How to Spot Intruders in Network Security.pptx (1).pdf

To spot intruders in network security, monitor for unusual activities like unauthorized access attempts, spikes in traffic, or unfamiliar IP addresses. Using tools like intrusion detection systems (IDS) and regularly analyzing log files can help detect potential threats early.

1. INTRUDERS IN
NETWORK SECURITY
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2. Definition of Network IntrusionsDefinition of Network Intrusions
01 02 03
Concept of Network
Intrusions
Significance in
Security
Types of Intrusions
Network intrusions refer to
unauthorized access or
attempts to access a computer
network, often with malicious
intent, which can compromise
data integrity and
confidentiality.
Understanding network
intrusions is crucial for
developing effective security
measures, as they can lead to
data breaches, financial loss,
and damage to an
organization's reputation.
Network intrusions can
manifest in various forms,
including malware attacks,
phishing attempts, and denial-
of-service attacks, each
requiring specific detection
and response strategies.
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3. Common Types of Intruders
Malicious Insiders
External Hackers
Automated BotsIndividuals within an organization who exploit their access to sensitive information for personal gain or to
harm the organization, often posing a significant threat due to their knowledge of internal systems. Unauthorized individuals who attempt to breach network security from outside the organization, utilizing
various techniques such as phishing, brute force attacks, or exploiting software vulnerabilities to gain
access. Software programs designed to perform automated tasks on networks, which can be used for malicious
purposes such as launching distributed denial-of-service (DDoS) attacks or scraping sensitive data from
websites.
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4. Impact of Network Intrusions
Financial Consequences Data Breach Implications Operational Disruption
Network intrusions can lead to
significant financial losses for
organizations, including costs
associated with data recovery, legal
fees, regulatory fines, and potential
loss of business due to reputational
damage.
The unauthorized access to
sensitive data can result in data
breaches, compromising customer
information and intellectual property,
which may lead to long-term trust
issues with clients and stakeholders.
Intrusions can disrupt normal
business operations, causing
downtime and resource diversion to
address security incidents, ultimately
affecting productivity and
organizational efficiency.
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5. Unusual Network Traffic Patterns
01 02 03
Increased Data
Volume
Unusual Protocol
Usage
Geographic
Anomalies
A sudden spike in data
transfer rates, especially
during off-peak hours, can
indicate unauthorized access
or data exfiltration attempts
by intruders.
The emergence of
uncommon protocols or ports
being used for
communication may signal
malicious activity, as
attackers often exploit less
monitored channels to evade
detection.
Traffic originating from
unexpected geographic
locations, particularly those
not associated with legitimate
users, can be a strong
indicator of compromised
accounts or external attacks.
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6. Unauthorized Access Attempts
Failed Login Attempts
Access Outside Normal Hours
Changes in User PermissionsA high number of failed login attempts from a single IP address or user account can indicate a brute force attack,
where an intruder is trying to guess passwords to gain unauthorized access. Unusual access patterns, such as logins during non-business hours or from unexpected locations, may suggest
that an unauthorized user is attempting to infiltrate the network. Sudden alterations in user permissions or account settings without proper authorization can be a sign of an
intruder trying to escalate privileges and gain broader access to sensitive information.
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7. Anomalies in User Behavior
Inconsistent Login
Patterns
Unusual Resource
Access
Behavioral Changes
Users exhibiting erratic login times
or locations that deviate from their
established behavior may indicate
compromised accounts or
unauthorized access attempts,
warranting further investigation.
A sudden increase in access to
sensitive files or systems by a
user who typically does not
engage with such resources can
signal potential insider threats or
external intrusions.
Significant shifts in user activity,
such as abrupt changes in
communication frequency or the
use of atypical applications, may
suggest that an account has been
hijacked or is being used for
malicious purposes.
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8. Intrusion Detection Systems (IDS)
01 02 03
Definition and
Purpose
Types of IDS Response
Mechanisms
Intrusion Detection Systems
(IDS) are security tools
designed to monitor network
traffic for suspicious
activities and potential
threats, providing alerts to
administrators about
possible intrusions or
breaches.
There are two primary
types of IDS: Network-
based IDS (NIDS), which
analyzes traffic across the
entire network, and Host-
based IDS (HIDS), which
monitors individual devices
for signs of compromise,
each serving distinct roles
in a comprehensive
security strategy.
IDS can be configured to
respond to detected threats
in various ways, including
generating alerts for
immediate human
intervention, logging incidents
for future analysis, or even
taking automated actions to
mitigate risks, such as
blocking malicious IP
addresses.
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9. Network Monitoring Tools
Real-time Traffic Analysis
Alerting and Reporting Features
Comprehensive Data LoggingNetwork monitoring tools provide continuous surveillance of network traffic, enabling the detection of unusual
patterns that may indicate intrusions, such as unexpected spikes in data flow or unauthorized access attempts. These tools often include alert systems that notify administrators of potential security breaches in real-time,
allowing for swift response actions to mitigate risks and prevent further damage to the network. By maintaining detailed logs of network activity, monitoring tools facilitate forensic analysis post-incident,
helping organizations understand the nature of intrusions and improve their security posture through informed
decision-making.
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10. Log Analysis Techniques
Importance of Log Data Techniques for Effective
Analysis
Integration with Security
Tools
Log files serve as a critical source of
information for identifying and
analyzing security incidents,
providing insights into user activities,
system events, and potential
anomalies that may indicate
intrusions.
Employing techniques such as
pattern recognition, anomaly
detection, and correlation analysis
can enhance the ability to spot
irregularities in log data, allowing for
timely identification of potential
threats.
Integrating log analysis with other
security tools, such as SIEM
(Security Information and Event
Management) systems, enables
organizations to automate the
detection process and improve
response times to security incidents.
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11. Implementing Security Policies
01 02 03
Establish Clear
Guidelines
Regular Training and
Awareness
Continuous Policy
Review
Develop comprehensive
security policies that outline
acceptable use, access
controls, and incident
response procedures to
create a structured approach
for preventing network
intrusions.
Implement ongoing training
programs for employees to
ensure they understand
security policies, recognize
potential threats, and know
how to respond effectively to
suspicious activities.
Regularly assess and update
security policies to adapt to
evolving threats and
technological advancements,
ensuring that the
organization remains
resilient against potential
intrusions.
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