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Network Attack projects examples using omnet++

On Network Attack projects using omnet++ tool we share high quality project performance contact omnet-manual.com to get best simulation outcome. The following are some instances of network attack projects that we can execute using OMNeT++:

  1. Distributed Denial of Service (DDoS) Attack Simulation
  • Objective: Mimic a DDoS attack where several nodes overcome a target server including excessive traffic, causing a denial of service.
  • Implementation: Make a network topology with numerous attacker nodes that send a large volume of traffic to a target server. Calculate the influence on the server’s performance and network throughput.
  • Extension: Execute and test numerous mitigation strategies, like rate limiting, traffic filtering, or traffic rerouting, to counter the DDoS attack.
  1. Man-in-the-Middle (MitM) Attack Simulation
  • Objective: Feign a MitM attack where an attacker interrupts and possibly varies the communication among two legitimate nodes.
  • Implementation: Create a network where an attacker node can interrupt traffic among a client and a server. Mimic various scenarios, for example eavesdropping, altering messages, or injecting malicious packets.
  • Extension: Perform encryption protocols such as SSL/TLS to secure communication and avoid MitM attacks. Compare the efficiency of these protocols in protecting versus the attack.
  1. ARP Spoofing Attack Simulation
  • Objective: Mimic an ARP spoofing attack where an attacker sends sham ARP messages to connect their MAC address with the IP address of a legitimate node, thereby intercepting or redirecting traffic.
  • Implementation: Make a network where an attacker node transmits malicious ARP replies to redirect traffic meant for a legitimate node. Compute the impact on network communication and the ability of the attacker to intercept data.
  • Extension: Execute defence mechanisms like static ARP tables, ARP inspection, or detection tools to counter the ARP spoofing attack.
  1. DNS Spoofing Attack Simulation
  • Objective: Emulate a DNS spoofing attack where an attacker preverts the DNS resolution process, triggering users to be redirected to malicious sites.
  • Implementation: Form a network with a DNS server and numerous clients. Feign an attacker who transmits fake DNS responses to redirect clients to malicious servers. Consider the consequences on user traffic and data security.
  • Extension: Execute DNSSEC (DNS Security Extensions) to avoid spoofing and demonstrate its efficiency in obtaining DNS resolutions.
  1. Routing Attack in Wireless Networks (e.g., Blackhole Attack)
  • Objective: Mimic a routing attack in a wireless network where a malicious node falsely advertises itself as having the shortest path to a destination, triggering it to drop or misroute packets.
  • Implementation: Execute a wireless ad-hoc network with several nodes. Introduce a blackhole attacker that interrupts routing information and drops packets. Evaluate the impact on network performance and data delivery.
  • Extension: Perform the secure routing protocols that detect and mitigate such attacks, and liken the network performance with and without the attack.
  1. TCP SYN Flood Attack Simulation
  • Objective: Put on a TCP SYN flood attack, a kind of DDoS attack where the attacker transmits a large number of SYN requests to a target server, using its resources and avoiding legitimate connections.
  • Implementation: Build a network where attacker nodes send a flood of SYN packets to a target server. Estimate the impact on the server’s ability to manage legitimate traffic.
  • Extension: Execute SYN cookies or other defence mechanisms to defend versus SYN flood attacks and calculate their effectiveness.
  1. Wormhole Attack in Mobile Ad Hoc Networks (MANETs)
  • Objective: Feign a wormhole attack in a MANET where an attacker records packets at one location in the network and tunnels them to other location, making a shortcut that disrupts normal routing.
  • Implementation: Generate a MANET with mobile nodes. Launch a wormhole attack by placing two colluding attacker nodes at various locations in the network. Evaluate the impact on routing and network performance.
  • Extension: Execute detection mechanisms to classify and mitigate wormhole attacks, and liken the network’s performance with and without the attack.
  1. Replay Attack Simulation
  • Objective: Mimic a replay attack where an attacker intercepts and retransmits useable data transmissions to make unauthorized effects.
  • Implementation: Build a network where an attacker node captures effective data packets and replays them to the target server, triggering the server to process the similar request numerous times. Estimate the impact on the server’s state and data integrity.
  • Extension: Perform the time-stamping or sequence numbers to avoid replay attacks and establish their efficiency.
  1. Sybil Attack in Peer-to-Peer Networks
  • Objective: Mimic a Sybil attack in a peer-to-peer network where a single attacker node offers several identities to disturb the network’s operations.
  • Implementation: Create a peer-to-peer network with nodes interacting with each other. Launch a Sybil attacker that creates numerous fake identities to gain a disproportionate influence over the network. Examine the effects on consensus and resource allocation.
  • Extension: Execute Sybil attack detection and prevention mechanisms, like identity validation or reputation systems, and assess their efficiency.
  1. Eavesdropping Attack in Wireless Networks
  • Objective: Mimic an eavesdropping attack where an attacker passively observes wireless communications to get sensitive information.
  • Implementation: Build a wireless network with numerous communicating nodes. Feign an attacker node that captures and logs packets without interfering with the communication. Estimate the kinds of information that can be captured and the potential risks.
  • Extension: Execute encryption protocols for wireless communication to defend versus eavesdropping, and liken the security of encrypted against unencrypted networks.
  1. Data Exfiltration Attack Simulation
  • Objective: Feign a data exfiltration attack where an attacker secretly handovers sensitive data from a compromised network to an exterior location.
  • Implementation: Make a network with a server holding sensitive data. Mimic an attacker node that advances unauthorized access and exfiltrates data to an external server. Compute the impact on data security and network traffic.
  • Extension: Execute the data loss prevention (DLP) mechanisms to identify and block unauthorized data transmissions and estimate their effectiveness in avoiding exfiltration.
  1. Brute-Force Attack on Network Authentication
  • Objective: Mimic a brute-force attack where an attacker tests all possible combinations of credentials to advance unauthorized access to a network service.
  • Implementation: Set up a network service like SSH or HTTP with authentication. Mimic an attacker node that tries to brute-force login credentials. Calculate the time and resources necessary for the attack to succeed.
  • Extension: Execute account lockout, CAPTCHA, or rate-limiting mechanisms to protect versus brute-force attacks, and calculate their effectiveness.

Overall, we had presented detailed examples and implementations are helps to execute the network Attack Projects using OMNeT++ and also we shall offer further informations as per your needs.

Related Topics

  • Network Intrusion Detection Projects
  • Computer Science Phd Topics
  • Iot Thesis Ideas
  • Cyber Security Thesis Topics
  • Network Security Research Topics

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