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Sensor Networks
security properties (strong authentication, efficient encryption,
Mandatory Access Control, integrity, non-repudiation and
availability). Nowadays, collaborative organizations use new
technologies such as mobile devices, smartcards, wireless networks,
high performance networks, grid computing, multi-agent systems,
peer-to-peer systems, sensor networks. These environments introduce
new needs, requirements and difficulties related to security. Hence,
collaborative organizations and technologies face several challenges in
the field of security.
This Workshop on Security and Collaboration - to be held as part of the
Structured Networks
- Matt Miller, Cthulhu: A software analysis framework built on Phoenix
- Scott Moulton, Advanced Hacking Flash/Hard Drive Recoveries
- Jerome Athias, Speeding up the exploits' development process
- Richard Johnson, AutoHacking with Phoenix Enabled Data Flow Analysis
- Travis Goodspeed, Exploiting Wireless Sensor Networks over 802.15.4
- Brandon Enright, Exposing Stormworm
- Jason Medeiros, The Last Stand: 100% Automatic 0day, Achieved,
Explained, and Demonstrated.
- Alexander Lash, CDMA Unlocking and Modification
- Kevin Bauer, Damon McCoy, BitBlender: Providing Lightweight
Structured Networks
- Matt Miller, Cthulhu: A software analysis framework built on Phoenix
- Scott Moulton, Advanced Hacking Flash/Hard Drive Recoveries
- Jerome Athias, Speeding up the exploits' development process
- Richard Johnson, AutoHacking with Phoenix Enabled Data Flow Analysis
- Travis Goodspeed, Exploiting Wireless Sensor Networks over 802.15.4
- Brandon Enright, Exposing Stormworm
- Jason Medeiros, The Last Stand: 100% Automatic 0day, Achieved,
Explained, and Demonstrated.
- Alexander Lash, CDMA Unlocking and Modification
- Kevin Bauer, Damon McCoy, BitBlender: Providing Lightweight
* Formal models, analysis, and standards
* Deception systems and honeypots
* Vulnerability analysis, risk assessment, and forensics
* Adversarial machine learning for security
* Visualization techniques
* Special environments, including mobile and sensor networks
* High-performance intrusion detection
* Legal, social, and privacy issues
* Network exfiltration detection
* Botnet analysis, detection, and mitigation
* Formal models, analysis, and standards
* Deception systems and honeypots
* Vulnerability analysis, risk assessment, and forensics
* Adversarial machine learning for security
* Visualization techniques
* Special environments, including mobile and sensor networks
* High-performance intrusion detection
* Legal, social, and privacy issues
* Network exfiltration detection
* Botnet analysis, detection, and mitigation
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