Classification

MalAlert: Detecting Malware in Large-Scale Network Traffic Using Statistical Features

In recent years, we witness the spreading of a significant variety of malware, which operate and propagate relying on network communications. Due to the staggering growth of traffic in the last years, detecting malicious software has become …

Robust smartphone app identification via encrypted network traffic analysis

The apps installed on a smartphone can revealmuch information about a user, such as their medical conditions,sexual orientation, or religious beliefs. Additionally, the presenceor absence of particular apps on a smartphone can informan adversary who …

Mind the plug! Laptop-user recognition through power consumption

The Internet of Things (IoT) paradigm, in conjunction with the one of smart cities, is pursuing toward the concept of smart buildings, i.e., 'intelligent' buildings able to receive data from a network of sensors and thus to adapt the environment. …

Appscanner: Automatic fingerprinting of smartphone apps from encrypted network traffic

Automatic fingerprinting and identification of smartphone apps is becoming a very attractive data gathering technique for adversaries, network administrators, investigators and marketing agencies. In fact, the list of apps installed on a device can …

Analyzing Android Encrypted Network Traffic to Identify User Actions

Mobile devices can be maliciously exploited to violate the privacy of people. In most attack scenarios, the adversary takes the local or remote control of the mobile device, by leveraging a vulnerability of the system, hence sending back the …

Can't You Hear Me Knocking: Identification of User Actions on Android Apps via Traffic Analysis

While smartphone usage become more and more pervasive,people start also asking to which extent such devices can bemaliciously exploited as “tracking devices”. The concern isnot only related to an adversary taking physical or remotecontrol of the …

Can't You Hear Me Knocking: Identification of User Actions on Android Apps via Traffic Analysis

While smartphone usage become more and more pervasive,people start also asking to which extent such devices can bemaliciously exploited as “tracking devices”. The concern isnot only related to an adversary taking physical or remotecontrol of the …