Hello everyone in this video as the beginning
we will talk about how we perform NTA we will
learn the phases of NTA in detailed so
that we will take a closer. Look at the NTA. Let's
get started.
How can we perform Network traffic analysis?
There are several tools and techniques that can be used
to perform Network traffic analysis.
See some common approaches now.
First one pickets anything pack is
anything involves capturing and analyzing individual
packets of data as they travel
across Network take it something can be
done using specialized software or hardware tools
such as packet analyzers or sniffers.
And the second one flow analysis low analysis
involves combining packets into logical
flows and analyzing patterns in
the data. This can be useful for understanding. How
data is moving across the network and identifying
Trends or anomalies and
third one protocol analysis.
Protocol analysis involves investigating the
structure and content of packets
to understand how different Protocols are being
used on the network protocol analyzers are
specialized tools that can decode
and display the contents or packets in a human
readable format.
And the fourth one network tabs and
probes Network tabs and probes are
Hardware devices that can be placed on a network
to capture and analyze traffic.
And network tabs allow traffic to pass through
them and can be used to monitor life. Terrific while
probes can be inserted into a network to capture
traffic for offline analysis.
And the fifth one network analyzers Network
analyzers are software tools
that can use it to capture and analyze Network
traffic these tools often have a graphical user
interface and can display traffic data
in a variety of formats such as
charts tables and graphs.
Network traffic analysis is an important aspect
of network management and can be used to
ensure that a network is running efficiently and securely
They have thought about the NTA phases on the last
video and we will talk about now NTA process.
The process of network traffic analysis can
be described in detail as here. First one
determine the scope of the analysis.
Identify the specific calls and objectives of
the analysis such as identifying security
threats optimizing Network performance or
troubleshooting issues and the
next step is collecting data.
We will select the suitable data collection method
based on your goals and the resources available
to you.
Options include packets anything log
analysis and network flow analysis.
And the third step is analyze the data identifying patterns
Trends and enemies and
the next step is preparing data data
collection needs to be cleaned filtered and
formatted for analysis.
In the last step, we will report and take an
action.
They will present the results of the analysis and
take action based on the findings. Now, we
will learn the each step in depth.
In the first step. We will determine the
scope of the analysis clearly Define the specific
calls and objectives of the analysis. This
may include identifying security threats and
optimizing Network performance and
then troubleshooting issues or
analyzing traffic patterns for business intelligence purposes
identify the specific Network segment
or device that will be analyzed. This
may be a specific router switch or server
or it may be a group of devices. You
may also want to consider analyzing traffic on
multiple devices or segments in order to get a
more comprehensive view of the network.
Specify the time period that will be
covered by the analyzers. This may be a
specific day week or Mount or it may be
a longer period of time in order to identify Trends
and patterns.
Considering constraints or limitations that
may impact the scope of the analysis. This
may include technical limitations.
Such as the availability of data collections
tools and/or the capacity of
the network to handle additional traffic or organizing
or compliance considerations.
In the collecting data setup, you will
select the suitable data collection method based on
your goals and resources available to you options include
packets anything log analysis and
network flow analysis.
Each method has its own strengths and
limitations and the best approach
will depend on your specific needs and we
will set up the data collection process including putting together
the necessary tools and establishing protocols
for capturing and storing the
data and we will make sure to consider any
privacy or compliance concerns when
collecting data we will collect
the data over the specified time period we should
be sure to collect enough data to provide
representative sample of network traffic and
this may involve collecting data at
different times of the day or week or during
different seasons to account
for variations in terrific Peters.
And step three we will prepare the data.
We will clean the data by removing any irrelevant
or duplicate records.
This may involve filtering out traffic from specific
sources or destinations or removing
data that is not relevant to your
analysis. We'll through the data to include only
the specific types of traffic that
are relevant to your analysis. This may
involve selecting specific protocols and
or IP addresses
and we will normalize the data if necessary for
example by converting data from different
sources into a consistent format.
And this may have converting timestamps to
a common time zone or converting data
from different units into a standard
format.
And we will format the data into a usable form
such as a spreadsheet or database.
And the most important step is analyzing
the data use statistical analysis
machine learning or visualization tools
or to identify patterns
and Trends in the data.
This may contain calculating metrics such as
average traffic volume. Terrific volume
over time old number of unique IP
addresses look for anomalies or
durations from normal traffic patterns, which
may indicate issues or security
threats.
Now if you want to picture the analyzing step in
more detailed we can talk about these phases consider
the specific context of the network and
the goals of the analysis when identifying
anomalies, for example, if you are
analyzing traffic on a server, you may look
for patterns that indicate High resource usage or
unusual activity.
If you are analyzing traffic on a router, you
may look for patterns that indicate congestion or
drop packets.
For example, if you are trying to optimize Network
performance, you may make recommendations for
improving Network efficiency based
on the patterns and Trends you
identified in the data.
If you are trying to identify security threats, you
may look for patterns that indicate malicious activity
and take suitable action
to respond to these threats.
And consider the specific context of the network
and the goals of the analysis when interpreting
the data and in the
step 5, we will validate the results. We will
verify the accuracy and reliability of
the results by comparing them to other sources
of data or using other analysis techniques
and we will consider the limitations of
the analysis and the data that was collected and how
these limitations may have impacted the
results.
And step 6 we will review the findings.
We will reveal the results of the analysis and consider
their implications.
They will determine what actions should be taken
based on the findings such as making recommendations for
improving Network performance identifying
and responding to secret threats
or terrible shooting issues in the
last step. We will prepare a report and take
action. We will document the findings of
the analysis in a clear and concise manner including
any recommendations for Action. We
will provide the documentation to relevant stakeholders
such as Network administrators or
management.
Imagine that a company has recently experienced
a series of security breeds and the
IT department wants to use Network
traffic analysis for identify
the cause of the bridge and prevent feature attacks
to do this. They set up a
packet signer on their Network to capture and
analyze all traffic passing through
their Network the IT department Begins by
examining the packets to understand how different Protocols
are being used on the network. They
annotize that a large number of packets are
being sent using the FTP which means file
transfer protocol, which is used for
transferring files between devices further analysis
reveals that many of
these FTP packets are coming from
a single device on the network and the
fire is being transferred are large in size
and contain sensitive data.
The IT department also uses flow
analysis to identify patterns in the
data denetize that there are several forms of
data between the suspicious device and
external servers which suggest that
the device may be sending data out of
the network.
Based on this analysis. The IT department concludes that
the security Bridge are likely the
result of an Insider thread.
And that the suspicious device is being used to exfiltrate
sensitive data from the network.
They take steps to secure the device and Implement
additional security measures to prevent future
breaches.
This is just one example of how Network traffic
analysis can be used to identify security threats
and prevent future attacks. In
this case. The IT department used a
combination of packets anything protocol analysis
and flow analysis to
identify patterns and Trends in
the data understand the behavior
of devices on the network.
another scenario based on HTTP traffic
imagine you are a network security Analyst at a
company and you are responsible for
monitoring the network traffic to ensure the
security of the company's systems one day
you're notice and unusual amount of HTTP
traffic coming from a particular IP
address that isn't known to belong
to any of the companies employees.
Upon further investigation you discover that
the traffic is coming from a device that has
been infected with malware and is
now being used to perform a d-dose attack
on the company's website to diminish
their attack. You can use a variety of
tools and techniques to analyze the
HTTP traffic and identify the
source of the attack this might involve
investigating the heaters and the content of
the HTTP requests.
Analyzing the patterns of the terrific and using
other network forensic techniques to
trace the traffic back to its source.
After identifying the source of the attack and
securing the infected device you can take
additional steps to prevent similar attacks in
the feature. This might include implementing measures
such as rate limiting filtering
traffic based on IP address
or other characteristics or deploying
firewalls or other security measures
to block malicious traffic. You can
also use the information you gather during your
analysis to report the attack to relevant authorities
such as low enforcement or
cyber security organizations this can
help to identify and prosecure the
individuals or groups responsible for that attack and
can also serve as a warning to
others who might be considering similar types of
attacks.
Finally you can use the lessons learned
from this incident to improve the company's overall
security position by proactively addressing
security threats and continually improving the
company's defenses. You can help to protect
the company systems and data from feature attacks.
That's all for now. We will discuss about the OSI and
tcp/ip models in the next lesson. So
see you on the next video.