securing the cloud with advanced artificial intelligence daniel kovach, mike simms
TRANSCRIPT
Neural Networks
• Emulate biological nervous systems• Cutting edge area of research
Output
Processing
Input Input
Processing
Input Input
Why Neural Networks?
• Highly adaptable• Data driven• Very little knowledge is needed about the data• Reduced latency due to optimized Raytheon
proprietary library
Method
• Determine what variables indicate malicious behavior
• Train NN on data• NN determines what constitutes malicious
behavior
Application Neural Networks Statistical Methods
IDS Systems 1 false positive/day 50 false positives/day
Option Pricing
Bank Failure Prediction
Bankruptcy Prediction
Studies in Metabolism
Cancer Detection
Melanoma Detection 74.5% accuracy 74.8% accuracy
Medical Comparative Study 10 cases 4 cases
Predicting River Flow
Analyzing Sales Data
Marketing Predictions
Image Classification
Well Log Data (Slight)
Wind Turbine Data
Seismic Activity 3-7% improvement
Student Learning Rates Up to 30% improvement
Neu
ral N
etw
orks • 80%
Accuracy• 1 FP/day
Stati
stica
l Tec
hniq
ues • 80%
Accuracy• 50
FP’s/day
Neural Networks in IDS Systems
AdobeMicrosoft Word
Microsoft Excel
0
10
20
30
40
50
60
70
80
90
100
Neural Network Results
False PositivesFalse Negatives
Perc
ent
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