Abstract: A network security system detects and prevents network attacks in real-time using machine learning. The network security system trains machine-learned models using past network attack data such that the models are configured to identify portions of data packets that correspond to particular types of attacks, such as spoofed IP attacks. In some embodiments, the machine-learned models are configured to identify malicious signal noise from portions of data packets and to identify a type of unknown attack corresponding to the malicious signal noise. The machine-learned models are applied to real-time data traffic to identify attacks. The network security system performs security operations when attacks are detected, such as using a virtual router interface to identify a source of a spoofed IP attack, thereby mitigating the effects of the attack.

Abstract: A network security system detects and prevents network attacks in real-time using machine learning. The network security system trains machine-learned models using past network attack data such that the models are configured to identify portions of data packets that correspond to particular types of attacks, such as spoofed IP attacks. In some embodiments, the machine-learned models are configured to identify malicious signal noise from portions of data packets and to identify a type of unknown attack corresponding to the malicious signal noise. The machine-learned models are applied to real-time data traffic to identify attacks. The network security system performs security operations when attacks are detected, such as using a virtual router interface to identify a source of a spoofed IP attack, thereby mitigating the effects of the attack.

Abstract: A security level indicator for a mobile communication device is adapted to alert a user of a device when the weighed combination of security-related parameters reaches a predefined level.

Abstract: A security level indicator for a mobile communication device is adapted to alert a user of a device when the weighed combination of security-related parameters reaches a predefined level.

Abstract: A method for enhancing a media file. The method comprises encoding a media file for a real time exchange of communications between a plurality of terminals, embedding a non-media communication of the real time exchange into the media file, and forwarding the embedded media file to at least one of the plurality of terminals.

Abstract: A method for synchronizing at least two nodes on a network including one network node acting as a master node, the master node setting a base time T0,master, and sending elapsed time since T0,master to at least one other node acting as a slave node, and the at least one other node acting as the slave node receiving the elapsed time, and estimating and setting a value of a base time T0,slave based, at least partly, on the received elapsed time. Related apparatus and methods are also described.

Abstract: A method for synchronizing at least two nodes on a network including one network node acting as a master node, the master node setting a base time T0,master, and sending elapsed time since T0.master to at least one other node acting as a slave node, and the at least one other node acting as the slave node receiving the elapsed time, and estimating and setting a value of a base time T0,slave based, at least partly, on the received elapsed time. Related apparatus and methods are also described.

Abstract: A method for enhancing a media file. The method comprises encoding a media file for a real time exchange of communications between a plurality of terminals, embedding a non-media communication of the real time exchange into the media file, and forwarding the embedded media file to at least one of the plurality of terminals.