Title: Node Misbehavior in Cooperative Networks
1SENSOR FUSION LAB RESEARCH ACTIVITIES PART II
SIGNAL/IMAGE PROCESSING AND NETWORKING Sensor
Fusion Lab, Department of Electrical Engineering
and Computer Science
Pramod K. Varshney
335 Link Hall, Syracuse University,
Syracuse, NY 13244
Email
varshney_at_ecs.syr.edu
Medical Image Processing
Research Highlights
- MAC Performance Optimization
- Optimization of several important parameters of a
wireless MAC protocol (e.g., IEEE 802.11)
including transmission range and carrier sensing
range - A new backoff algorithm for IEEE 802.11
- Noise Enhanced Signal Processing
- To improve system performance, the NESP based
approaches keep the existing systems and improve
their performance by injecting suitable noise to
the input - Established the mathematical framework to analyze
the NESP effect in signal detection and
estimation systems - Determined the optimal noise distributions to
obtain the best achievable performance - Proposed two noise enhanced image processing
system frameworks to enhance the performance of
image processing systems
- Region of interests (ROI) Image Enhancement
first determine the ROI and then enhance ROI and
suppress the background - Noise enhanced image segmentation
- Iterative Lesion Detection Algorithm
- Sensor Deployment/Placement
- Distributed, intelligent, energy-efficient, and
self-spreading deployment algorithms are proposed
for mobile sensor networks - Multi-objective algorithms are designed for
optimum sensor placement in specific sensor
network applications such as target detection and
localization
Original Image
LSEWRI Segmentation Uniform
noise enhanced segmentation
Security and Information Assurance
- Research Capabilities
- Potential applications and future development of
NESP approaches in Radar signal processing,
Communications, Image/Video Processing, medical
image processing (medical image enhancement,
segmentation, lesion detection), Human Sensory
Systems (Hearing-Aids, Balance), Acoustic Signal
processing ( Voice Activity Detection, Whisper
detection)
- Research Capabilities
- Development, design and evaluation of remote
sensing image processing systems such as
Surveillance, Registration, Classification,
Change Detection, data compression, feature
extraction systems - Development, design and evaluation of medical
image processing systems such as ROI
determination, Lesion Detection, Registration,
Fusion, segmentation systems
- Node Misbehavior in Cooperative Networks
- Two types of node misbehavior selfish and
malicious - An acknowledge-based approach is proposed to
detect and prevent routing misbehavior in Mobile
Ad Hoc Networks (MANETs) - A validation solution is proposed to defend
against Denial of Service (DoS) attacks based on
the vulnerabilities of IEEE 802.11 MAC
Computer and Wireless Networking
- Securing Sensor Data and Networks
- A pairwise key pre-distribution scheme
- A novel random key pre-distribution scheme that
exploits deployment knowledge and avoids
unnecessary key assignment - A witness-based solution that assures the
validation of the data sent from data fusion
nodes to the base station
- QoS Routing for Ad Hoc and Mesh Networks
- Adaptive Dispersity QoS Routing (ADQR) protocol
that is capable of discovering multiple disjoint
paths with QoS guarantees - Fast re-routing algorithm based on signal
strength that significantly reduces data flow and
QoS disruptions
µ 3 s 1 A1
N
30, µ 3 s 1 A 1
- Signal X A W(n)
- Noise Distribution
- Test Statistics Sign Detector
- Geographic Routing
- Contention-based Geographic Forwarding (CGF)
paradigm that eliminates the use of beaconing
scheme in traditional geographic forwarding - An analytical framework for performance
evaluation of geographic routing - On-demand Geographic Forwarding (OGF) protocol
for large-scale, highly dynamic, or
resource-constrained wireless multi-hop networks
Analysis of Remote Sensing Data
Block diagram of a WSN for distributed detection
using a data fusion node and two witness
- Registration
- Mutual Information based registration for
different modality images - Subspace based Fourier method for fast
registration. - Performance bounds on image registration.
- Intelligent Image Registration.
- Fusion
- Markov Random Fields (MRF) based image fusion
utilizing significant correlation among
neighborhood pixels - Image fusion performance evaluation based on
human vision system (HVS) models - Feature extraction, reduction and selection for
hyperspectral image( HSI) processing - Independent Component Analysis(ICA) based HSI
visualization - Detection and Classification
- Support Vector Machines based approaches
- MRF based approaches
- ICA based unsupervised classification
- Sub-pixel mapping and soft classification.
- MRF based change detection
- Concealed weapon detection
- Applications of remote sensing to ecosystem
modeling
- Distributed Sensor Network Navigation
- Applications emergency evacuation, military
deployment, area exploration - Three main components danger detection and
network awareness, in-network path planning, and
distributed guidance for user movement - geographic in-network path planning algorithms
for sensor network navigation in dynamic
hazardous environments
- Research Capabilities
- Design and evaluation of new algorithms,
protocols, and applications - Modeling and optimization of existing algorithms
and protocols - Network simulation, emulation, and prototyping
- Fundamental network theory and principles
- Development of efficient and effective strategies
for securing network infrastructure and for
protecting critical information - Analysis and design of secure protocols and
algorithms
Navigation of users using a static sensor network
in hazardous environments
Sensor Fusion Lab