Deutschetelekom Ag

Dudu Mimran

Yuval Elovici

Asaf Shabtai

Shlomi Dolev

Barak Chizi

Bracha Shapira

Lior Rokach

Christoph Peylo

Marina Kopeetsky

Gil Rosen

Alexander Binun

Rahul Swaminathan

Pavel Ackerman

Bark Chizi

Andreas Grothe

Moshe Bixenspaner

Alex Binon

Ariel Bar

Barak Zacharish

Oleg Brodt

Lena Chekina

Tobias Glemser

Moshe Bixenshpaner

Tomer Zrihen

Stefan Zeidler

Moshe Unger

Andreas Rederer

A method for generating synthetic data records which include datasets that capture state-based transitions, according to which a state transition family is randomly selecting, according to the distribution of samples between the different clusters of users and the context variables are randomly sampled according to their distribution within the chosen cluster. The relevant Markov Chains models are selected according to the sampled context and the initial state of the sequence is randomly selected according to the distribution of states. A random walk process is initialized on the graph models and the random walk is performed process on each context separately, assuming context independency. The cause condition of the current transition is sampled for each state transition, based on the distributions on the selected edge.

Synthetic data generation method

The invention is a highly efficient simulator that is not necessarily dependent on the number of participants&#x2014;it can scale out to a mass number of participants and still run on a single very low-end computer. The simulator populates itself with individuals and, in accordance with a model of the system that comprises rules that govern the behavior of the individual participants, generates and records signals related to the activities that each participant carries out in real time to create a simulation of how the actual system performs. The recorded signals are stored in a data base, which can be mined for decision making.

Flexible and scalable simulations of mass participants in real time

System and method for characterizing a geographical location by finding the behavioral patterns of groups of users of mobile devices being in the vicinity of the geographical location. Accordingly, after an examined Point of Interest is determined, signaling data related to the users is aggregated over a limited period of time, from the cellular network they use. The location, including change in the location of the users, is continuously calculated and cross-checked with anonymous multi-sensors with data records from external data sources. Then the mobility patterns of users are derived and the users are classified to groups according to the cross-checking results. Finally, the geographical location is characterized according to the mobility patterns and the classification.

System for characterizing geographical locations based on multi sensors anonymous data sources

A method for automatically establishing multi-participant interactions and/or conference calls between users of mobile devices, according to which an interaction establishing application is installed on the mobile device of each participating user and receives for each user, phone numbers of other users defined as his friends and a list of predetermined triggers as conditions for initiating an interaction between users. The application constantly monitors the location of each user's mobile device and upon detecting that one or more of the triggers are met, the application automatically initiates one or more interactions between users that comply with the triggers that are met.

Method for automatically establishing location-based conference calls

A method for tracking the whereabouts of people, particularly in urban settings, according to which a cell grid is established within a given geographical region and positional data records associated with each of a plurality of mobile devices within the region, are received from a base station. An Estimated Location Indicator (ELI) associated with a data object in each of every cell of the grid traversed by the corresponding user within a given period of time is generated, from the received positional data records and for each corresponding user of the plurality of mobile devices. A shortest predicted path is generated between each of the generated An Estimated Location Indicators.

Method and system for tracking the whereabouts of people in urban settings

The invention is a system for protecting mobile devices in cellular networks from unauthorized harmful applications and for protecting cellular network infrastructure from targeted or benign overloads. The system comprises mobile cellular devices and a cellular network infrastructure. Some of the mobile devices comprise an application manager, which is adapted to manage the aggregation and learning processes, and a detection manager, which is adapted to analyze network behavior and detect deviations. The application manager and the detection manager are adapted to monitor the applications running on a device, learn the patterns of mobile applications network behavior and detect meaningful deviations from the application's observed normal behavior. The cellular network infrastructure comprises a services module, a logic module, and a database access unit adapted for aggregation and analysis of an application's network traffic patterns for numerous users.

System for detection of mobile applications network behavior-netwise

Growing community of inventors

Tel Aviv, Israel

Dudu Mimran