Design of Intrusion Detection System based on Cyborg intelligence for security of Cloud Network Traffic of Smart Cities

Onyema, Edeh Michael; Dalal, Surjeet; Romero, Carlos Andrés Tavera; Seth, Bijeta; Young, Praise; Wajid, Mohd Anas

doi:10.1186/s13677-022-00305-6

Cited by 38 publications

(14 citation statements)

References 36 publications

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“…Blockchain was first used as the underlying supporting technology for Bitcoin. In essence, it is a distributed shared database that serves as a revolutionary lowcost credit technology solution, and is widely used in resource sharing, data traceability, and access control [33,34]. Ethereum, a decentralized application platform based on the blockchain, provides an Ethereum virtual machine (EVM) [35] environment to support the operation of scripting languages.…”

Section: Blockchainmentioning

confidence: 99%

Access control scheme based on blockchain and attribute-based searchable encryption in cloud environment

Yan

Wang

et al. 2023

J Cloud Comp

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With the rapid development of cloud computing technology, how to achieve secure access to cloud data has become a current research hotspot. Attribute-based encryption technology provides the feasibility to achieve the above goal. However, most of the existing solutions have high computational and trust costs. Furthermore, the fairness of access authorization and the security of data search can be difficult to guarantee. To address these issues, we propose a novel access control scheme based on blockchain and attribute-based searchable encryption in cloud environment. The proposed scheme achieves fine-grained access control with low computation consumption by implementing proxy encryption and decryption, while supporting policy hiding and attribute revocation. The encrypted file is stored in the IPFS and the metadata ciphertext is stored on the blockchain, which ensures data integrity and confidentiality. Simultaneously, the scheme enables the secure search of ciphertext keyword in an open and transparent blockchain environment. Additionally, an audit contract is designed to constrain user access behavior to dynamically manage access authorization. Security analysis proves that our scheme is resistant to chosen-plaintext attacks and keyword-guessing attacks. Theoretical analysis and experimental results show that our scheme has high computational and storage efficiency, which is more advantageous than other schemes.

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Section: Blockchainmentioning

confidence: 99%

Access control scheme based on blockchain and attribute-based searchable encryption in cloud environment

Yan

Wang

et al. 2023

J Cloud Comp

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“…The necessity of a more reliable cyber security system than IDSs is cemented by the fact that encrypted packets [119] are unseen by IDSs, hence these violations will not be registered earlier on in the process of intrusion, only to be realized when they have penetrated the network much deeply [120]. Subsequently, attackers mainly use them as the pathway to enter systems and networks [121]. Essentially, in such cases, the systems and networks are vulnerable until the issue is resolved.…”

Section: Common Non-artificial Intelligence Based Techniquesmentioning

confidence: 99%

Assessment of existing cyber-attack detection models for web-based systems

Awuor¹

2023

Global J. Eng. Technol. Adv.

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In the current technological environment, different entities engage in intricate cyber security approaches in order to counter damages and disruptions in web-based systems. The design of the security protocols relies on the guarantee that attacks are prevented in the web-based systems. Prevention and detection using techniques such as access control tools, encryption and firewalls present limitations in the full protection of web-based systems. Furthermore, despite the sophistication of current systems, there are still shortfalls in high false positive and false negative threat detection rates, which is attributed to poor adaptation by systems and networks to the changing threats and behavior of cyber-criminals. In this perspective, this survey paper discusses the existing cyber-attack detection models, and recommends the cyber-attack detection models and techniques that are appropriate for web-based systems. It is evident that deep learning techniques offer better performance and robustness compared to traditional machine learning techniques and other non-artificial intelligence-based techniques. Deep learning techniques learn and extract features automatically without human intervention and can also handle big and multidimensional data more conventionally than the other techniques.

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“…From a personal perspective, threat intelligence can serve as an important defense indicator, and attackers also need threat intelligence to update technical means and achieve the goal of hiding their true identity through attack information forgery and intelligence. From the perspective of enterprises, different security companies can exchange different threat intelligence, such as vulnerability information [2]. P reputation information, license list.…”

Section: Introductionmentioning

confidence: 99%

Research and Design of an Automated Security Event Analysis and Handling Framework Based on Threat Intelligence

Xie,

Liao,

2024

SCPE

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In order to deeply explore and utilize the value of threat intelligence, strengthen research on attack organizations, and grasp the correlation between attack organizations, the author proposes the research and design of an automated security event analysis and handling framework based on threat intelligence. The author extracts the behavioral characteristics of the attack organization based on known APT attacks, and uses the machine learning framework Light GBM to establish a multi classification model to complete the analysis of unknown APT attack organizations. Through the study of multi-dimensional analysis of multi-source threat intelligence, attack organization correlation and judgment, an attack organization correlation and judgment system has been designed and implemented. The system includes six modules: threat intelligence collection module, threat intelligence multi-dimensional analysis module, attack organization fingerprint library module, attack organization correlation module, attack organization analysis module, and user module, providing attack organization correlation and judgment services for network security. The test results show that the intelligence reading and search query function can achieve the reading of various information of attack organizations, and achieve visual display of threat intelligence. The intelligence management function can achieve operations such as adding, deleting, and updating intelligence. The user management function of the system can achieve the management of administrator users and ordinary users. After testing, all functions of the system have been implemented and meet expectations.

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Design of Intrusion Detection System based on Cyborg intelligence for security of Cloud Network Traffic of Smart Cities

Cited by 38 publications

References 36 publications

Access control scheme based on blockchain and attribute-based searchable encryption in cloud environment

Access control scheme based on blockchain and attribute-based searchable encryption in cloud environment

Assessment of existing cyber-attack detection models for web-based systems

Research and Design of an Automated Security Event Analysis and Handling Framework Based on Threat Intelligence

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