Toward a policy-based distributed intruison detection system in cloud computing using data mining approaches

2015 ◽  
Author(s):  
Hamid Reza Ghorbani ◽  
Roya Salek Shahrezaie
Keyword(s):  
Data Mining ◽  
Cloud Computing ◽  
Detection System ◽  
Using Data

scholarly journals Hybrid classification model to detect advanced intrusions using data mining techniques

2018 ◽  
Vol 7 (2.4) ◽  
pp. 10
Author(s):  
V Mala ◽  
K Meena
Keyword(s):  
Data Mining ◽  
Learning Algorithm ◽  
Detection System ◽  
Classification Model ◽  
Detection Methods ◽  
Data Mining Techniques ◽  
Detection Systems ◽  
Intruder Detection ◽  
Hybrid Classification ◽  
Using Data

Traditional signature based approach fails in detecting advanced malwares like stuxnet, flame, duqu etc. Signature based comparison and correlation are not up to the mark in detecting such attacks. Hence, there is crucial to detect these kinds of attacks as early as possible. In this research, a novel data mining based approach were applied to detect such attacks. The main innovation lies on Misuse signature detection systems based on supervised learning algorithm. In learning phase, labeled examples of network packets systems calls are (gave) provided, on or after which algorithm can learn about the attack which is fast and reliable to known. In order to detect advanced attacks, unsupervised learning methodologies were employed to detect the presence of zero day/ new attacks. The main objective is to review, different intruder detection methods. To study the role of Data Mining techniques used in intruder detection system. Hybrid –classification model is utilized to detect advanced attacks.

scholarly journals Static Malware Detection System Using Data Mining Methods

2013 ◽  
Vol 4 (4) ◽  
pp. 113-126 ◽  
Author(s):  
Usukhbayar Baldangombo ◽  
Nyamjav Jambaljav ◽  
Shi-Jinn Horng
Keyword(s):  
Data Mining ◽  
Detection System ◽  
Malware Detection ◽  
Mining Methods ◽  
Using Data

MobSafe: cloud computing based forensic analysis for massive mobile applications using data mining

2013 ◽  
Vol 18 (4) ◽  
pp. 418-427 ◽  
Author(s):  
Jianlin Xu ◽  
Yifan Yu ◽  
Zhen Chen ◽  
Bin Cao ◽  
Wenyu Dong ◽  
...  
Keyword(s):  
Data Mining ◽  
Cloud Computing ◽  
Mobile Applications ◽  
Forensic Analysis ◽  
Using Data

scholarly journals Review on Malware and Malware Detection ‎Using Data Mining Techniques

2017 ◽  
Vol 25 (5) ◽  
pp. 1585-1601
Author(s):  
Wesam S Bhaya ◽  
Mustafa A Ali
Keyword(s):  
Data Mining ◽  
Computer Security ◽  
Computer System ◽  
Private Information ◽  
Detection System ◽  
Denial Of Service ◽  
Malware Detection ◽  
Malicious Software ◽  
Attack Data ◽  
Using Data

Malicious software is any type of software or codes which hooks some: private information, data from the computer system, computer operations or(and) merely just to do malicious goals of the author on the computer system, without permission of the computer users. (The short abbreviation of malicious software is Malware). However, the detection of malware has become one of biggest issues in the computer security field because of the current communication infrastructures are vulnerable to penetration from many types of malware infection strategies and attacks.  Moreover, malwares are variant and diverse in volume and types and that strictly explode the effectiveness of traditional defense methods like signature approach, which is unable to detect a new malware. However, this vulnerability will lead to a successful computer system penetration (and attack) as well as success of more advanced attacks like distributed denial of service (DDoS) attack. Data mining methods can be used to overcome limitation of signature-based techniques to detect the zero-day malware. This paper provides an overview of malware and malware detection system using modern techniques such as techniques of data mining approach to detect known and unknown malware samples.

Summary of Data Reduction Based on Cloud Environment

2014 ◽  
Vol 1079-1080 ◽  
pp. 779-781
Author(s):  
Shu Li Huang
Keyword(s):  
Data Mining ◽  
Cloud Computing ◽  
Big Data ◽  
Data Reduction ◽  
Attribute Reduction ◽  
Cloud Environment ◽  
Mining Technology ◽  
Data Mining Techniques ◽  
Using Data

In today's era of big data, how to quickly find the data they need is a difficult thing from the mass of information, in order to achieve this goal, cloud computing to data mining technology provides a new direction, this article on how cloud environment attribute Reduction using data mining techniques are described.

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