Výsledky vyhledávání - "Alroobaea Roobaea"

Akademický článek

Implementation of network information security monitoring system based on adaptive deep detection

Autor: Niu Jing, Alroobaea Roobaea, Baqasah Abdullah M., Kansal Lavish

Publikováno v: Journal of Intelligent Systems, Vol 31, Iss 1, Pp 454-465 (2022)

For a better detection in Network information security monitoring system, the author proposes a method based on adaptive depth detection. A deep belief network (DBN) was designed and implemented, and the intrusion detection system model was combined

Externí odkaz: https://doaj.org/article/6a2f37828b594c52901961d953d765c2

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Akademický článek

Research on data mining method of network security situation awareness based on cloud computing

Autor: Zhou Ying, Zhao Guodong, Alroobaea Roobaea, Baqasah Abdullah M., Miglani Rajan

Publikováno v: Journal of Intelligent Systems, Vol 31, Iss 1, Pp 520-531 (2022)

Due to the complexity and versatility of network security alarm data, a cloud-based network security data extraction method is proposed to address the inability to effectively understand the network security situation. The information properties of t

Externí odkaz: https://doaj.org/article/e5b3fec3ee444090ab696c263152df1b

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Akademický článek

An improved association rule mining algorithm for large data

Autor: Zhao Zhenyi, Jian Zhou, Gaba Gurjot Singh, Alroobaea Roobaea, Masud Mehedi, Rubaiee Saeed

Publikováno v: Journal of Intelligent Systems, Vol 30, Iss 1, Pp 750-762 (2021)

The data with the advancement of information technology are increasing on daily basis. The data mining technique has been applied to various fields. The complexity and execution time are the major factors viewed in existing data mining techniques. Wi

Externí odkaz: https://doaj.org/article/f1baa2b003d14ef78577a93207b8a422

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Akademický článek

Application of data mining technology in detecting network intrusion and security maintenance

Autor: Zhu Yongkuan, Gaba Gurjot Singh, Almansour Fahad M., Alroobaea Roobaea, Masud Mehedi

Publikováno v: Journal of Intelligent Systems, Vol 30, Iss 1, Pp 664-676 (2021)

In order to correct the deficiencies of intrusion detection technology, the entire computer and network security system are needed to be more perfect. This work proposes an improved k-means algorithm and an improved Apriori algorithm applied in data

Externí odkaz: https://doaj.org/article/2c2e7184b68d40cf82bd25d616c8b3c7

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Akademický článek

An empirical study on vulnerability assessment and penetration detection for highly sensitive networks

Autor: Wang Liwei, Abbas Robert, Almansour Fahad M., Gaba Gurjot Singh, Alroobaea Roobaea, Masud Mehedi

Publikováno v: Journal of Intelligent Systems, Vol 30, Iss 1, Pp 592-603 (2021)

With the advancement of internet and the emergence of network globalization, security has always been a major concern. During the trial operation, the management control platform discussed in this article included more than 600 network security vulne

Externí odkaz: https://doaj.org/article/799e3428504b4e6da93b47baf739df6d

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Akademický článek

Mitigation of Distributed Denial of Service Attacks in the Cloud

Autor: Alosaimi Wael, Zak Michal, Al-Begain Khalid, Alroobaea Roobaea, Masud Mehedi

Publikováno v: Cybernetics and Information Technologies, Vol 17, Iss 4, Pp 32-51 (2017)

Cybersecurity attacks resulting in loss of availability of cloud services can have significantly higher impact than those in the traditional stand-alone enterprise setups. Therefore, availability attacks, such as Denial of Service attacks (DoS); Dist

Externí odkaz: https://doaj.org/article/fe99b370a0de469eb8a5cf4288b63742

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