تشخیص رفتار ناهنجاری از طریق افزایش مکانیسم فیلتر کردن بسته
Detecting an Anomaly Behavior through Enhancing the Mechanism of Packet Filtering
نویسندگان |
این بخش تنها برای اعضا قابل مشاهده است ورودعضویت |
اطلاعات مجله |
thescipub.com |
سال انتشار |
2015 |
فرمت فایل |
PDF |
کد مقاله |
20798 |
پس از پرداخت آنلاین، فوراً لینک دانلود مقاله به شما نمایش داده می شود.
چکیده (انگلیسی):
The fundamental task of the Network Traffic Analysis is the
ability of capturing and monitoring all the network traffics (incoming and
outgoing) for local area network LAN and how the network analyzer is able
to analyze and detect errors or any type of suspicious activities such as
intruders. The idea of this research is to use flexible packet filtering to filter
out the captured network traffics. The proposed packet inspection will
isolate the captured traffics based on their source using traffic source
separation ‘TSS’ strategy, during the separation operation the traffic
signature will be examined with the stored signatures of the system
database using Traffic Signature Matching. The experiment results shows
that by using a User Profile Filter (UPF) that will be based on SVM and
examining the traffic signature, the total of error received from the traffic
classifier has been reduced to 0.5% and the traffic capturing speed has been
increased in comparing with the standard methods of the traffic analyzers.
کلمات کلیدی مقاله (فارسی):
تجزیه و تحلیل ترافیک شبکه، فیلتر کردن بسته، تشخیص ناهنجاری، مشخصات کاربر فیلتر ماشین بردار پشتیبان، ترافیک امضا تطبیق
کلمات کلیدی مقاله (انگلیسی):
Keywords: Network Traffic Analysis, Packet Filtering, Anomaly Detection, User Profile Filter, Support Vector Machine, Traffic Signature Matching
پس از پرداخت آنلاین، فوراً لینک دانلود مقاله به شما نمایش داده می شود.