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 .
Miss Bhagyashree S Jawariya, Prof. P.N. Kalavadekar. "Detecting Unknown Attacks using Big Data Analysis".INTERNATIONAL JOURNAL OF ENGINEERING DEVELOPMENT AND RESEARCH ISSN:2321-9939, Vol.4, Issue 3, pp.362-367, URL :https://rjwave.org/ijedr/papers/IJEDR1603058.pdf
Volume 4 Issue 3
Pages. 362-367
