Pervasively Secure
Infrastructures (PSI):
Integrating Smart Sensing, Data Mining, Pervasive Networking and
Community Computing
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Dr.
Ishfaq Ahmad, co-PI
Multimedia Lab
Dept. of Computer Science & Engg.
UTA
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Dr.
Diane J. Cook, co-PI
A.I. Lab
Dept. of Computer Science & Engg.
UTA
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Dr.
Lawrence B. Holder, co-PI
A.I. Lab
Dept. of Computer Science & Engg.
UTA
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Kalyan
Basu
, Senior Personnel
CReWMaN Lab
Dept. of Computer Science & Engg.
UTA
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Dr. Ali R. Hurson, Collaborator
Global
Information Systems Research Group (GIS)
Dept. of Computer Science & Engg.
Pennsylvania State University
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Contact Information
Dr. Sajal K. Das
Department of Computer Science and Engineering
The University of Texas at Arlington
Room 300, Nedderman Hall
Arlington, TX 76019-0015
Phone: (817) 272-7405
Fax: (817) 272-3784
Email: das@cse.uta.edu
URL: http://ranger.uta.edu/~das
Project Award Information
- Award Number: IIS-0326505
- Duration: September 2003 -
August
2008
- Title: Pervasively Secure Infrastructures (PSI): Integrating
Smart Sensing, Data Mining,
Pervasive Networking and Community Computing
- Keywords: Wireless Sensor Networks, Security, Agents, Databases
and Data
Mining, Machine Learning, Pervasive Computing
Project Summary
This project addresses
homeland security, an issue of highest national priority, with a goal of
monitoring, preventing, and recovering from natural and inflicted
disasters. In particular, we propose to create a novel
technology-enabled security
framework, called Pervasively Secure
Infrastructures (PSI), that
will make use of such advanced technologies as smart sensors, wireless
networks, pervasive computing, mobile agents,
data mining, and profile-based learning in an integrated, collaborative
and distributed manner.
The uniqueness of this multi-disciplinary, multi-university proposal
lies in the synergistic combination of the proposed research in
- efficient data collection and aggregation from heterogeneous
sensors and monitors;
- novel techniques for real-time, secured, authenticated
information transmission and sharing, and
- intelligent situation awareness (e.g., threat detection and
security services) through new learning, data mining, and knowledge
discovery techniques.
The project aims at integrating these research efforts with the help of
our novel
paradigm of pervasive community computing that can efficiently handle
dynamically changing information, adapt to changing situations, and
provide scalability in terms of the number of users, devices, and data
sizes.
The PSI framework has the potential
for deployment in a variety of
safety, security, and surveillance instances, including
transportation
(e.g., air, rail, highway), public utilities (e.g., water, gas,
electricity, nuclear power station, and Internet), and public or
private buildings and gathering places (e.g., airports, train stations,
commercial buildings, shopping malls, and amusement parks).
The project is a multi-disciplinary collaborative research effort,
involving
researchers from the University
of Texas at Arlington (UTA), University
of
Kentucky (UKY) and Pennsylvania
State University (PSU).
Selected
Publications
(Year1: September 2003 - August 2004)
Complete list of
publications accessible at: http://crewman.uta.edu/psi/publications.html
A. Wireless Sensor Networks
Faculty Members - Sajal Das, Frank Lewis,
Kalyan Basu
Student Members - Jayanta Hajra, Wook Choi, Ankit Tiwari
[1] F.L. Lewis, "Wireless
Sensor Networks", in Smart Environments:
Technologies, Protocols, Applications, ed. D.J. Cook and S.K. Das,
Wiley, New York, 2004.
[2] W. Choi and P. Shah and S. K. Das, "A Framework for Energy-Saving Data
Gathering Using Two-Phase Clustering in Wireless Sensor Networks",
In Proc. of Int'l Conference on Mobile and Ubiquitous Systems:
Networking and Services (MobiQuitous), pp. 203-212, August 2004.
[3] W. Choi and S. K. Das, "Trade-off
Between Coverage and Data Reporting Latency for Energy-Conserving Data
Gathering in Wireless Sensor Networks", Proc. of Int'l
Conference on Mobile AdHoc and Sensor Systems (MASS), Oct. 2004.
[4] A. Tiwari, "Design
and Implementation of Wireless Sensor Networks
for Condition Based Maintenance", M.S. Thesis, EE Dept., UTA,
May
2004.
[5] A. Tiwari, F.L. Lewis, and S.S. Ge, "Wireless Sensor
Networks
for Machine Condition Based Monitoring", Proc. of Int'l Conf.
on Control,
Automation, Robotics, and Vision, invited paper, Kunming, China, Dec
2004.
[6] W. Choi, S. K. Das, and K. Basu, "Angle-based
Dynamic Path
Construction for Route Load Balancing in Wireless Sensor Networks",
Proc. of IEEE Wireless Communications and Networking Conference
(WCNC), May 2004.
[7] W. Choi and S. K. Das, "An
Energy-Conserving Data Gathering Strategy Based on Trade-off Between
Coverage and Data Reporting Latency in Wireless Sensor Networks",
IEEE Monograph on Sensor Network Operations, Oct. 2004.
B. Multi and Stream Databases
Faculty Members - Sharma Chakravarthy, Ali Hurson
Student Members - Satyajeet Sonune, Altaf Gilani, Laali Elkalifa
[8] L. Elkalifa, "InfoFilter:
Complex Pattern Specification and
Detection Over Text Streams", MS Thesis, Spring 2004.
[9] Y. Jiao and A.R. Hurson, "Application
of Mobile Agents in Mobile Data Access Systems" - A prototype”,
Journal of Database Management, 2004.
[10] A. Srinivasan and Sharma Chakravarthy, "Discovery of Interesting Episodes in
Sequence Data", PAKDD Workshops, May 2004
[11] A.R. Hurson,
J. Ploskonka, Y. Jiao, and H. Haridas, "Security issues and
Solutions in Distributed heterogeneous Mobile Database Systems",Vol.
61, Advances in Computer, pp. 107-198, 2004.
[12] Y. Jiao, and A.R. Hurson, "Mobile
Agents in Mobile Heterogeneous Database Environment – Performance and
Power Consumption", Analysis, Design, Analysis, and Simulation
of
Distributed Systems, pp. 185-190, 2004.
[13] N. Orchowski, and A.R. Hurson, "Energy-Aware Object Retrieval from
Parallel Broadcast Channels", Proc. of the Int'l
Database Engineering and Applications Symposium, IDEAS, July 2004.
[14] B. Sun , A.R. Hurson and J. Hannan, "Energy-Efficient Scheduling Algorithms
of Object Retrieval on Indexed Parallel Broadcast Channels",
Int'l Conf. on Parallel Processing, ICPP, August 2004.
[15] R. Adaikkalavan, Sharma Chakravarthy, R. Liuzzi, and L.Wong: "Information Security: Using a Novel
Event-Based Approach", (accepted for publication) Int'l
Conf. on Information and Knowledge Engineering (IKE'04), June
2004.
[16] Sharma Chakravarthy, A. Sanka, J. Jacob, N. Pandrangi, "A Learning-Based Approach for Fetching
Pages in WebVigiL", Proc. of the 19th ACM Symposium on
Applied Computing (SAC), March 2004.
C. Machine Learning and Data
Mining
Faculty Members - Diane Cook, Lawrence Holder
Student Members - Jeff Coble, Miatrayee Mukherjee, Caleb Noble
[17] L. Holder, D. Cook, J. Coble and M. Mukherjee, "Graph-based
Relational Learning with Application to Security", To appear in
the
Fundamenta Informaticae Journal Special Issue on Mining Graphs, Trees
and Sequences, 2004.
[18] L. Holder, "Connecting
the
Dots: Graph-based Discovery
Informatics for Learning Patterns of Asymmetric Threats",
Visionary
Lecture Series in Discovery Informatics, Johns Hopkins University
School of Professional Studies in Business and Education,
March
2004.
[19] C. Noble and D. Cook, "Graph-based
Anomaly Detection", Proc. of the ACM Conference on Knowledge
Discovery and Data Mining, 2003.
[20] D. J. Cook and M. Youngblood, "Smart
Homes", Encyclopedia of Human-Computer Interaction, 2004.
[21] A. Rakhshan, L. B. Holder and D. J. Cook, "Structural Web Search Engine",
Int'l Journal of Artificial Intelligence Tools, 13(1), pages 27-33,
2004.
[22] L. B. Holder and D. J. Cook, "Graph-based
Data Mining", Encyclopedia of Data Warehousing and Mining, 2004.
[23] D. J. Cook and S. K. Das, Smart
Environments: Technology, Protocols and Applications, John
Wiley, 2004.
D. Pervasive Computing and
Communication
Faculty Members - Mohan Kumar, Behrooz Shirazi, Sajal Das
Student Members - Hitha Alex, Pradip De
[24] P. De, K. Basu and S. K. Das, "An
Ubiquitous
Architectural
Framework and Protocol for Object Tracking using RFID Tags,"
Proc. of Mobile and Ubiquitous Systems (MobiQuitous), pp 174-12,
Boston, Aug. 2004.
[25] P. De, K. Basu and S. K. Das, "An
RFID Based Technique for Handling Object Distribution and
Recalls in Pervasive Transaction Environments". To appear in the
International Conference on Mobile Ad-hoc and Sensor Systems (MASS),
Oct. 2004.
[26] H. Alex, M. Kumar and B. A. Shirazi, "Service Discovery
in Wireless
and Mobile Networks", Wireless Information Highways, Idea Group
Publication (in press).
[27] M. Kumar, B.A. Shirazi and S. K. Das, "Pervasively Secure
Infrastructures (PSI) through Community Computing", Proc. of the
Texas
Workshop on Security of Information Systems, College
Station, USA, pp. 5-10, April 2003.
[28]M. Kumar, B Shirazi, S K Das, M Singhal, B Sung, and D Levine, "Pervasive Information Communities
Organization PICO: A Middleware Framework for Pervasive Computing",
IEEE Pervasive Computing, pp. 72-79, July-September 2003.
[29]B. A. Shirazi, M. Kumar, and B Sung, "QoS Middleware Support for Pervasive
Computing Applications", Minitrack on Quality of Service in
Mobile and Wireless Networks, Proc. of the Thirty-Seventh Annual Hawaii
International Conference on Systems Sciences (HICSS), pg.
294 (Full paper on CD), January 2004.
[30] M. Kumar, J Priest, B A Shirazi, B Huff, and M Johnson, "Revolutionizing Manufacturing Systems
with Pervasive Computing: P-RoMS",
International Workshop on Ambient Intelligence Computing, Santorini,
Greece, pp. 33-48, Jun. 2003.
E. Computer and Network Security
Faculty Members - Sajal Das, Raphael Finkel, Mukesh Singhal,
Kalyan Basu
Student Members - Afrand Agah, Wei Zhang, Sumantra Kundu
[31] A.Agah, S.K.Das and K.Basu, "Security
in Wireless Sensor Networks:The Game Theory Approach", poster
presentation at WiSe'04 in conjunction with MobiCom, September 2004.
[32] Y. Wang, Venkata Giruka, and M. Singhal, "A Fair Distributed Solution for Selfish
Nodes Problem in Wireless Ad-Hoc Networks", 3rd Int'l Conf. on
AD-HOC Networks and
Wireless Networks, Vancouver, British Columbia, July 22-24, 2004.
[33] A.Agah, S.K.Das and K.Basu, "A
game theory based approach for security in sensor networks",
Int'l Performance Computing and Communications Conference
(IPCCC), April 2004.
[34] C. Giruka and Singhal, "Authenticated
Group Key
Agreement in Wireless Ad-hoc Networks", submitted to 1st
European
Workshop in Ad-Hoc and Sensor Networks, 2004.
[35] A.Agah, S.K.Das and K.Basu, "A
Non-cooperative Game Approach for Intrusion Detection in Sensor Networks",
IEEE Vehicular Technology Conference (VTC), Fall 2004.
[36] S. Gupte and M. Singhal, "Secure
Routing in
Mobile Wireless Ad-hoc
Networks", Ad Hoc Networks, No 1, pp 151-174, August 2003.
[37] S.K. Das, A.Agah and K.Basu, "Security
in Wireless Mobile and Sensor Networks", book chapter, editor
M.Guizani, Kluwer Academic Publisher, 2003.
[38] A. Agah, S. K. Das and M. Kumar, "Security
Issues in
Pervasive
Computing", Wireless Information Highways, Idea Group
Publication (in press).
Project Impact
- The PSI framework can potentially be deployed in a variety of
safety, security and surveillance instances, including transportation
(e.g., air, rail, highway), public utilities (e.g., water, gas,
electricity, nuclear power station, Internet), public or private
buildings and gathering places (e.g., airports, train stations,
commercial buildings, shopping malls, and amusement parks).
- The project will involve new research initiatives in sensor
networks,
data fusion and mining, profile-based learning and prediction, network
security, pervasive computing, dynamic creation of software agent
communities, location and context-aware computing, and real-time
communication and computation.
- This project will train PhD, MS, and BS students at all three
universities in these critical areas of national interest, leading to
excellent theses and high quality journal and conference publications.
This project will further strengthen the already existing collaboration
among various PIs at the three universities.
- Research findings from this project will be integrated into
existing courses (e.g.,
networking) or newly proposed ones like sensor networks, pervasive
computing and
security. This effort will be coordinated and shared by the
collaborating universities through Web based distance learning courses
that will also be used for wide dissemination of research and
prototyping results.
Goals, Objectives, and Targeted
Activities
Our goal is to provide an unified framework for
identification,
prevention and recovery from natural and artificial inflicted
distasters. Through an existing NSF
supported project, called PICO (Pervasive Information Community
Organization), several of the PIs are developing middleware services
for pervasive computing applications. A PICO application consists
of a set of embedded hardware devices and sensors, called camileuns (context-aware, mobile, intelligent, learned, ubiquitous nodes), and their associated
software agents, called delegents
(intelligent delegates). Delegents perform goal-oriented tasks on
behalf of their associated camileuns; e.g., a delegent associated with
a surveillance camera will continuously analyze, record, and transmit
captured images.
The major contribution
of the PICO project is the introduction of a novel concept, called community computing,
and using it as a framework for collaboration among delegents. In
community computing, delegents working on behalf of camileuns,
collaborate with each other to carry out application-specific services.
For example, a delegent capturing the image of a suspected terrorist
may form a community with delegents associated with FBI and INS
databases to exchange information and determine the next course of
actions.
In the PSI project, our objectivel is to
provide pervasively secure infrastructures by exploiting PICO's
community computing concept. In doing so, many significant and
challenging problems lay ahead, including:
(i) efficient data
collection and aggregation from heterogeneous, seemingly unrelated
sensors;
(ii) real-time, secured, authenticated information
processing
and routing; and
(iii) discovery of security threats using data
mining, learning and intelligent decision making techniques.
To achieve our goal, we
are effectively using
a network of physical
devices, software agents, and personnel in dynamic, heterogeneous
autonomous environments for disaster prevention, discovery and
management.
Considering the elaborate and motley dimension of the project,
assimilating information from such disparate sources is an extremely
challenging
task. Our objective is to process the information collected from
sensory devices,
interpret them meaningfully in the context of ongoing events, and
accordingly carry out automated security services.
In the light of the above, we target the following activites:
- Develop a test bed at CReWMaN lab for synthetic
data generation and proof-of-concept
validation of our
various algorithms and approaches.
- Develop algorithms for
- efficient data collection and aggregation from heterogeneous,
seemingly unrelated sensors.
- real time, secured, authenticated information processing and
routing.
- discovery of security threats using data mining, learning and
intelligent decision making techniques.
- Demonstrate the effectiveness of our approach by prototyping.
Current and Future Activities
The following are the principal areas of our ongoing work, with
references to the list of publications section above:
- Pervasive Computing and Communication
- Using RFID for creating an ubiquitous framework [24][25]
- Pervasive and community computing
[26]-[30]
- Computer and Network Security
- Methodologies for Fast Intrusion Detection in wireless networks
[31][33] [35][37][38]
- Establishing trust in mobile ad hoc networks [32][34][36]
Area Background
Pervasive Computing is
the seamless integration of information and computing technology.
Recently, this world of ubiquitous computing has attracted a lot
of research since this technology, among other things, has the
potential to address the problem of
homeland security. Today, advances in technology provide isolated means for detecting and
perhaps preventing security violations reactively. However, there is a
need to glue these disparate technologies (hardware or software)
together so as to provide proactive infrastructure support and services
for managing security related issues. However, it is an extremely
challenging
task to process the information collected from sensory devices,
interpret them meaningfully in the context of ongoing events, and
accordingly carry out automated security services. This requires
continual real time collaboration among physical
devices, software agents, and personnel in dynamic, heterogeneous
autonomous environments.
Recognizing the
importance of such a pervasive approach has motivated us to explore the
potential to create Pervasively Secure Infrastructures (PSI). It is a
framework of sensor networks, sophisticated portable devices,
middleware and agent-based software modules, working in close
collusion with the aim of creating an unified infrastructure that
will empower us to monitor, prevent, and recover from natural,
unexpected, and inflicted disasters.
Area References
- IEEE International Conference on Pervasive Computing and
Communications (PerCom), http://www.percom.org
- D. J. Cook and S. K. Das, Smart Environments:
Technology,
Protocols and Applications, John Wiley, 2004.
- M. Kumar, B.A. Shirazi and S. K. Das, "Pervasively Secure
Infrastructures (PSI) through Community Computing", Proc of the Texas
Workshop on Security of Information Systems, College
Station, USA, pp. 5-10,April 2003.
- A. Agah, S. K. Das and M. Kumar, "Security Issues in Pervasive
Computing", Wireless Information Highways, Idea Group Publication.
- "MAVHome: Managiong an Adaptive Versatile Home", http://mavhome.uta.edu/
- L. Holder, "Connecting the Dots: Graph-based Discovery
Informatics for Learning Patterns of Asymmetric Threats", Visionary
Lecture Series in Discovery Informatics, Johns Hopkins University
School of Professional Studies in Business and Education, March 2004.
- F.L. Lewis, "Wireless Sensor Networks in Smart Environments:
Technologies, Protocols, Applications", ed. D.J. Cook and S.K. Das,
Wiley, New York, 2004.
- S.K.Das, "Pervasive
Community Computing with Applications to Health and Security", keynote talk at
Int'l Conf., ICUC (Seoul, Korea, Oct. 2003), WOCN
(Oman, June 2004), ICOST (Singapore, Sept. 2004), EUC (Japan, Aug.
2004).
Potential Related Projects
1. Acquisition of Instrumentation for Engineering Research in
Advanced Security Detection Systems.
NSF MRI funded project, 09/01/04 -
08/31/07
2. Federal Earmark Grant
on Pervasive Security Research,
Department of Justice, 09/01/04 -
08/31/06
3. MAVHome: Managiong an Adaptive Versatile Home", http://mavhome.uta.edu/
NSF grant ITR 0121297, 09/01/01 - 05/31/05
4. Pervasive Information Community Organization (PICO)
NSF grant 0129682I,
06/01/02 - 05/31/05
Project Websites
Ongoing research work (in alphabetical order) is spread across :
- Artificial Intelligence Lab (A.I.
Lab)
- Automation and Robotics Research Institute (ARRI)
- Center for Research in Wireless Mobility and Networking (CReWMaN)
- Global Information System Research Group (GIS)
- Information Technology Laboratory (ITLAB)
- Institute for Research in Security (IRIS)
- Pervasive Information Community Organization (PICO)
Online Illustrations
- PSI Scenario:
Lower tier (front-end): consists of a
pervasive network of smart sensors and devices monitor security
missions all the time .Higher tier (back-end): mines and processes
collected data and makes intelligent decisions to provide security
services.
- Abstract
Security Framework: Synergistic merging of wired and
wireless
networks. Wired domain forms the data and communication backbone of
wireless networks.
- Mobile
Object
Tracking using RFID : An architecture for object
tracking in a high security-critical environment
- Proposed CReWMaN Lab
Architecture for Research in Security in
Core and Wireless Networks - Development in process.