Model-Based Detection of Attacks for Process Control Systems
Zong-Syun Lin, Alvaro Cardenas, Saurabh Amin, Yu-Lun Huang, Chi-Yen Huang, Shankar Sastry

Citation
Zong-Syun Lin, Alvaro Cardenas, Saurabh Amin, Yu-Lun Huang, Chi-Yen Huang, Shankar Sastry. "Model-Based Detection of Attacks for Process Control Systems". 16th ACM Computer and Communications Security Conference, ACM, submitted, 2009.

Abstract
We present security analysis of process control systems (PCS) when an attacker can compromise sensor measurements that are critical for maintaining the operational goals. We present the general sensor attack model that can represent a wide variety of DoS and deception attacks. By taking example of a well studied process control system, we discuss the consequences of sensor attacks on the performance of the system and important implications for designing defense actions. We develop model-based detection methods that can be tuned to limit the false-alarm rates while detecting a large class of sensor attacks. From the attacker's viewpoint, we show that when the detection mechanisms and control system operations are understood by the attacker, it can carry stealth attacks that maximize the chance of missed detection. From the defender's viewpoint, we show that when an attack is detected, the use of model-based outputs maintains safety under compromised sensor measurements.

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• HTML

  Zong-Syun Lin, Alvaro Cardenas, Saurabh Amin, Yu-Lun Huang,
  Chi-Yen Huang, Shankar Sastry. <a
  href="http://chess.eecs.berkeley.edu/pubs/600.html"
  >Model-Based Detection of Attacks for Process Control
  Systems</a>, 16th ACM Computer and Communications
  Security Conference, ACM, submitted, 2009.

• Plain text

  Zong-Syun Lin, Alvaro Cardenas, Saurabh Amin, Yu-Lun Huang,
  Chi-Yen Huang, Shankar Sastry. "Model-Based Detection
  of Attacks for Process Control Systems". 16th ACM
  Computer and Communications Security Conference, ACM,
  submitted, 2009.

• BibTeX

  @inproceedings{LinCardenasAminHuangHuangSastry09_ModelBasedDetectionOfAttacksForProcessControlSystems,
      author = {Zong-Syun Lin and Alvaro Cardenas and Saurabh Amin
                and Yu-Lun Huang and Chi-Yen Huang and Shankar
                Sastry},
      title = {Model-Based Detection of Attacks for Process
                Control Systems},
      booktitle = {16th ACM Computer and Communications Security
                Conference},
      organization = {ACM},
      pages = {submitted},
      year = {2009},
      abstract = {We present security analysis of process control
                systems (PCS) when an attacker can compromise
                sensor measurements that are critical for
                maintaining the operational goals. We present the
                general sensor attack model that can represent a
                wide variety of DoS and deception attacks. By
                taking example of a well studied process control
                system, we discuss the consequences of sensor
                attacks on the performance of the system and
                important implications for designing defense
                actions. We develop model-based detection methods
                that can be tuned to limit the false-alarm rates
                while detecting a large class of sensor attacks.
                From the attacker's viewpoint, we show that when
                the detection mechanisms and control system
                operations are understood by the attacker, it can
                carry stealth attacks that maximize the chance of
                missed detection. From the defender's viewpoint,
                we show that when an attack is detected, the use
                of model-based outputs maintains safety under
                compromised sensor measurements.},
      URL = {http://chess.eecs.berkeley.edu/pubs/600.html}
  }
  

Posted by Alvaro Cardenas on 16 Jun 2009.
Groups: chess
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