Developing a Host Intrusion Prevention System by Using Data Mining

Al-Hamami, Alaa Hussein; Alawneh, Tahani

doi:10.1109/acsat.2012.103

Cited by 4 publications

(2 citation statements)

References 4 publications

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“…The paper [20] focused on the development of an intrusion prevention system to overcome the static signature detecting mechanisms to identify intruders that exists in all host-based IPSs. This system was proposed within the context of quick evolution of IPS to provide high levels of security such as, which may replace existing security solutions, such as firewalls and anti-viruses.…”

Section: Literature Reviewmentioning

confidence: 99%

Mobile Adhoc Networks and Networking – Integrating Risk Profiles into Intrusion Prevention Systems to Improve Predictive Intrusion Prevention

Jedidiah,

Michael

2023

GJCST

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Intrusion Prevention in computer networking refers to the set of techniques and technologies used to detect and prevent unauthorized access, malicious activities, and attacks on a network. It involves actively monitoring network traffic, identifying potential threats or anomalies, and taking action to mitigate or block those threats. In the realms of Mobile Adhoc Networks and general computer networking, substantial work has pointed to the gaps experienced with respect to proactively identifying and mitigating risks and network malicious behaviours and attacks. Further research was conducted to establish the current state of contemporary intrusion detection, prediction and prevention techniques and their effectiveness to pro-actively identify and mitigate network attacks and malicious activity. However, it was found that the techniques utilized were very few or required futher accuracy improvements and for the identified effective techniques, they required substantial amount of data processing power and a robust network architecture to support its implementation. The work of this paper, introduces the integration of the MANET Risk Scoring methodology based on Axiom theory into the realm of general networking. All in an effort to increase the efficiency and accuracy of existing predictive intrusion prevention systems such as next generation Firewalls in corporate networks.

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Section: Literature Reviewmentioning

confidence: 99%

Mobile Adhoc Networks and Networking – Integrating Risk Profiles into Intrusion Prevention Systems to Improve Predictive Intrusion Prevention

Jedidiah,

Michael

2023

GJCST

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show abstract

“…Maintaining the network security systems and protecting information from intruders, and threats as spyware is important [22]. In general, rapidly using of Internet Technology (IT) and the ever increasing skill of attackers, previously unknown threats to network stability continue to abound.…”

Section: Introductionmentioning

confidence: 99%