260 entries « ‹ 3 of 6 › »

2014

D. Lee; D. Kundur

Cyber Attack Detection in PMU Measurements via the Expectation-Maximization Algorithm (Inproceedings)

Proc. IEEE GlobalSIP Symposium on Energy Exchange and Intelligent Trading, Atlanta, GA, 2014.

(BibTeX | Links: )

A.K. Farraj; E.M. Hammad; J. Wei; D. Kundur; K.L. Butler-Purry

Performance of Flocking-Based Control Schemes in Smart Grid Applications (Inproceedings)

Proc. IEEE GlobalSIP Symposium on Energy Exchange and Intelligent Trading, Atlanta, GA, 2014.

(BibTeX | Links: )

P. Srikantha; D. Kundur

Distributed Power Dispatch via Bifurcation Control (Inproceedings)

Proc. IEEE GlobalSIP Symposium on Energy Exchange and Intelligent Trading, Atlanta, GA, 2014.

(BibTeX | Links: )

J. Wei; D. Kundur; T. Zourntos; K.L. Butler-Purry

A Flocking-Based Paradigm for Hierarchical Cyber-Physical Smart Grid Modeling and Control (Journal Article)

IEEE Transactions on Smart Grid, 5 (6), pp. 2687-2700, 2014.

(BibTeX | Links: )

A.K. Farraj; E.M. Hammad; A. Al Daoud; D. Kundur

A Game-Theoretic Control Approach to Mitigate Cyber Switching Attacks in Smart Grid Systems (Inproceedings)

Proc. IEEE SmartGridComm, Venice, Italy, 2014.

(BibTeX | Links: )

A.K. Farraj; E.M. Hammad; J. Wei; D. Kundur; K.L. Butler-Purry

Performance Evaulation of Flocking-Based Distributed Cyber-Physical Control for Smart Grid (Inproceedings)

Proc. IEEE SmartGridComm, Venice, Italy, 2014.

(BibTeX | Links: )

B. Chen; K.L. Butler-Purry; A. Goulart; D. Kundur

Implementing a Real-Time Cyber-Physical System Test Bed in RTDS and OPNET (Inproceedings)

Proc. IEEE North American Power Symposium, Pullman, Washington, 2014.

(BibTeX | Links: )

B. Chen; K.L. Butler-Purry; S. Nuthalapati; D. Kundur

Network Delay Caused by Cyber Attacks on SVC and its Impact on Transient Stability of Smart Grids (Inproceedings)

Proc. IEEE Power & Energy Society General Meeting, pp. 1-5, Washington, DC, 2014.

(BibTeX | Links: )

A.K. Farraj; E. Hammad; D. Kundur; K.L. Butler-Purry

Practical Limitations of Sliding-Mode Switching Attacks on Smart Grid Systems (Inproceedings)

Proc. IEEE Power & Energy Society General Meeting, pp. 1-5, Washington, DC, 2014.

(BibTeX | Links: )

Jin (Wei) Kocsis

A Biologically Inspired Hierarchical Cyber-Physical Integrated Security Analysis Framework for Smart Grids (PhD Thesis)

University of Toronto, 2014.

(Abstract | BibTeX)

@phdthesis{WeiPhDThesis14,
title = {A Biologically Inspired Hierarchical Cyber-Physical Integrated Security Analysis Framework for Smart Grids},
author = {Jin (Wei) Kocsis},
year = {2014},
date = {2014-06-18},
address = {Toronto, Ontario},
school = {University of Toronto},
abstract = {The last few years have witnessed the radical transformation in structure and functionality of electrical energy systems. Such systems were traditionally executed in the physical world and are now also cyber-enabled. This cyber-enabled energy system, called smart grid, can be envisioned as the marriage of information technology with the electricity network. While its increased dependence on cyber infrastructure aims to enable greater reliability, efficiency and capacity of power delivery, this reliance also creates a host of unfamiliar vulnerabilities. Due to the highly integrated and connected nature of smart grids, it is important to account for their salient cyber-physical coupling when making critical design decisions and identifying solutions to promote security.

In this dissertation, we present a flocking-theory inspired dynamical systems paradigm to model smart grid cyber-physical interactions related to smart grid stability. Such a biologically-inspired framework enables the convenient description of (discrete) cyber and (analog) physical couplings. Through this paradigm, we demonstrate real-time cyber-physical integrated control and communication strategies using “wisely”-placed phasor measurement units and energy storages to re-stabilize a smart grid system under various forms of cyber and physical attacks. Our research has evolved in three stages. We first propose a multi-agent dynamical systems paradigm to model the cyber-physical interactions related to smart grid stability. In our multi-agent framework each node, representing both electrical and information system components, is modeled as having dynamics that synergistically describe physical and information couplings with neighboring agents. Inspired by the analogy between the flocking behavior in the nature and the stability of the cyber-enabled synchronous generators, We develop a flocking-based scheme to formulate the cyber-physical integrated action for each agent. It is clear from our analysis framework that redundant cyber information acquisition and use increases risks of cyber-attack whereby indiscriminate cyber-dependence and -connectivity increases attack scope and impact. To address this problem, in the second stage, we extend the multi-agent paradigm to a two-tier hierarchical framework by effectively leveraging physical couplings between the agents and identifying the critical ones that increase vulnerability to cyber- or physical- attack. With the developed hierarchical framework, the cyber information redundancy is reduced by only leveraging cyber coupling at critical agents. In the context of the hierarchical framework, we analyze the physical impact of cyber attack. We focus on two major attacks widely effecting the smart grid, attacks on timely data delivery, such as Denial-of-Service (DoS) attacks, and attacks on information accuracy, such as false data injection attacks. The DoS attack can cause communication delay of critical cyber information and result in significant power delivery disruption. To defend against the DoS attacks, we propose an intelligent multicast routing strategy, called Goal-Seeking Obstacle and Collision Evasion (GOALiE), which is appropriate to smart grids and resilient to DoS attacks. We also develop a novel witness-based cyber-physical protocol whereby physical coherence is leveraged to probe and identify the false data injection on Phasor Measurement Unit (PMU) data and estimate the true information values for attack mitigation.

},
keywords = {},
pubstate = {published},
tppubtype = {phdthesis}
}

The last few years have witnessed the radical transformation in structure and functionality of electrical energy systems. Such systems were traditionally executed in the physical world and are now also cyber-enabled. This cyber-enabled energy system, called smart grid, can be envisioned as the marriage of information technology with the electricity network. While its increased dependence on cyber infrastructure aims to enable greater reliability, efficiency and capacity of power delivery, this reliance also creates a host of unfamiliar vulnerabilities. Due to the highly integrated and connected nature of smart grids, it is important to account for their salient cyber-physical coupling when making critical design decisions and identifying solutions to promote security.

In this dissertation, we present a flocking-theory inspired dynamical systems paradigm to model smart grid cyber-physical interactions related to smart grid stability. Such a biologically-inspired framework enables the convenient description of (discrete) cyber and (analog) physical couplings. Through this paradigm, we demonstrate real-time cyber-physical integrated control and communication strategies using “wisely”-placed phasor measurement units and energy storages to re-stabilize a smart grid system under various forms of cyber and physical attacks. Our research has evolved in three stages. We first propose a multi-agent dynamical systems paradigm to model the cyber-physical interactions related to smart grid stability. In our multi-agent framework each node, representing both electrical and information system components, is modeled as having dynamics that synergistically describe physical and information couplings with neighboring agents. Inspired by the analogy between the flocking behavior in the nature and the stability of the cyber-enabled synchronous generators, We develop a flocking-based scheme to formulate the cyber-physical integrated action for each agent. It is clear from our analysis framework that redundant cyber information acquisition and use increases risks of cyber-attack whereby indiscriminate cyber-dependence and -connectivity increases attack scope and impact. To address this problem, in the second stage, we extend the multi-agent paradigm to a two-tier hierarchical framework by effectively leveraging physical couplings between the agents and identifying the critical ones that increase vulnerability to cyber- or physical- attack. With the developed hierarchical framework, the cyber information redundancy is reduced by only leveraging cyber coupling at critical agents. In the context of the hierarchical framework, we analyze the physical impact of cyber attack. We focus on two major attacks widely effecting the smart grid, attacks on timely data delivery, such as Denial-of-Service (DoS) attacks, and attacks on information accuracy, such as false data injection attacks. The DoS attack can cause communication delay of critical cyber information and result in significant power delivery disruption. To defend against the DoS attacks, we propose an intelligent multicast routing strategy, called Goal-Seeking Obstacle and Collision Evasion (GOALiE), which is appropriate to smart grids and resilient to DoS attacks. We also develop a novel witness-based cyber-physical protocol whereby physical coherence is leveraged to probe and identify the false data injection on Phasor Measurement Unit (PMU) data and estimate the true information values for attack mitigation.

S. Liu; B. Chen; T. Zourntos; D. Kundur; K.L. Butler-Purry

A Coordinated Multi-Switch Attack for Cascading Failures in Smart Grid (Journal Article)

IEEE Transactions on Smart Grid, 5 (4), pp. 1183-1195, 2014.

(BibTeX | Links: )

2013

Z. Asad; M.A.R. Chaudhry; D. Kundur

Partition Based Cascaded Generator Scheduling with Constraints for Large Power Networks (Inproceedings)

Proc. IEEE Global Conference on Signal and Information Processing, pp. 539-542, Austin, TX, 2013.

(BibTeX | Links: )

S. Liu; S. Mashayehk; D. Kundur; T. Zourntos; K.L. Butler-Purry

A Framework for Modeling Cyber-Physical Switching Attacks in Smart Grid (Journal Article)

IEEE Transactions on Emerging Topics in Computation Special Issue in Cyber-Physical Systems, 1 (2), pp. 273-285, 2013.

(BibTeX | Links: )

B. Chen; K.L. Butler-Purry; D. Kundur

Impact Analysis of Transient Stability Due to Cyber Attack on FACTS Devices (Inproceedings)

Proc. North American Power Symposium, pp. 1-6, Kansas State University, 2013.

(BibTeX | Links: )

B. Chen; S. Mashayekh; K.L. Butler-Purry; D. Kundur

Impact of Cyber Attacks on Transient Stability of Smart Grids with Voltage Support Devices (Inproceedings)

Proc. IEEE Power & Energy Society General Meeting, pp. 1-5, Vancouver, Canada, 2013.

(BibTeX | Links: )

S. Liu; B. Chen; D. Kundur; T. Zourntos; K.L. Butler-Purry

Progressive Switching Attacks for Instigating Cascading Failures in Smart Grid (Inproceedings)

Proc. IEEE Power & Energy Society General Meeting, pp. 1-5, Vancouver, Canada, 2013.

(BibTeX | Links: )

J. Wei; D. Kundur

A Multi-Flock Approach to Rapid Dynamic Generator Coherency Identification (Inproceedings)

Proc. IEEE Power & Energy Society General Meeting, pp. 1-5, Vancouver, Canada, 2013.

(BibTeX | Links: )

Julien Jainsky; Deepa Kundur

Towards Preventative Steganalysis in Wireless Visual Sensor Networks (Journal Article)

International Journal on Multimedia Technology, 2 (3), pp. 55-61, 2013.

(BibTeX | Links: )

Shan Liu

Coordinated Variable Structure Switching Attacks for Smart Grid (PhD Thesis)

Texas A&M University, 2013.

(Abstract | BibTeX)

@phdthesis{LiuPhDThesis13,
title = {Coordinated Variable Structure Switching Attacks for Smart Grid},
author = {Shan Liu},
year = {2013},
date = {2013-05-01},
address = {College Station, TX},
school = {Texas A&M University},
abstract = {The effective modeling and analysis of large-scale power system disturbances especially those stemming from intentional attack represents an open engineering and research problem. Challenges stem from the need to develop intelligent models of cyber-physical attacks that produce salient disruptions and appropriately describe meaningful cyber-physical interdependencies such that they balance precision, scale and complexity. In our research, we present a foundation for the development of a class of intelligent cyber-physical attacks termed coordinated variable structure switching attacks whereby opponents aim to destabilize the power grid through controlled switching sequence. Such switching is facilitated by cyber attack and corruption of communication channels and control signals of the associated switch(es). We provide methods and theorems to construct such attack models and demonstrate their utility in the simulation of extensive system disturbances.

Our proposed class of cyber-physical switching attacks for smart grid systems has the potential to disrupt large-scale power system operation within a short interval of time. Through successful cyber intrusion, an opponent can remotely apply a state dependent coordinated switching sequence on one or more relays and circuit breakers of a power system to disrupt operation. Existence of this switching vulnerability is dependent on the local structure of the power grid. Variable structure systems theory is employed to eectively model the cyber-physical aspects of a smart grid, determine the existence of the vulnerability and construct the destabilizing switching attack sequence. We illustrate the utility of the attack approach assess its impact on the dierent power system test cases including the single machine innite bus power system model and theWestern Electricity Coordinating Council (WECC) 3-machine, 9-bus system through MATLAB/Simulink and PSCAD simulation environment. The results demonstrate the potential of our approach for practical attack.

Moreover, we build on our work in several ways. First, we extend the research to demonstrate an approach to mitigation within the variable structure system framework. We demonstrate via small signal analysis how through persistent switching a stable sliding mode can be used to disrupt a dynamical system that seems stable. We also design an approach to vulnerability analysis to assess the feasibility of coordinated variable structure switching attacks. Moreover, we study the performance of our attack construction approach when the opponent has imperfect knowledge of the local system dynamics and partial knowledge of the generator state. Based on the system with modeling errors, we study the performance of coordinated variable structure switching attacks in the presence of state estimation. Finally, we illustrate the concepts of attack model within the multiple switching framework, the cascading failure analysis is employed in the New-England 10-machine, 39-bus power system using MATLAB/Simulink and DSATools simulation environment. Our results demonstrate the potential for coordinated variable structure switching attacks to enable large-scale power system disturbances.},
keywords = {},
pubstate = {published},
tppubtype = {phdthesis}
}

The effective modeling and analysis of large-scale power system disturbances especially those stemming from intentional attack represents an open engineering and research problem. Challenges stem from the need to develop intelligent models of cyber-physical attacks that produce salient disruptions and appropriately describe meaningful cyber-physical interdependencies such that they balance precision, scale and complexity. In our research, we present a foundation for the development of a class of intelligent cyber-physical attacks termed coordinated variable structure switching attacks whereby opponents aim to destabilize the power grid through controlled switching sequence. Such switching is facilitated by cyber attack and corruption of communication channels and control signals of the associated switch(es). We provide methods and theorems to construct such attack models and demonstrate their utility in the simulation of extensive system disturbances.

Our proposed class of cyber-physical switching attacks for smart grid systems has the potential to disrupt large-scale power system operation within a short interval of time. Through successful cyber intrusion, an opponent can remotely apply a state dependent coordinated switching sequence on one or more relays and circuit breakers of a power system to disrupt operation. Existence of this switching vulnerability is dependent on the local structure of the power grid. Variable structure systems theory is employed to eectively model the cyber-physical aspects of a smart grid, determine the existence of the vulnerability and construct the destabilizing switching attack sequence. We illustrate the utility of the attack approach assess its impact on the dierent power system test cases including the single machine innite bus power system model and theWestern Electricity Coordinating Council (WECC) 3-machine, 9-bus system through MATLAB/Simulink and PSCAD simulation environment. The results demonstrate the potential of our approach for practical attack.

Moreover, we build on our work in several ways. First, we extend the research to demonstrate an approach to mitigation within the variable structure system framework. We demonstrate via small signal analysis how through persistent switching a stable sliding mode can be used to disrupt a dynamical system that seems stable. We also design an approach to vulnerability analysis to assess the feasibility of coordinated variable structure switching attacks. Moreover, we study the performance of our attack construction approach when the opponent has imperfect knowledge of the local system dynamics and partial knowledge of the generator state. Based on the system with modeling errors, we study the performance of coordinated variable structure switching attacks in the presence of state estimation. Finally, we illustrate the concepts of attack model within the multiple switching framework, the cascading failure analysis is employed in the New-England 10-machine, 39-bus power system using MATLAB/Simulink and DSATools simulation environment. Our results demonstrate the potential for coordinated variable structure switching attacks to enable large-scale power system disturbances.

2012

J. Wei; D. Kundur

A Flocking-Based Model for DoS-Resilient Communication Routing in Smart Grid (Inproceedings)

Proc. IEEE Global Communications Conference (GLOBECOM), Anaheim, CA, 2012.

(BibTeX | Links: )

Julien Sebastien Jainsky

Defenses Against Covert-Communications in Multimedia and Sensor Networks (PhD Thesis)

Texas A&M University, 2012.

(Abstract | BibTeX)

@phdthesis{JaiPhDThesis12,
title = {Defenses Against Covert-Communications in Multimedia and Sensor Networks},
author = {Julien Sebastien Jainsky},
year = {2012},
date = {2012-12-01},
address = {College Station, TX},
school = {Texas A&M University},
abstract = {Steganography and covert-communications represent a great and real threat today more than ever due to the evolution of modern communications. This doctoral work proposes defenses against such covert-communication techniques in two threatening but underdeveloped domains. Indeed, this work focuses on the novel problem of visual sensor network steganalysis but also proposes one of the first solutions against video steganography. The first part of the thesis looks at covert-communications in videos. The contribution of this study resides in the combination of image processing using motion vector interpolation and non-traditional detection theory to obtain better results in identifying the presence of embedded messages in videos compared to what existing still-image steganalytic solutions would offer. The proposed algorithm called MoViSteg utilizes the specifics of video, as a whole and not as a series of images, to decide on the occurrence of steganography. Contrary to other solutions, MoViSteg is a video-specific algorithm, and not a repetitive still-image steganalysis, and allows for detection of embedding in partially corrupted sequences.

This thesis also lays the foundation for the novel study of visual sensor network steganalysis. We develop three different steganalytic solutions to the problem of covert communications in visual sensor networks. Because of the inadequacy of the existing steganalytic solutions present in the current research literature, we introduce the novel concept of preventative steganalysis, which aims at discouraging potential steganographic attacks. We propose a set of solutions with active and passive warden scenarii using the material made available by the network. To quantify the efficiency of
the preventative steganalysis, a new measure for evaluating the risk of steganography is proposed: the embedding potential which relies on the uncertainty of the image’s pixel values prone to corruption.},
type = {Ph.D. Thesis},
keywords = {},
pubstate = {published},
tppubtype = {phdthesis}
}

J. Wei; D. Kundur; T. Zourntos; K.L. Butler-Purry

Probing the Telltale Physics: Towards a Cyber-Physical Protocol to Mitigate Information Corruption in Smart Grid Systems (Inproceedings)

Proc. IEEE International Conferenceon Smart Grid Communications (SmartGridComm), Tainan City, Taiwan, 2012.

(BibTeX | Links: )

S. Liu; D. Kundur; T. Zourntos; K.L. Butler-Purry

Coordinated Variable Structure Switching Attack in the Presence of Model Error and State Estimation (Inproceedings)

Proc. IEEE International Conferenceon Smart Grid Communications (SmartGridComm), Tainan City, Taiwan, 2012.

(BibTeX | Links: )

J. Wei; D. Kundur; T. Zourntos; K.L. Butler-Purry

A Flocking-Based Dynamical Systems Paradigm for Smart Power System Analysis (Inproceedings)

Proc. IEEE Power & Energy Society General Meeting, pp. 1-8, San Diego, California, 2012.

(BibTeX | Links: )

J. Wei; D. Kundur

Two-Tier Hierarchical Cyber-Physical Security Analysis Framework For Smart Grid (Inproceedings)

Proc. IEEE Power & Energy Society General Meeting, pp. 1-5, San Diego, California, 2012.

(BibTeX | Links: )

S. Liu; S. Mashayekh; D. Kundur; T. Zourntos; K.L. Butler-Purry

A Smart Grid Vulnerability Analysis Framework for Coordinated Variable Structure Switching Attacks (Inproceedings)

Proc. IEEE Power & Energy Society General Meeting, San Diego, California, 2012.

(BibTeX | Links: )

D. Kundur; S. Mashayekh; X. Feng; S. Liu; K.L. Butler-Purry; T. Zourntos

"Cyber Attack Impact Analysis for the Smart Grid," in Smart Grid Communications and Networking (Book Chapter)

V. Poor; Z. Han; E. Hossain (Ed.): pp. 353-372, Cambridge University Press, 2012, ISBN: 9781107014138.

(BibTeX | Links: )

Saranya Parthasarathy

Bloom Filter Based Intrusion Detection for Smart Grid ()

2012.

(Abstract | BibTeX)

Revathi S. Kollegala

The Robust Classification of Hyperspectral Images Using Adaptive Wavelet Kernel Support Vector Data Description (AWK-SVDD) ()

2012.

(Abstract | BibTeX)

@masterthesis{KolMSThesis12,
title = {The Robust Classification of Hyperspectral Images Using Adaptive Wavelet Kernel Support Vector Data Description (AWK-SVDD)},
author = {Revathi S. Kollegala},
year = {2012},
date = {2012-05-01},
address = {College Station, TX},
school = {Texas A&M University},
abstract = {Detection of targets in hyperspectral images is a specific case of one-class classification. It is particularly relevant in the area of remote sensing and has received considerable interest in the past few years. The thesis proposes the use of wavelet functions as kernels with Support Vector Data Description for target detection in hyperspectral images. Specifically, it proposes the Adaptive Wavelet Kernel Support Vector Data Description (AWK-SVDD) that learns the optimal wavelet function to be used given the target signature. The performance and computational requirements of AWK-SVDD is compared with that of existing methods and other wavelet functions. An introduction to target detection and target detection in the context of hyperspectral images is given. This thesis also includes an overview of the thesis and lists the contributions of the thesis. A brief mathematical background into one-class classification in reference to target detection is included. Also described are the existing methods and introduces essential concepts relevant to the proposed approach. The use of wavelet functions as kernels with Support Vector Data Description, the conditions for use of wavelet functions and the use of two functions in order to form the kernel are checked and analyzed. The proposed approach, AWKSVDD, is mathematically described. The details of the implementation and the results when applied to the Urban dataset of hyperspectral images with a random target signature are given. The results confirm the better performance of AWK-SVDD compared to conventional kernels, wavelet kernels and the two-function Morlet-Radial Basis Function kernel. The problems faced with convergence during the Support Vector Data Description optimization are discussed. The thesis concludes with the suggestions for future work.},
type = {M.S. Thesis},
keywords = {},
pubstate = {published},
tppubtype = {masterthesis}
}

M. El-Halabi; A. Farraj; H.D. Ly; D. Kundur

A Distortion-Theoretic Perspective for Redundant Metering Security in a Smart Grid (Inproceedings)

Proc. IEEE Canadian Conference on Electrical and Computer Engineering (CCECE), pp. 1-5, Montreal, Canada, 2012.

(BibTeX | Links: )

S. Parthasarathy; D. Kundur

Bloom Filter Based Intrusion Detection for Smart Grid SCADA (Inproceedings)

Proc. IEEE Canadian Conference on Electrical and Computer Engineering (CCECE), pp. 1-6, Montreal, Canada, 2012.

(BibTeX | Links: )

J. Wei; D. Kundur; T. Zourntos

On the Use of Cyber-Physical Hierarchy for Smart Grid Security and Efficient Control (Inproceedings)

Proc. IEEE Canadian Conference on Electrical and Computer Engineering (CCECE), pp. 1-6, Montreal, Canada, 2012.

(BibTeX | Links: )

S. Liu; D. Kundur; T. Zourntos; K.L. Butler-Purry

Coordinated Variable Structure Switching in Smart Power Systems: Attacks and Mitigation (Inproceedings)

Proc. First International Conference on High Confidence Network Systems (HiCoNS) at Cyber Physical Systems Week (CPSWeek) 2012, pp. 21-30, Beijing, China, 2012.

(BibTeX | Links: )

2011

S. Liu; X. Feng; D. Kundur; T. Zourntos; K. L. Butler-Purry

Switched System Models for Coordinated Cyber-Physical Attack Construction and Simulation (Inproceedings)

Proc. Second IEEE International Conference on Smart Grid Communications (SmartGridComm), pp. 49-54, Brussels, Belgium, 2011.

(BibTeX | Links: )

S. Liu; X. Feng; D. Kundur; T. Zourntos; K.L. Butler-Purry

A Class of Cyber-Physical Switching Attacks for Power System Disruption (Inproceedings)

Proc. 7th Cyber Security and Information Intelligence Research Workshop (CSIIRW), Oak Ridge National Laboratory, Tennessee, 2011.

(BibTeX | Links: )

D. Kundur; X. Feng; S. Mashayekh; S. Liu; T. Zourntos; K.L. Butler-Purry

Towards Modeling the Impact of Cyber Attacks on a Smart Grid (Journal Article)

International Journal of Security and Networks, 6 (1), pp. 2-13, 2011.

(BibTeX | Links: )

J.S. Jainsky; D. Kundur

“Visual Sensor Network Processing and Preventative Steganalysis," in Visual Information Processing in Wireless Sensor Networks (Book Chapter)

L.-M. Ang; K.P. Seng (Ed.): pp. 340-357, IGI Global, 2011, ISBN: 9781613501535.

(BibTeX | Links: )

J. S. Jainsky; D. Kundur

Preventative Steganalysis in Wireless Visual Sensor Networks: Challenges and Solutions (Inproceedings)

Proc. IEEE International Conference on Multimedia and Expo (ICME), pp. 1692-1695, Barcelona, Spain, 2011.

(BibTeX | Links: )

G. Dominguez-Conde; D. Kundur

Improving the Visual Performance of S/DISCUS (Inproceedings)

Proc. IEEE International Conference on Multimedia and Expo (ICME), pp. 1-6, Barcelona, Spain, 2011.

(BibTeX | Links: )

2010

D. Kundur; X. Feng; S. Liu; T. Zourntos; K.L. Butler-Purry

Towards a Framework for Cyber Attack Impact Analysis of the Electric Smart Grid (Inproceedings)

Proc. IEEE International Conference on Smart Grid Communications (SmartGridComm), pp. 244-249, Gaithersburg, Maryland, 2010.

(BibTeX | Links: )

U. N. Okorafor; D. Kundur

Security-Aware Routing and Localization for a Directional Mission Critical Network (Journal Article)

IEEE Journal on Selected Areas in Communications, 28 (5), pp. 664-676, 2010.

(BibTeX | Links: )

W. Luh; D. Kundur

"Distributed Secret Sharing over the Gaussian Interference Wiretap Channel,” in Securing Wireless Communications at the Physical Layer (Book Chapter)

R. Liu; W. Trappe (Ed.): pp. 39-64, Springer, 2010, ISBN: 978-1-4419-1384-5.

(BibTeX | Links: )

2009

C. Fei; R. Kwong; D. Kundur

Secure Semi-Fragile Watermarking for Image Authentication (Inproceedings)

Proc. First IEEE International Workshop on Information Forensics and Security (WIFS), pp. 141-145, London, UK, 2009.

(BibTeX | Links: )

U. N. Okorafor; D. Kundur

On the Relevance of Node Isolation to the K-Connectivity of Wireless Optical Sensor Networks (Journal Article)

IEEE Transactions on Mobile Computing, 8 (10), pp. 1427-1440, 2009.

(BibTeX | Links: )

D. Kundur

Directional Link Networks: Enabling Technologies for Multimedia Sensor Networks (Journal Article)

COMSOC MMTC E-Letter, 4 (5), 2009.

(BibTeX | Links: )

C. Fei; R. Kwong; D. Kundur

A Hypothesis Testing Approach to Semifragile Watermark-Based Authentication (Journal Article)

IEEE Transactions on Information Forensics and Security, 4 (2), pp. 179-192, 2009.

(BibTeX | Links: )

A. Czarlinska; D. Kundur

Wireless Image Sensor Networks: Event Acquisition in Attack-Prone and Uncertain Environments (Journal Article)

Multidimensional Systems and Signal Processing, 20 (2), pp. 135-164, 2009.

(BibTeX | Links: )

U. N. Okorafor; D. Kundur

"Security Aware Routing in Hierarchical Optical Sensor Networks" in From Problem to Solution: Wireless Sensor Networks (Book Chapter)

Z. Jiang; Y. Pan (Ed.): Chapter 5, pp. 93-106, Nova Science Publishers, 2009, ISBN: 978-1-60456-457-0.

(BibTeX | Links: )

M. Merabti; Z. Liu; H.H. Yu; D. Kundur

Advances in Peer-to_Peer Content Search (Journal Article)

Journal of Signal Processing Systems, 59 (3), pp. 309-318, 2009.

(BibTeX | Links: )

N. J. Mathai; T. Zourntos; D. Kundur

Vector Field Driven Design for Lightweight Signal Processing and Control Schemes for Autonomous Robotic Navigation (Journal Article)

EURASIP Journal on Advances in Signal Processing Special Issue on Signal Processing Advances in Robots and Autonomy, 2009 (Article ID 984752), pp. 9, 2009.

(BibTeX | Links: )

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