Synchronization properties of cyber behaviors

David C. Twardowski; George V. Cybenko

doi:10.1117/12.850220

28 April 2010 Synchronization properties of cyber behaviors

David C. Twardowski, George V. Cybenko

Proceedings Volume 7709, Cyber Security, Situation Management, and Impact Assessment II; and Visual Analytics for Homeland Defense and Security II; 77090C (2010) https://doi.org/10.1117/12.850220
Event: SPIE Defense, Security, and Sensing, 2010, Orlando, Florida, United States

Abstract

In recent years the internet has facilitated an explosion of growth in social networks, allowing individuals to interact with one another in a variety of different contexts. Interactions between individuals in networks such as twitter and NASDAQ produce events which co-occur in time. If we make the assumption that events in networks are anonymized such that there is no mapping from the event back to the individual who produced it, we are left with a data stream consisting of spatially and temporally interleaved events with no attribution. We model this property of event co-occurrence in order to recreate this mapping by assuming a strong coupling between temporal co-occurrence and spatial variance an arbitrary individual's behavior. We present a few algorithms based on this model, which produce partitions of tracks, where each track is indicative of the behaviors from a single individual in the network. Results using the algorithms indicate that the models are valid showing a high degree of spatio-temporal consistency among behaviors in networks. This suggests the need for further exploration of new behavior models and algorithms centered around this property.

Citation Download Citation

David C. Twardowski and George V. Cybenko "Synchronization properties of cyber behaviors", Proc. SPIE 7709, Cyber Security, Situation Management, and Impact Assessment II; and Visual Analytics for Homeland Defense and Security II, 77090C (28 April 2010); https://doi.org/10.1117/12.850220

ACCESS THE FULL ARTICLE

INSTITUTIONAL
Select your institution to access the SPIE Digital Library.

SELECT YOUR INSTITUTION

PERSONAL
Sign in with your SPIE account to access your personal subscriptions or to use specific features such as save to my library, sign up for alerts, save searches, etc.

PERSONAL SIGN IN

No SPIE Account? Create one

PURCHASE THIS CONTENT

SUBSCRIBE TO DIGITAL LIBRARY

50 downloads per 1-year subscription

Members: $195

Non-members: $335 ADD TO CART

25 downloads per 1 - year subscription

Members: $145

Non-members: $250 ADD TO CART

PURCHASE SINGLE ARTICLE

Includes PDF, HTML & Video, when available