Implementation of an IP Management and Risk Assessment System Based on PageRank

Chia Ling Hou, Cheng Chung Kuo, I. Hsien Liu, Chu Sing Yang

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

Recently, network technology had brought a variety of attacks on the Internet, unfortunately, no one is safe in this trend. Network managers try to find the attackers and search for the suspicious behaviors in the network connections to defend their services. Intrusion Detection System (IDS) can help network managers to find out the network attacks, but for some special cases, IDS has its limitation. Proposed system integrated network-based IDS (NIDS) and host-based IDS (HIDS) to detect the suspicious behavior and assess the risk value of each IP. This research is dedicated to separating attacks and suspicious behaviors analysis by network-based IDS and host-based IDS. Furthermore, the proposed system will also find the relations among suspicious IP by using the modified PageRank algorithm and correlate the events to estimate the risk for each IP. The ranking of each IP represent the risk level and network managers can protect the hosts by the ranking. The experiment results show that the proposed system can achieve the goal of managing attack and tracking the suspicious ones. It can help users to take appropriate action in time.

Original languageEnglish
Title of host publicationSecurity with Intelligent Computing and Big-data Services - Proceedings of the 2nd International Conference on Security with Intelligent Computing and Big Data Services SICBS-2018
EditorsLakhmi C. Jain, Ching-Nung Yang, Sheng-Lung Peng, Lakhmi C. Jain, Lakhmi C. Jain, Lakhmi C. Jain
PublisherSpringer Verlag
Pages438-450
Number of pages13
ISBN (Print)9783030169459
DOIs
Publication statusPublished - 2020 Jan 1
Event2nd International Conference on Security with Intelligent Computing and Big-data Services, SICBS 2018 - Guilin, China
Duration: 2018 Dec 142018 Dec 16

Publication series

NameAdvances in Intelligent Systems and Computing
Volume895
ISSN (Print)2194-5357

Conference

Conference2nd International Conference on Security with Intelligent Computing and Big-data Services, SICBS 2018
CountryChina
CityGuilin
Period18-12-1418-12-16

Fingerprint

Intrusion detection
Risk assessment
Managers
Internet
Experiments

All Science Journal Classification (ASJC) codes

  • Control and Systems Engineering
  • Computer Science(all)

Cite this

Hou, C. L., Kuo, C. C., Liu, I. H., & Yang, C. S. (2020). Implementation of an IP Management and Risk Assessment System Based on PageRank. In L. C. Jain, C-N. Yang, S-L. Peng, L. C. Jain, L. C. Jain, & L. C. Jain (Eds.), Security with Intelligent Computing and Big-data Services - Proceedings of the 2nd International Conference on Security with Intelligent Computing and Big Data Services SICBS-2018 (pp. 438-450). (Advances in Intelligent Systems and Computing; Vol. 895). Springer Verlag. https://doi.org/10.1007/978-3-030-16946-6_34
Hou, Chia Ling ; Kuo, Cheng Chung ; Liu, I. Hsien ; Yang, Chu Sing. / Implementation of an IP Management and Risk Assessment System Based on PageRank. Security with Intelligent Computing and Big-data Services - Proceedings of the 2nd International Conference on Security with Intelligent Computing and Big Data Services SICBS-2018. editor / Lakhmi C. Jain ; Ching-Nung Yang ; Sheng-Lung Peng ; Lakhmi C. Jain ; Lakhmi C. Jain ; Lakhmi C. Jain. Springer Verlag, 2020. pp. 438-450 (Advances in Intelligent Systems and Computing).
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Hou, CL, Kuo, CC, Liu, IH & Yang, CS 2020, Implementation of an IP Management and Risk Assessment System Based on PageRank. in LC Jain, C-N Yang, S-L Peng, LC Jain, LC Jain & LC Jain (eds), Security with Intelligent Computing and Big-data Services - Proceedings of the 2nd International Conference on Security with Intelligent Computing and Big Data Services SICBS-2018. Advances in Intelligent Systems and Computing, vol. 895, Springer Verlag, pp. 438-450, 2nd International Conference on Security with Intelligent Computing and Big-data Services, SICBS 2018, Guilin, China, 18-12-14. https://doi.org/10.1007/978-3-030-16946-6_34

Implementation of an IP Management and Risk Assessment System Based on PageRank. / Hou, Chia Ling; Kuo, Cheng Chung; Liu, I. Hsien; Yang, Chu Sing.

Security with Intelligent Computing and Big-data Services - Proceedings of the 2nd International Conference on Security with Intelligent Computing and Big Data Services SICBS-2018. ed. / Lakhmi C. Jain; Ching-Nung Yang; Sheng-Lung Peng; Lakhmi C. Jain; Lakhmi C. Jain; Lakhmi C. Jain. Springer Verlag, 2020. p. 438-450 (Advances in Intelligent Systems and Computing; Vol. 895).

Research output: Chapter in Book/Report/Conference proceedingConference contribution

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PY - 2020/1/1

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N2 - Recently, network technology had brought a variety of attacks on the Internet, unfortunately, no one is safe in this trend. Network managers try to find the attackers and search for the suspicious behaviors in the network connections to defend their services. Intrusion Detection System (IDS) can help network managers to find out the network attacks, but for some special cases, IDS has its limitation. Proposed system integrated network-based IDS (NIDS) and host-based IDS (HIDS) to detect the suspicious behavior and assess the risk value of each IP. This research is dedicated to separating attacks and suspicious behaviors analysis by network-based IDS and host-based IDS. Furthermore, the proposed system will also find the relations among suspicious IP by using the modified PageRank algorithm and correlate the events to estimate the risk for each IP. The ranking of each IP represent the risk level and network managers can protect the hosts by the ranking. The experiment results show that the proposed system can achieve the goal of managing attack and tracking the suspicious ones. It can help users to take appropriate action in time.

AB - Recently, network technology had brought a variety of attacks on the Internet, unfortunately, no one is safe in this trend. Network managers try to find the attackers and search for the suspicious behaviors in the network connections to defend their services. Intrusion Detection System (IDS) can help network managers to find out the network attacks, but for some special cases, IDS has its limitation. Proposed system integrated network-based IDS (NIDS) and host-based IDS (HIDS) to detect the suspicious behavior and assess the risk value of each IP. This research is dedicated to separating attacks and suspicious behaviors analysis by network-based IDS and host-based IDS. Furthermore, the proposed system will also find the relations among suspicious IP by using the modified PageRank algorithm and correlate the events to estimate the risk for each IP. The ranking of each IP represent the risk level and network managers can protect the hosts by the ranking. The experiment results show that the proposed system can achieve the goal of managing attack and tracking the suspicious ones. It can help users to take appropriate action in time.

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PB - Springer Verlag

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Hou CL, Kuo CC, Liu IH, Yang CS. Implementation of an IP Management and Risk Assessment System Based on PageRank. In Jain LC, Yang C-N, Peng S-L, Jain LC, Jain LC, Jain LC, editors, Security with Intelligent Computing and Big-data Services - Proceedings of the 2nd International Conference on Security with Intelligent Computing and Big Data Services SICBS-2018. Springer Verlag. 2020. p. 438-450. (Advances in Intelligent Systems and Computing). https://doi.org/10.1007/978-3-030-16946-6_34