Development of System for Detection and Prevention of Cyber Attacks Using Artifıcial Intelligence Methods

Abdiyeva-Aliyeva, Gunay; Hematyar, Mehran; Bakan, Sefa

doi:10.1109/gcat52182.2021.9587584

Cited by 5 publications

(3 citation statements)

References 15 publications

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“…Adware is an undesirable malware software [49] that is a major issue for cyber users. It is often referred to as advertising-supported software that is generated automatically from the internet and can infect any computer or device without the user's knowledge, although different types of advertising are not illegal online [50].…”

Section: Integrity Attackmentioning

confidence: 99%

“…Moreover, the integration of artificial intelligence [49] and blockchain into potential applications of distributed networks can be added as a direction to cyber security, where particularly graph deep learning models can be employed. Recently, graph deep learning models [394] as machine learning algorithms have indicated assurance in cybersecurity applications, particularly in the security of a decentralized network.…”

Section: Network Intelligencementioning

confidence: 99%

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Blockchain-Enabled Cybersecurity Provision for Scalable Heterogeneous Network: A Comprehensive Survey

Shohidul Islam,

Arafatur Rahman,

Ariff Bin Ameedeen

et al. 2024

Computer Modeling in Engineering &Amp; Sciences

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Blockchain-enabled cybersecurity system to ensure and strengthen decentralized digital transaction is gradually gaining popularity in the digital era for various areas like finance, transportation, healthcare, education, and supply chain management. Blockchain interactions in the heterogeneous network have fascinated more attention due to the authentication of their digital application exchanges. However, the exponential development of storage space capabilities across the blockchain-based heterogeneous network has become an important issue in preventing blockchain distribution and the extension of blockchain nodes. There is the biggest challenge of data integrity and scalability, including significant computing complexity and inapplicable latency on regional network diversity, operating system diversity, bandwidth diversity, node diversity, etc., for decision-making of data transactions across blockchain-based heterogeneous networks. Data security and privacy have also become the main concerns across the heterogeneous network to build smart IoT ecosystems. To address these issues, today's researchers have explored the potential solutions of the capability of heterogeneous network devices to perform data transactions where the system stimulates their integration reliably and securely with blockchain. The key goal of this paper is to conduct a state-of-the-art and comprehensive survey on cybersecurity enhancement using blockchain in the heterogeneous network. This paper proposes a full-fledged taxonomy to identify the main obstacles, research gaps, future research directions, effective solutions, and most relevant blockchain-enabled cybersecurity systems. In addition, Blockchain based heterogeneous network framework with cybersecurity is proposed in this paper to meet the goal of maintaining optimal performance data transactions among organizations. Overall, this paper provides an in-depth description based on the critical analysis to overcome the existing work gaps for future research where it presents a potential cybersecurity design with key requirements of blockchain across a heterogeneous network.

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Section: Integrity Attackmentioning

confidence: 99%

Section: Network Intelligencementioning

confidence: 99%

Blockchain-Enabled Cybersecurity Provision for Scalable Heterogeneous Network: A Comprehensive Survey

Shohidul Islam,

Arafatur Rahman,

Ariff Bin Ameedeen

et al. 2024

Computer Modeling in Engineering &Amp; Sciences

View full text Add to dashboard Cite

show abstract

“…Madhok conducted a study to find the impact of intelligent agents in combating cybercrimes in banking industries [38]. The authors stressed that "intelligent malware and other advanced threats are increasing day by day this became necessary for the defence sector to use agent systems i.e., an autonomous entity which monitors through sensors and response upon an environment using actuators that is an agent with more advance intelligent [39]. Features that separate these Agent systems from the rest of other security tools are that intelligent agents can communicate among themselves in case they need to make plans or take some counter action for some threat in the system or network.…”

Section: Combating Cybercrimes Using Intelligent Agent Applications (...mentioning

confidence: 99%

An Intelligence-Based Cybersecurity Approach: A Review

Mohammed,

Badara,

Dan’azumi

2024

J. Intell. Commun.

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Nowadays, cybersecurity stands out as a prominent topic frequently discussed by companies aiming to safeguard their data from hacking attempts. The rise of cyberspace has fuelled the expansion of electronic systems, creating a virtual digital realm that links computers and smartphones within the Internet of Things framework. Thus, the purpose of this study is to present the progress made thus far in applying AI-based intrusion detection systems (IDSs) to address cybercrimes, demonstrating their efficacy in detecting and preventing cyberattacks. The review utilized 4 scholarly databases; ScienceDirect, IEEE-Explore, Web of science, and Springer. 437 studies were extracted from the 4 chosen databases out of which only 54 studies were found to be relevant, thus included. The review found AI-based intrusion detection systems (IDSs) to be more robust and flexible compared to other conventional IDSs. Interestingly, the study results highlight how AI-based intrusion detection systems such as; ANN-based intrusion detection systems, agent-based intrusion detection systems, and Genetic-fuzzy intrusion detection systems, and other machine learning detection systems can be used to assist security experts in analyzing, designing, and developing security frameworks for combating cybercrimes. Lastly, the study proposed some areas for future studies.

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AI-Based Network Security Anomaly Prediction and Detection in Future Network

Abdiyeva-Aliyeva

Hematyar

2023

Engineering Cyber-Physical Systems and Critical Infrastructures

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Development of System for Detection and Prevention of Cyber Attacks Using Artifıcial Intelligence Methods

Cited by 5 publications

References 15 publications

Blockchain-Enabled Cybersecurity Provision for Scalable Heterogeneous Network: A Comprehensive Survey

Blockchain-Enabled Cybersecurity Provision for Scalable Heterogeneous Network: A Comprehensive Survey

An Intelligence-Based Cybersecurity Approach: A Review

AI-Based Network Security Anomaly Prediction and Detection in Future Network

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