You might also like

More about Holistic Network Defense

• Book details
• Synopsis
• Trending among others

You get 143 loyalty points

Book synopsis

This work presents a hybrid network-host monitoring strategy, which fuses data from both the network and the host to recognize malware infections. This work focuses on three categories: Normal, Scanning, and Infected. The network-host sensor fusion is accomplished by extracting 248 features from network traffic using the Fullstats Network Feature generator and from the host using text mining, looking at the frequency of the 500 most common strings and analyzing them as word vectors. Improvements to detection performance are made by synergistically fusing network features obtained from IP packet flows and host features, obtained from text mining port, processor, logon information among others. In addition, the work compares three different machine learning algorithms and updates the script required to obtain network features. Hybrid method results outperformed host only classification by 31.7% and network only classification by 25%. The new approach also reduces the number of alerts while remaining accurate compared with the commercial IDS SNORT. These results make it such that even the most typical users could understand alert classification messages.

Book details

Book category Books in English Society & social sciences Education

• Full title: Holistic Network Defense
• Subtitle: Fusing Host and Network Features for Attack Classification
• Author: Jenny W Ji
• Language: English
• Binding: Paperback
• Number of pages: 126
• EAN: 9781286862728
• ISBN: 9781286862728
• ID: 08218151
• Publisher: Biblioscholar
• Weight: 240 g
• Dimensions: 246 × 189 × 7 mm
• Date of publishing: 01. October 2012

Trending among others

---

---

---