• No results found

Securing wireless sensor networks

N/A
N/A
Protected

Academic year: 2021

Share "Securing wireless sensor networks"

Copied!
21
0
0

Loading.... (view fulltext now)

Full text

(1)

Securing wireless sensor networks

ODU ODU ODU NASA LANGLEY Stephan Olariu Ashraf Wadaa Larry Wilson Kennie Jones ODU Sensor Network Research Group

(2)

Agenda

n  What are wireless sensor networks (WSNs)?

n  Security Goals

n  Toward Security

n  Products

n  Conclusions

n  Future Research and Development

(3)

An generic sensor network

Sink End user Satellite Internet Event

(4)

Sensor networks

n  Wireless sensor network – massive collection of

tiny sensors linked by a wireless medium

n  Main goal: global info from local data

n  Must integrate sensing, data fusion and

low-power communication

n  Must work unattended

n  Amorphous à self-organized

n  Massive fault tolerance

(5)

The virtual infrastructure

§  Dynamic coordinate system

§  Cluster structure

§  Work model

§ Task-based management

(6)

Ubiquitous WSNs/ Temporary Infrastructures

Agile multi-service sensor network system self-organized to serve a rescue

Command Node Command Node Command Node Remote security monitoring station Sensor nodes

(7)

Sensors

n  Each sensor packs:

n  micro-sensor technology

n  low power signal processing

n  low power computation

n  low power networking capabilities

n  Non-renewable energy budget

n  Anonymity: no fabrication-time identity

n  Sleep as much as possible - conserve energy

n  Sense and compute freely – limit

(8)

Security goals addressed

§  Availability: ensure the survivability of network

services despite denial-of-service (DoS) attacks

§  Confidentiality: ensure that information is not

disclosed to unauthorized entities

n  Integrity: guarantee that a message being

transferred is not corrupted

n  Authentication: enable a node to ensure the

identity of the peer node

n  Anonymity: hide the identity of sources,

destinations, and routes

n  Tamper Proofing: Ensure that nodes cannot be

(9)
(10)

NSA—Tamper proofing, authentication

n  After deployment each sensor transmits on a

specified sets of frequencies

n  Each sensor collects an array of signal strengths

from the sensors in its locale

n  NSA – the Neighborhood Signature Array

n  Removal from deployment area àchanges in the

(11)
(12)
(13)
(14)

Security techniques in a nutshell

§  Initialize sensors with secrets and synchronize clocks

§  Deploy sensors over the desired area

§  FH communications only

§  NSA

§  Resynchronize clocks periodically

§  Train the sensors to provide temporary virtual infrastructure

§  Assign tasks to the trained network

§  Randomly vary sources, destinations and communication paths

§  Partition the network into color sets - concurrent tasking

(15)

n  Invited book chapters – 3

n  Journal Articles – 6

n  International Conference Proceedings – 7

n  Presentations - 9

n  NSF Proposals - 4

n  Two PhD dissertations nearing completion

n  Third dissertation in preliminary stages

n  NASA proposals – 3, One funded - 1

n  Collaborations with JMU and VA Tech

(16)

Conclusions

Contributions: Virtual infrastructure leveraged for security

n  Physical level encoding via FH, very light weight and highly

effective – DoS, Confidentiality, Integrity

n  NSA – Authentication, Tamper Proofing Software

n  Random routing - Anonymity

Current Situation:

§  Wireless sensor network research is still in its infancy

(17)

n  Partner with industry to market results.

n  Extend and improve results with an emphasis on

implementation and marketing.

n  Further progress on the open research questions

required by WSNs.

n  Continue collaborations

(18)

Invited Chapters

1.  D. Gracanin, M. Eltoweissy, S. Olariu, and A. Wadaa,

Dependability Support in Wireless Sensor Networks, in H.

Diab and A.Y. Zomaya, Eds, Dependable Systems, John Wiley

and Sons, 2004.

2.  S. Olariu, K. Maly, E.C. Foudriat, S. M. Yamany and T.

Luckenbach, A Dependable Architecture for Telemedicine in Support of Disaster Relief, in H. Diab and A.Y. Zomaya, Eds, Dependable Systems, John Wiley and Sons, 2004.

3.  K. H. Jones, K. N. Lodding, S. Olariu, A. Wadaa, L. Wilson

and M. Eltoweissy, Biomimetic Models for Wireless Sensor

Networks, in S. Olariu and A. Y. Zomaya, Eds, Bio-Inspired

Paradigms in Computer Science, CRC Press, Boca Raton, Florida, August 2004.

(19)

Archival Journals

1.  L. Wang and S. Olariu, A unifying look at clustering in mobile ad-hoc networks, Journal of Wireless Communications and Mobile Computing, to appear, 2004.

2.  S. Olariu, A. Wadaa, L. Wilson, and M. Eltoweissy, Wireless sensor networks - Leveraging the Virtual Infrastructure, IEEE Network, August 2004, to

appear.

3.  A. Wadaa, S. Olariu, L. Wilson, M. Eltoweissy, and K. Jones, Training a

Sensor Network, Mobile Networks and Applications (MONET), June 2004, to appear.

4.  A. Wadaa, K. Jones, S. Olariu, and M. Eltoweissy; and L. Wilson , A Scalable Solution for Securing Wireless Sensor Networks, IEEE Transactions on

Parallel and Distributed Systems, submitted.

5.  A. Wadaa, S. Olariu, and L. Wilson, and M. Eltoweissy , Scalable

Cryptographic Key Management in Wireless Sensor Networks, Journal of Ad Hoc Networks: Special issue on Data Communications and Topology Control in Ad Hoc Networks, Elsevier Publishers, accepted for publication.

6.  S. Olariu, A. Wadaa, M. Eltoweissy, D. Gracanin, and L. Wilson, Anonymity in Sensor Networks: Time-Frequency Randomization of Virtual Communication Graphs, International Journal of Wireless and Mobile Communications,

Special Issue on Wireless Ad Hoc Networking, Interscience Publishers, to

(20)

International Conference Proceedings

7.  D. Gracanin, M. Eltoweissy, S. Olariu, A. Wadaa, On Modeling Wireless Sensor

Networks, Proc. International Workshop on Wireless, Mobile and Ad Hoc Networks

(WMAN)}, Santa Fe, NM, April 2004.

8.  A. Wadaa, S. Olariu, L. Wilson, M. Eltoweissy and K. Jones, On providing anonymity in

wireless sensor networks, International Conference on Parallel and Distributed Systems, (ICPADS-2004), Newport Beach, California, July 2004.

9.  A. Wadaa, S. Olariu, L. Wilson, and M. Eltoweissy gWiSe: A Group Key Management

Scheme for Wireless Sensor Networks, IEEE Mediterranean Electro-technical Conference, Croatia , May 2004.

10.  S. Olariu, K. Maly, E. C. Foudriat and S. Yamany, Wireless support for telemedicine in

disaster management, International Conference on Parallel and Distributed Systems, (ICPADS-2004), Newport Beach, California, July 2004.

11.  K. Jones, A.Wadaa, S. Olariu, L. Wilson, and M. Eltoweissy, Towards a New Paradigm

for Securing Wireless Sensor Networks, NSPW 2003, August 18th - 21st, 2003. Ascona,

Switzerland, Proceedings New Security Paradigms Workshop 2003, pp 115-122.

12.  A. Wadaa, S. Olariu, L. Wilson, K. Jones and Q Xu, On Training a Sensor Network,

International Workshop on Wireless, Mobile and Ad Hoc Networks (WMAN), Nice, France, April 26, 2003.

13.  A. Wadaa, S. Olariu, L. Wilson, and M. Eltoweissy, Scalable key management for secure

communications in wireless sensor networks, Proc. International Workshop on Wireless Ad-hoc Networking, Tokyo, Japan, March 23-26, 2004.

(21)

1.  Security in wireless networks, Hampton University,

February 2003.

2.  State of the art in wireless sensor networks, Invited talk,

WMAN'2003, April2003, Nice, France.

3.  Securing wireless sensor networks, NRL, May 2003.

4.  Wireless sensor networks, University of Burgundy, Dijon,

France, June 2003.

5.  Energy-efficient protocols in wireless networks, Humboldt

University, Berlin, Germany, July 2003

6.  Securing wireless sensor networks -- new paradigms, Free

Universitaet, Berlin, Germany, July 2003.

7.  Securing wireless sensor networks -- a new paradigm,

University of Bologna, Italy, July 2003.

8.  Wireless sensor networks, Virginia Tech, October 2003

9.  Security issues in wireless sensor networks, Kent State

University, January 2004.

References

Related documents

Pugliese, M., Santucci Pair-wise network topology authenticated hybrid cryptographic keys for Wireless Sensor Networks using vector algebra 5th IEEE International Conference on

Providing Trusted Data for Industrial Wireless Sensor Networks Yu and He EURASIP Journal on Wireless Communications and Networking (2018) 2018 289 https //doi org/10 1186/s13638 018 1307

Hindawi Publishing Corporation EURASIP Journal on Wireless Communications and Networking Volume 2007, Article ID 81864, 14 pages doi 10 1155/2007/81864 Research Article Wireless

A virtual grid based real time data collection algorithm for industrial wireless sensor networks Zhu et al EURASIP Journal on Wireless Communications and Networking (2018) 2018 134

RESEARCH Open Access An energy efficient MCDS construction algorithm for wireless sensor networks Qiang Tang1*, Kun Yang1,2, Ping Li1, Jianming Zhang1, Yuansheng Luo1 and Bing

Wireless sensor networks (WSNs) are often used to track indoor mobile robots.. WSNs deploy a large number of wireless sensor nodes which can sense, process, and communicate in

Collaborative Data Collection & Quality Analysis In Smart Phone Based Wireless Sensor Networks.. 1 Wilson Thomas,

Number of different network routing protocols for wireless sensor networks have been developed such as TinyOS beaconing protocol [17], Greedy Perimeter Stateless Routing