Patent application number | Description | Published |
20110179164 | METHOD AND APPARATUS FOR IDENTIFYING MEMBERS OF A PEER-TO-PEER BOTNET - A peer-to-peer (P2P) bot(s) in a network is identified using an already identified P2P bot. More specifically, such embodiments may facilitate determining a candidate set of computers, which may be potential P2P bots, by identifying computers in a network that have a private mutual contact with a seed bot, which is a computer identified as a P2P bot, and identifying additional computers that have private mutual contacts with the identified computers. Further, a confidence level indicative of a certainty of a membership of each of the candidate computers in the P2P botnet is determined and responsive to a determination that the confidence level of the candidate computer exceeds a determined threshold confidence level, the candidate computer is identified as a P2P bot. | 07-21-2011 |
20120233694 | MOBILE MALICIOUS SOFTWARE MITIGATION - Mitigation of malicious software in wireless networks and/or on mobile devices is provided. A mobile malicious software mitigation component is provided that obtains an internet protocol address that is exhibiting malicious software behavior, a profile of the malicious software behavior, and a time of the malicious software behavior. The malicious software mitigation component can determine an identity of a mobile device that was assigned the internet protocol address during the time it was exhibiting malicious software behavior, and transmit the profile to the mobile device. In addition, the malicious software mitigation component determine if the duration of the assignment of the internet protocol address to the mobile device is sufficient for positive identification. | 09-13-2012 |
20120317641 | PEER-TO-PEER (P2P) BOTNET TRACKING AT BACKBONE LEVEL - A method, computer-readable medium, and system for analyzing backbone traffic to determine compromised hosts from among hosts on a network are provided. The backbone traffic includes data flows. Each of the data flows is analyzed to determine peer-to-peer data flows from among the data flows. Each of the peer-to-peer data flows is one of the data flows having a source address and a destination address that are each unassociated with a domain name. The peer-to-peer data flows are analyzed to determine the compromised hosts from among the hosts. Each of the compromised hosts is interconnected with another of the compromised hosts via at least one of the peer-to-peer data flows. | 12-13-2012 |
20120331545 | METHODS AND APPARATUS TO CONFIGURE VIRTUAL PRIVATE MOBILE NETWORKS FOR SECURITY - Methods and apparatus to configure virtual private mobile networks for security are disclosed. A disclosed example method includes identifying, in a wireless network, a communication from a user equipment that matches a security event profile, transmitting, from the wireless network, an instruction to enable the user equipment to be communicatively coupled to a virtual private mobile network, the virtual private mobile network being provisioned for security within the wireless network, and enabling the user equipment to transmit a second communication through the virtual private mobile network securely isolated from other portions of the wireless network. | 12-27-2012 |
20140006374 | METHOD AND APPARATUS FOR DERIVING AND USING TRUSTFUL APPLICATION METADATA | 01-02-2014 |
20140006375 | METHOD AND APPARATUS FOR ROBUST MOBILE APPLICATION FINGERPRINTING | 01-02-2014 |
20140006418 | METHOD AND APPARATUS FOR RANKING APPS IN THE WIDE-OPEN INTERNET | 01-02-2014 |
20140006440 | METHOD AND APPARATUS FOR SEARCHING FOR SOFTWARE APPLICATIONS | 01-02-2014 |
20140250221 | Methods, Systems, and Computer Program Products for Detecting Communication Anomalies in a Network Based on Overlap Between Sets of Users Communicating with Entities in the Network - Anomalies are detected in a network by detecting communication between a plurality of entities and a set of users in the network, determining an overlap between subsets of the set of users that the entities comprising the plurality of entities communicated with, respectively, and determining whether the communication between the plurality of entities and the set of users is anomalous based on the overlap. | 09-04-2014 |