Detecting Unknown Attacks using Big Data Analysis

  Miss Bhagyashree S Jawariya,  Prof. P.N. Kalavadekar

Nowadays threat of previously unknown cyber-attacks are increasing because existing security systems are not able to detect them. Previously, leaking personal information by attacking the PC or destroying the system was very common cyber attack . To provide security to network I use Big Data Analysis System for Detecting known attack and unknown attacks with low false alarm . To provide this security I am using Big Data Analysis System . This system consist of four phases viz Data Collection , Clustering, Data Analysis and Detection . Here the packets are send from client to server, then all attributes are extracted for each packet in a network. Then I am comparing attributes of each packet with KDD dataset. If the attributes match then Known attack found . If attacks are Unknown i.e they are not matched with the KDD Dataset then the pop up message or an alarm is generated .

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Unique Identification Number - IJEDR1603058
Page Number(s) - 362-367
Pubished in - Volume 4 | Issue 3 | July 2016
DOI (Digital Object Identifier) -   
Publisher - IJEDR (ISSN - 2321-9939)

  Miss Bhagyashree S Jawariya,  Prof. P.N. Kalavadekar,   "Detecting Unknown Attacks using Big Data Analysis", International Journal of Engineering Development and Research (IJEDR), ISSN:2321-9939, Volume.4, Issue 3, pp.362-367, July 2016, Available at :http://www.ijedr.org/papers/IJEDR1603058.pdf