Identifying click-requests for the network-side through traffic behavior

a framework for identifying and prioritizing factors affecting customers’ online shopping behavior in iran

the purpose of this study is identifying effective factors which make customers shop online in iran and investigating the importance of discovered factors in online customers’ decision. in the identifying phase, to discover the factors affecting online shopping behavior of customers in iran, the derived reference model summarizing antecedents of online shopping proposed by change et al. was us...

Methods for Identifying Unwanted Network Traffic

The amount of unwanted network traffic on the Internet is constantly increasing and it seems that currently there are no methods to identify and filter out such traffic. Before a solution can be proposed, it must be understood why such problem exists. Unwanted network traffic is caused simply because there is profit behind it and currently there is not a real way to catch miscreants who abuse t...

MAGMA network behavior classifier for malware traffic

Malware is a major threat to security and privacy of network users. A large variety of malware is typically spread over the Internet, hiding in benign traffic. New types of malware appear every day, challenging both the research community and security companies to improve malware identification techniques. In this paper we present MAGMA, MultilAyer Graphs for MAlware detection, a novel malware ...

Identifying User Actions from Network Traffic

PHAD: Packet Header Anomaly Detection for Identifying Hostile Network Traffic

We describe an experimental packet header anomaly detector (PHAD) that learns the normal range of values for 33 fields of the Ethernet, IP, TCP, UDP, and ICMP protocols. On the 1999 DARPA off-line intrusion detection evaluation data set (Lippmann et al. 2000), PHAD detects 72 of 201 instances (29 of 59 types) of attacks, including all but 3 types that exploit the protocols examined, at a rate o...