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检索条件"任意字段=IEEE International Conference on Cyber Security and Cloud Computing"

共 18388 条记录，以下是31-40 订阅

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Secure cloud computing: Mitigating Network Vulnerabilities 15

Secure Cloud Computing: Mitigating Network Vulnerabilities

引用

15th international conference on computing Communication and Networking Technologies, ICCCNT 2024

作者： Gopal, Santhosh Kumar Mohammed, Abdul Sajid Sreeramulu, Madhusudhan Dasari Srinivasan, Dhamodharan Charlotte NC United States University of the Cumberlands Dept of School of Computer and Information Sciences KY United States American Express Dept of Cyber Security United States Sri Eshwar College of Engineering Department of Computer and Communication Engineering Tamil Nadu Coimbatore641202 India

ISBN: (纸本)9798350370249

As businesses increasingly depend on these cloud-based services, secure cloud computing is vital. There is no free way with the cloud network, and our information is susceptible to vulnerability. Mitigation strategies to address these network vulnerabilities in cloud computing and analysis of the man-in-the-middle attack and Distributed Denial of Service (DDoS) attack are discussed in this paper. For instance: enhance network architecture, encryption, and security mechanisms like intrusion detection systems and firewalls. With these steps, organizations can further increase their cloud network security and protect data with zero breaches. © 2024 ieee.

关键词： Access control cyber security Data protection Encryption Vulnerabilities

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Enhancing security in EV Charging Systems: A Hybrid Detection and Mitigation Approach 15

Enhancing Security in EV Charging Systems: A Hybrid Detectio...

引用

15th ieee international conference on cloud computing Technology and Science, cloudCom 2024

作者： Dong, Huiyao Kotenko, Igor Itmo University Saint Petersburg Russia Laboratory of Computer Security Problems Saint Petersburg Russia

ISBN: (纸本)9798331507589

The rapid proliferation of electric vehicles (EVs) necessitates advanced charging infrastructure, which is increasingly reliant on cloud-based technologies and the Internet of Things (IoT). However, these systems are vulnerable to cyber attacks that could have severe repercussions, including power grid failures. This paper addresses the security vulnerabilities inherent in the EV charging system. We propose a novel hybrid security solution tailored for cloud-based EV charging systems that integrates time-series-based regression models with classification algorithms to detect and mitigate both power consumption anomalies and network intrusions effectively. Our approach includes a comprehensive analysis to identify vulnerabilities and threats for cloud-based EV systems, a dual-model system for anomaly and intrusion detection, and a feedback-based threshold adjustment mechanism to assist overflow and anomaly identification. We provide a detailed analysis of data communication threats from a cloud perspective, design a robust security model, and evaluate various models to select the most effective ones for real-time security management. The finally decided models present excellent accuracy and practical value. Our findings contribute to enhancing the resilience of EV charging systems against cyber-physical threats, ensuring more reliable and secure operations. © 2024 ieee.

关键词： cloud security

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Utilizing AWS cloud-Enhanced VPN and VPC Integration to Improve Data security and Access Control in Library Management Systems 2

Utilizing AWS Cloud-Enhanced VPN and VPC Integration to Impr...

引用

2nd international conference on Intelligent cyber Physical Systems and Internet of Things (ICoICI)

作者： Sahoo, Sasmita Swain, Adyasha Mohapatra, Sunil Kumar Pattanaik, Swarupa Senapati, Arpita Centurion Univ Technol & Management Dept Comp Sci & Engn Bhubaneswar India

ISBN: (纸本)9798331540661;9798331540678

Digital information exchange has become commonplace due to the growth of the internet and information technology breakthroughs. Academic institutions are placing a greater emphasis on developing digital campuses, of which digital libraries are an essential part. Though cloud computing is a well-known idea, what matters more are the security precautions performed within the cloud environment. Numerous technologies have been developed in recent years to offer cloud network security. This paper investigates the integration of Virtual Private Networks (VPNs) for improving data security and access control in library management systems, which enables logical separation between public and private clouds, to facilitate remote access to digital library resources securely and effectively. There are undoubtedly many risks to the public cloud because resources within it are accessible to everybody. With the aid of the Amazon Virtual Private cloud (VPC), these potential risks are effectively avoided. We have presented VPC principles and examples in this article, along with an explanation of the benefits and necessity of VPC. The implementation involves creating a VPC, setting up gateways, configuring route tables, and establishing both private and public subnets. Secure Shell (SSH) keys and EC2 instances are utilized to deploy OpenVPN, followed by RDP connections. This setup provides a secure, encrypted tunnel specifically for the library management website, allowing authorized users to access resources from anywhere.

关键词： Virtual Private Network Virtual Priavte cloud cloud computing Digitization OpenVPN Amazon Web Service cloud Service cyber security Library Management System

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Predictive Risk and Complexity Score Assessment Model for cloud computing

Predictive Risk and Complexity Score Assessment Model for Cl...

引用

2024 international conference on Advances in Data Engineering and Intelligent computing Systems, ADICS 2024

作者： Ayappan, Kavitha Mathana, J.M. Thangakumar, J. Hindustan Institute Of Technology & Science Chennai India

ISBN: (纸本)9798350364828

With the rapid growth in information technology and being called the Digital Era, it is very evident that no one can survive without internet or ICT advancements. The day-to-day life operations and activities are dependent on these technologies. The latest technology trends in the market and industry are computing power, Smart devices, artificial intelligence, Robotic process automation, metaverse, IOT (Internet of things), cloud computing, Edge computing, Block chain and much more in the coming years. When looking at all these aspect and advancements, one common thing is cloud computing and data which must be protected and safeguarded which brings in the need for cyber/cloud security. Hence cloud security challenges have become an omnipresent concern for organizations or industries of any size where it has gone from a small incident to threat landscape. When it comes to data and cyber/ cloud security there are lots of challenges seen to safeguard these data. Towards that it is necessary that everyone must be aware of the latest technological advancements, evolving cyber threats, data as a valuable asset, Human Factor, Regulatory compliance, cyber resilience. To handle all these challenges, security and risk prediction framework is proposed in this paper. This framework PRCSAM (Predictive Risk and Complexity Score Assessment Model) will consider factors like impact and likelihood of the main risks, threats and attacks that is foreseen in cloud security and the recommendation of the Risk management framework with automatic risk assessment and scoring option catering to Information security and privacy risks. This framework will help management and organizations in making informed decisions on the cyber security strategy as this is a data driven, dynamic & proactive approach to cyber security and its complexity calculation. This paper also discusses on the prediction techniques using Generative AI techniques. © 2024 ieee.

关键词： cybersecurity

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Ensuring the Resilience of cloud Platforms Based on cyber Immunity 27

Ensuring the Resilience of Cloud Platforms Based on Cyber Im...

引用

27th international conference on Soft computing and Measurements, SCM 2024

作者： Balyabin, Artyom A. Saint Petersburg Electrotechnical University 'LETI' Information Security Department Saint Petersburg Russia

ISBN: (纸本)9798350363708

This paper examines the problem of ensuring the resilience of cloud platforms under cyberattacks. It is proposed to use the principles of cyber immunity to provide information systems with the ability to detect both known and previously unknown malicious effects, counteract them and carry out self-healing by analogy with the human immune system. An indicator, metric, and measure of the resilience were defined. A model of a cloud platform with cyber immunity was developed on the example of the cloud platform of the Russian Federation 'GosTech'. The experimental results showed that the model ensures the required resilience of cloud platforms under cyberattacks. © 2024 ieee.

关键词： cloud computing cyber immunity cyberattacks ensuring the resilience model resilience

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Efficiency Meets security: A Delegated Transport Authentication Protocol for the cloud 11

Efficiency Meets Security: A Delegated Transport Authenticat...

引用

11th ieee international conference on cyber security and cloud computing, CScloud 2024

作者： Zhang, Hongbing Pan, Wei Gao, Zhiyuan Lu, Zhihui Liu, Yu Hou, Lingyu Feng, Jie Li, Jiawei Shanghai DaoCloud Network Technology Co. Ltd. Shanghai China Jiangsu Polytechnic College of Agriculture and Forestry Jurong China Suzhou Ruilisi Technology Ltd. Suzhou China School of Computer Science Fudan University Shanghai China Wangsu Science Technology Co. Ltd. Shanghai China

ISBN: (纸本)9798350376982

This paper presents a novel authentication method for proxy transmission via an intermediate server, focusing on low overhead for cloud gaming and online services. It improves data speed by optimizing authentication and boosts security with an efficient encryption mechanism, reducing resource usage. Performance evaluations reveal lower latency and higher throughput than traditional methods, effectively countering network attacks. Solutions to address deployment challenges such as network complexity and hardware adaptability include adaptive network optimization and regular security audits. Future initiatives aim to integrate 5G, IoT, and edge computing technologies with AI-driven enhancements for security and responsiveness. Demonstrations in theory and practice have shown this invention superior, promising enhanced data transmission for service providers and users and offering significant market and socio-economic potential. © 2024 ieee.

关键词： Authentication Protocol

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Creating Smart security Along With AI for cloud-Based Internet of Land Transport 3

Creating Smart Security Along With AI for Cloud-Based Intern...

引用

international conference on Advances in computing, Communication and Applied Informatics (ACCAI)

作者： Vikrama, G. S. Sujatha, G. SRM Inst Sci & Technol Informat Secur & Cyber Forens Chennai Tamil Nadu India SRM Inst Sci & Technol Sch Comp Coll Engn & Technol Dept Networking & Commun Kattankulathur Tamil Nadu India

ISBN: (纸本)9798350389432;9798350389449;9798350389456

The Internet of Things is profitable to take a important influence on the transportation sector. Autonomous vehicles, also known as AVs, are being developed with the goal of making everyday tasks easier, such as carrying packages, reducing congestion, and transporting goods. The term "autonomous vehicles" (AVs) refers not only to vehicles that operate on land but also to those that operate in the air and on the water, and these vehicles have a wide variety of uses.. In order to solve this issue, we are working on implementing a cyber security created information transfer to automated vehicles. Here, a cloud serves as a mediator, transferring correspondent files to autonomous vehicles. To ensure the highest level of data protection, we employ a CS-based algorithm that is compliant with Advanced Encryption Standard. This algorithm transforms the transferred data into cypher text. In order to decrypt the cypher text, it is necessary to have the caller's private key for the specific AV being used.

关键词： cyber security Cipher text AES IoT cloud AV

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Data Splitting based Double Layer Encryption for Secure Ciphertext Deduplication in cloud Storage 17

Data Splitting based Double Layer Encryption for Secure Ciph...

引用

ieee 17th international conference on cloud computing (ieee cloud)

作者： Tang, Xin Jin, Luchao Univ Int Relat Sch Cyber Sci & Engn Beijing Peoples R China

ISBN: (纸本)9798350368543;9798350368536

Ciphertext deduplication is an emerging technique to eliminate redundancy in cloud storage with data confidentiality guaranteed. However, the encryption key has to be synchronized among different owners of the same data, which in turn makes the existing deduplication schemes suffer from security problems such as brute-force attacks and the collusion attack. In order to deal with them in a lightweight way, we propose a data splitting based double layer encryption for secure ciphertext deduplication in cloud storage, which is the first work to solve the problem of privacy exposure at a fundamental level. Specifically, we propose a bloom filter based data splitting method and a double layer encryption based deduplication framework. Because of the high collisional property of the feature extraction method, the same content could be extracted from similar data with a great probability. By encrypting it with a shared key, and the remaining part with the secret key of the uploader, the existence privacy is well protected during the process of ciphertext deduplication as a result. According to the experimental results compared with the state-of-the art, the communication and storage overhead can be reduced over 82.28% and 5.55% under the proposed scheme, which shows that secure ciphertext deduplication can be achieved in a lightweight way.

关键词： Ciphertext deduplication cloud storage brute-force attack collusion attack existence privacy

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Digital Watermarking Technology of Data Element Circulation Transaction 10

Digital Watermarking Technology of Data Element Circulation ...

引用

ieee 10th international conference on Edge computing and Scalable cloud (ieee EdgeCom) / 11th ieee international conference on cyber security and cloud computing (ieee CScloud)

作者： Cho, HsunFang Zhang, Li Jiang, Xiaozhen Fuzhou Univ Int Studies & Trade Sch Finance Dept Digital Econ Fuzhou Peoples R China

ISBN: (纸本)9798350377149;9798350377132

Data has become a key factor of production in the digital economy, exerting a broad and profound impact on China's economic development, social governance, and people's production and life styles. The circulation and transaction of data elements is an important link. The market is booming and has great economic and social value, but it is also accompanied by potential security risks. Its characteristics are hidden, invisible, flexible, instant and non-exclusive, which bring both opportunities and challenges to development. It is imperative to research on the security technology of data products to avoid the potential risks in the circulation and transaction of data elements and promote the healthy development of digital economy. According to the characteristics of different data formats, we adopt different principles to design these watermarking systems. Through the analysis of image files, PDF files, Word files, Excel files and JSON data, we design the corresponding embedding algorithm, which has the characteristics of security, blind extraction and compatibility. It can effectively resist the collusion attack of attackers, protect the security of data elements circulation trading products, realize treason tracking, and find the source of file leakage. These watermarking systems are very difficult to parse and robust, and provide an effective guarantee for data security.

关键词： Digital Watermarking Data Element Circulation Transaction Edge computing

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cyber Attack Detection using Secret Sharing Schemes 9

Cyber Attack Detection using Secret Sharing Schemes

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9th ieee international conference on Big Data security on cloud (BigDatasecurity) / 9th ieee international conference on High Performance and Smart computing (ieee HPSC) / 9th ieee international conference on Intelligent Data and security (ieee IDS)

作者： Chum, Chi Sing Wei, Xinzhou Zhang, Xiaowen CUNY Comp Sci Dept Grad Ctr New York NY 10016 USA CUNY Elect & Telecommun Dept New York City Coll Technol Brooklyn NY USA CUNY Comp Sci Dept Coll Staten Isl Staten Isl NY USA

We propose a model along with its algorithm, which can detect suspicious activities and safeguard sensitive information within a complicated infrastructure of an organization based on the secret sharing schemes. The m... 详细信息

ISBN: (纸本)9798350312935

关键词： cyber attack detection secret sharing schemes multifactor authentication implementation algorithm

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