References of "Becker, Sheila 40000036"
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See detailROS-Defender: SDN-based Security Policy Enforcement for Robotic Applications
Rivera, Sean UL; Lagraa, Sofiane UL; State, Radu UL et al

in IEEE Workshop on the Internet of Safe Things, Co-located with IEEE Security and Privacy 2019 (2019, May)

Abstract—In this paper we propose ROS-Defender, a holistic approach to secure robotics systems, which integrates a Security Event Management System (SIEM), an intrusion prevention system (IPS) and a ... [more ▼]

Abstract—In this paper we propose ROS-Defender, a holistic approach to secure robotics systems, which integrates a Security Event Management System (SIEM), an intrusion prevention system (IPS) and a firewall for a robotic system. ROS-Defender combines anomaly detection systems at application (ROS) level and network level, with dynamic policy enforcement points using software defined networking (SDN) to provide protection against a large class of attacks. Although SIEMs, IPS, and firewall have been previously used to secure computer networks, ROSDefender is applying them for the specific use case of robotic systems, where security is in many cases an afterthought. [less ▲]

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See detailConceptual Approaches for Securing Networks and Systems
Becker, Sheila UL

Doctoral thesis (2012)

Peer-to-peer real-time communication and media streaming applications optimize their performance by using application-level topology estimation services such as virtual coordinate systems. Virtual ... [more ▼]

Peer-to-peer real-time communication and media streaming applications optimize their performance by using application-level topology estimation services such as virtual coordinate systems. Virtual coordinate systems allow nodes in a peer-to-peer network to accurately predict latency between arbitrary nodes without the need of performing extensive measurements. However, systems that leverage virtual coordinates as supporting building blocks, are prone to attacks conducted by compromised nodes that aim at disrupting, eavesdropping, or mangling with the underlying communications. Recent research proposed techniques to mitigate basic attacks (inflation, deflation, oscillation) considering a single attack strategy model where attackers perform only one type of attack. In this work, we define and use a game theory framework in order to identify the best attack and defense strategies assuming that the attacker is aware of the defense mechanisms. Our approach leverages concepts derived from the Nash equilibrium to model more powerful adversaries. We apply the game theory framework to demonstrate the impact and efficiency of these attack and defense strategies using a well-known virtual coordinate system and real-life Internet data sets. Thereafter, we explore supervised machine learning techniques to mitigate more subtle yet highly effective attacks (frog-boiling, network-partition) that are able to bypass existing defenses. We evaluate our techniques on the Vivaldi system against a more complex attack strategy model, where attackers perform sequences of all known attacks against virtual coordinate systems, using both simulations and Internet deployments. [less ▲]

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See detailAn Autonomic Testing Framework for IPv6 Configuration Protocols
Becker, Sheila UL; Abdelnur, Humberto J.; State, Radu UL et al

in Lecture Notes in Computer Science 6155 (2010)

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See detailUsing Game Theory to configure P2P SIP
Becker, Sheila UL; State, Radu UL; Engel, Thomas UL

in Lecture Notes in Computer Science (2009)

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See detailDefensive configuration with game theory
Becker, Sheila UL; State, Radu UL; Engel, Thomas UL

in The 11th IFIP/IEEE International Symposium on Integrated Network Management (2009)

Detailed reference viewed: 49 (0 UL)