception System based on Monte Carlo Simulation in th...

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2023 IEEE International Conference on computer, Information, and Telecommunication Systems, CITS 2023

作者： Kabdjou, Joelle Tagne, Elie Fute Rawat, Danda B. Acosta, Jaime Kamhoua, Charles University of Dschang Department of Mathematics and Computer Science Dschang Cameroon University of Buea Department of Computer Engineering Dschang Buea Cameroon Howard University Department of Electrical Engineering and Computer Science Washington United States Network Security Branch Devcom Army Research Laboratory Adelphi United States

ISBN: (纸本)9798350336092

The frequency of malicious activities by cyber attackers is on the rise, posing a significant challenge to counter cyber attacks in the Mobile Edge Computing (MEC) environment. The vulnerability of wireless networks, which serve as the primary communication media for MEC servers and IoT applications, is due to their open nature of communication. This work proposes a MEC architecture that utilizes Network Function Virtualization (NFV) and Service Function Chain (SFC) to combat cyber adversaries. Additionally, we evaluate the performance of a cyber deception system, which leverages a software-defined networking (SDN) controller and decision- maker to continuously monitor incoming MEC traffic and direct cyber adversaries to a deception MEC server. The deception MEC server collects information about cyber adversaries' intent, capabilities, and potential damage to the system, thus securing legitimate users from cyber attacks. The proposed approach was evaluated using Monte Carlo simulations, and numerous results were obtained which demonstrate the effectiveness of cyber deception in MEC. © 2023 IEEE.

关键词： Network function virtualization

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Intersection-policy private mutual authentication from authorized private set intersection

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Science China(Information Sciences) 2020年第2期63卷 116-130页

作者： Yamin WEN Fangguo ZHANG Huaxiong WANG Yinbin MIAO Zheng GONG School of Statistics and Mathematics Guangdong University of Finance and Economics State Key Laboratory of Cryptology School of Data and Computer Science Sun Yat-sen University Guangdong Key Laboratory of Information Security Sun Yat-sen University School of Physical and Mathematical Sciences Nanyang Technological University Department of Cyber Engineering Xidian University School of Computer South China Normal University

Private mutual authentication(PMA) enables two-way anonymous authentication between two users certified by the same trusted group authority. Most existing PMA schemes focus on acquiring a relatively onefold authentication policy that ensures affiliation-hiding or designated single-attribute ***, in practice, users are typically provided with multiple attributes. In addition to the affiliation-hiding requirement, how to effectively achieve a more flexible authentication policy for multi-attribute applications remains a challenging issue. The intersection policy for authentication is also required when the attribute intersection is not an empty set or its cardinality is no less than a threshold value. To solve the above problems, we first propose an optimal authorized private set intersection protocol with forward security based on identity-based encryption and then design a new PMA protocol with intersection-policy called IP-PMA, which provides a simple solution for secret handshakes between two members(holding multiple attributes) from the same organization. Formal security analyses proved that our two proposed protocols are secure in the random oracle model. Empirical tests demonstrated that the IP-PMA protocol is optimized with linear complexity and may be more suitable for resource-constrained applications.

关键词： private mutual authentication secret handshake intersection policy authorized private set intersection multi-attribute matching

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Efficient escrow-free identity-based signature

Efficient escrow-free identity-based signature

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6th International Conference on Provable security, ProvSec 2012

作者： Zhang, Yunmei Liu, Joseph K. Huang, Xinyi Au, Man Ho Susilo, Willy School of Computer Science and Software Engineering University of Wollongong Australia Cryptography and Security Department Institute for Infocomm Research Singapore School of Mathematics and Computer Science Fujian Normal University Fuzhou Fujian China

ISBN: (纸本)9783642332715

The notion of identity-based signature scheme (IBS) has been proven useful in some scenarios where relying on the validity of the certificates is impractical. Nevertheless, one remaining inherent problem that hinders the adoption of this cryptographic primitive in practice is due to the key escrow problem, where the private key generator (PKG) can always impersonate the user in the system. In 2010, Yuen et al. proposed the notion of IBS that does not suffer from the key escrow problem. Nevertheless, their approach relies on the judge who will later blame the malicious PKG when such a dispute occurs, assuming that the PKG is willing to collaborate. Although the approach is attractive, but unfortunately it is impractical since the malicious PKG may just refuse to collaborate when such an incident happens. In this paper, we propose a new escrow-free IBS, which enjoys three main advantages, namely key escrow free, practical and very efficient. We present a generic intuition as well as an efficient instantiation. In our approach, there is no judge involvement required, as the public can determine the malicious behaviour of PKG when such an incident happens. Further, the signature size of our instantiation is only two group elements, which outperforms the existing constructions in the literature. © 2012 Springer-Verlag.

关键词： Authentication

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The effect of evolutionary coupling on software defects: An industrial case study on a legacy system 14

The effect of evolutionary coupling on software defects: An ...

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8th ACM/IEEE International Symposium on Empirical Software engineering and Measurement, ESEM 2014

作者： Kirbas, Serkan Sen, Alper Caglayan, Bora Bener, Ayse Mahmutogullari, Rasim Department of Computer Engineering Bogazici University Istanbul Turkey Mathematics Mechanical and Industrial Engineering Ryerson University Toronto Canada Garanti Technology Architecture and Security Management Dept. Istanbul Turkey

ISBN: (纸本)9781450327749

Evolutionary coupling is defined as the implicit relationship between two or more software artifacts that are frequently changed together. In this study we investigate the effect of evolutionary coupling on defect proneness of a large financial legacy software in an industrial software development environment. We collected historical data for 5 years from 3 different software repositories containing 150 thousand files on 274 modules. Our results indicate that there is a positive correlation between evolutionary coupling and defect measures. Furthermore, we built linear and logistic regression models by using evolutionary coupling measures in order to explain defects. Although regression analysis results show that evolutionary coupling measures can be useful to explain defects, especially for modules in which high correlation is detected, explanatory power decreases dramatically with the decreasing correlation. © 2014 Authors.

关键词： Defects

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COVID-19 Public Opinion and Emotion Monitoring System Based on Time Series Thermal New Word Mining

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computers, Materials & Continua 2020年第9期64卷 1415-1434页

作者： Yixian Zhang Jieren Cheng Yifan Yang Haocheng Li Xinyi Zheng Xi Chen Boyi Liu Tenglong Ren Naixue Xiong School of Information and Communication Engineering Hainan UniversityHaikou570100China School of Computer Science and Cyberspace Security Hainan UniversityHaikou570100China University of Chinese Academy of Sciences Shenzhen518000China National University of Defense Technology Changsha410000China Department of Mathematics and Computer Science Northeastern State UniversityTahlequahUSA

With the spread and development of new epidemics,it is of great reference value to identify the changing trends of epidemics in public *** designed and implemented the COVID-19 public opinion monitoring system based on time series thermal new word mining.A new word structure discovery scheme based on the timing explosion of network topics and a Chinese sentiment analysis method for the COVID-19 public opinion environment are *** a“Scrapy-Redis-Bloomfilter”distributed crawler framework to collect *** system can judge the positive and negative emotions of the reviewer based on the comments,and can also reflect the depth of the seven emotions such as Hopeful,Happy,and ***,we improved the sentiment discriminant model of this system and compared the sentiment discriminant error of COVID-19 related comments with the Jiagu deep learning *** results show that our model has better generalization ability and smaller discriminant *** designed a large data visualization screen,which can clearly show the trend of public emotions,the proportion of various emotion categories,keywords,hot topics,etc.,and fully and intuitively reflect the development of public opinion.

关键词： COVID-19 public opinion monitoring data mining Chinese sentiment analysis data visualization

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A privacy-preserving access control protocol for 6G supported intelligent UAV networks

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Vehicular Communications 2025年 54卷

作者： Mahmood, Khalid Shamshad, Salman Anisi, Mohammad Hossein Brighente, Alessandro Saleem, Muhammad Asad Das, Ashok Kumar School of Engineering and Computing University of Lancashire Preston PR1 2HE United Kingdom of Intelligent Data Science National Yunlin University of Science and Technology Douliu 64002 Taiwan Department of Software Engineering The University of Lahore Lahore 54590 Pakistan School of Computer Science and Electronic Engineering University of Essex Colchester CO4 3SQ United Kingdom Department of Mathematics and HIT research center Univ. of Padova Italy School of Computer Science and Engineering University of Electronic Science and Technology of China Chengdu 611731 China Center for Security Theory and Algorithmic Research International Institute of Information Technology Hyderabad 500032 India Department of Computer Science and Engineering College of Informatics Korea University Seoul 02841 South Korea

Due to their autonomous operation, high mobility, and real-time communication capabilities, 6G-supported Unmanned Aerial Vehicles (6G-UAVs) (i.e., drones) are increasingly being utilized to enhance data collection and management in Intelligent Transportation Systems (ITSs). Despite their manifold benefits, 6G-supported UAV-based ITS (6G-U-ITS) faces unique security challenges beyond conventional cyber and physical threats. These include real-time authentication, impersonation attacks, physical tampering or cloning and protection against identity spoofing in highly dynamic environments. For instance, an attacker may steal a drone and use its identity to send authenticated malicious messages to the ITS, causing road accidents. Therefore, a secure authentication scheme must ensure resilience against UAV identity theft and unauthorized access while maintaining low-latency and computational efficiency to support the stringent real-time security requirements of 6G-U-ITS. Existing authentication schemes are not specifically designed to address these challenges, making it imperative to develop a lightweight and robust authentication mechanism tailored for 6G-U-ITS. Moreover, most of the existing protocols are vulnerable to physical tampering and impersonation attacks and also require high computation overhead. In this paper, to mitigate these limitations and satisfy the aforementioned requirements, we propose a secure access control protocol for 6G-U-ITS. To the best of our knowledge, this is the first security solution in the literature that can achieve security against UAVs physical attacks. Furthermore, we justify the robustness of the designed protocol against potential attacks through detailed formal and informal security assessment. Via testbed experiments, we show that our protocol achieves 20.66% and 22.82% higher efficiency on communication and computation overhead, respectively, compared to other contemporary competing protocols. © 2025 Elsevier Inc.

关键词： Authentication protocol Intelligent transport systems Key agreement security protocol UAV

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Development of an Automated Method for Compiling a List of Protected Objects Based on a Special Classification of Information Assets in the Field of Information security

Development of an Automated Method for Compiling a List of P...

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2023 International Russian Smart Industry Conference, SmartIndustryCon 2023

作者： Manzhosov, A.V. Bolodurina, I.P. Dolgushev, N.A. Research Center Unity in Development Ekaterinburg Russia Orenburg State University Department of Applied Mathematics Orenburg Russia Orenburg State University Department of Computer Engineering and Information Security Orenburg Russia

ISBN: (纸本)9781665464291

This article reviewed the sources on the research topic, as a result of which it was determined that the research topic is discussed, relevant in the Russian and international agenda. A comparison of asset classifications in legal acts was carried out, which determines the recommended basic list of assets. A special classification of information assets has been developed, which systematizes the classes of financial assets according to the criterion of the possibility of information security risks affecting an information asset. An algorithm for the rational construction of a list of financial assets in the field of information security has been developed. An automated tool has been developed to determine the totality of assets based on special allocations. © 2023 IEEE.

关键词： Classification (of information)

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AGIR: Automating Cyber Threat Intelligence Reporting with Natural Language Generation

AGIR: Automating Cyber Threat Intelligence Reporting with Na...

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2023 IEEE International Conference on Big Data, BigData 2023

作者： Perrina, Filippo Marchiori, Francesco Conti, Mauro Verde, Nino Vincenzo University of Padova Department of Mathematics Padua Italy Delft University of Technology Faculty of Electrical Engineering Mathematics and Computer Science Delft Netherlands Leonardo Cyber&Security Leonardo S.p.A. Rome Italy

ISBN: (纸本)9798350324457

Cyber Threat Intelligence (CTI) reporting is pivotal in contemporary risk management strategies. As the volume of CTI reports continues to surge, the demand for automated tools to streamline report generation becomes increasingly apparent. While Natural Language Processing techniques have shown potential in handling text data, they often struggle to address the complexity of diverse data sources and their intricate interrelationships. Moreover, established paradigms like STIX have emerged as de facto standards within the CTI community, emphasizing the formal categorization of entities and relations to facilitate consistent data sharing. In this paper, we introduce AGIR (Automatic Generation of Intelligence Reports), a transformative Natural Language Generation tool specifically designed to address the pressing challenges in the realm of CTI reporting. AGIR's primary objective is to empower security analysts by automating the labor-intensive task of generating comprehensive intelligence reports from formal representations of entity graphs. AGIR utilizes a two-stage pipeline by combining the advantages of template-based approaches and the capabilities of Large Language Models such as ChatGPT. We evaluate AGIR's report generation capabilities both quantitatively and qualitatively. The generated reports accurately convey information expressed through formal language, achieving a high recall value (0.99) without introducing hallucination. Furthermore, we compare the fluency and utility of the reports with state-of-the-art approaches, showing how AGIR achieves higher scores in terms of Syntactic Log-Odds Ratio (SLOR) and through questionnaires. By using our tool, we estimate that the report writing time is reduced by more than 40%, therefore streamlining the CTI production of any organization and contributing to the automation of several CTI tasks. © 2023 IEEE.

关键词： Cyber Threat Intelligence Natural Language Generation STIX Threat Reports

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