DISSERTATION MACHINE LEARNING ALGORITHM DEVELOPMENT

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SEP 23, 2019
MACHINE LEARNING MODELS FOR INTRUSION DETECTION
SYSTEMS(IDS)
Tips for developing academically sound IDS models
and algorithms for Your IEEE Publication 2019
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TOPICS TO BE DISCUSSED
About Us
Intrusion Detection System
Types Of IDS Techniques
Pre-Processing IDS Data
IDS classification
Summary
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PhD Lab _at_
PhD Assistance
Engineering and Technology
ET Lab at PhD Assistance is involved in
exploring novel research areas by conducting
dynamic research. It promotes innovation in all
fields of engineering by advancing the technology
with structured and continuous research. The
problems and challenges faced by the existing
technologies and trends are explored by our
researchers exists in scholarly literature, in
theory, or in practices that needs deliberate
investigation. These problems are identified and
fixed by our researchers by suggesting better
novel alternatives with appropriate tools,
technologies and approaches, thereby proving
their effectiveness in real time applications.
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INTRUSION
Unauthorised activities on the organisation's
local computer network
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Ransomware
Denial of Service (DoS)
MOST COMMON INTRUSIONS
SQL injections
Cross-site scripting attacks
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Monitors network traffic for suspicious activity
and issues alerts.
Scans a network or a system for harmful activity.
It varies from a single computer to large
network.
INTRUSION DETECTION SYSTEM
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Creates a log
INTRUSION PREVENTION SYSTEM
IPS detect the intrusion prevent them
Blocks IP address source
Restrict the access of intrusions
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TYPES OF IDS TECHNIQUES
Network based (NIDS)
Host based intrusion (HIDS)
Vulnerability assessment-based (VIDS)
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PRE-PROCESSING IDS DATA
Performed through data set(KDD99, DARPA dataset)
Dataset size should be huge balanced
Prevent intrusions in real-time traffic
Easier to categorize, reduce operation time and
improves classification performance and accuracy.
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Statistical anomaly detection algorithms
Machine learning (ML) algorithm Artificial
Neural Networks
IDS CLASSIFICATION
Knowledge-based detection
Data mining Algorithms
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SUMMARY
Building an IDS is extremely challenging
A constant update will improve the accuracy and
reduce the error rates.
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ANY QUERIES APPROACH US
UK 44-1143520021
INDIA 91-4448137070
EMAIL ADDRESS
info_at_phdassistance.com
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