Cybercrime Research Topics

Cybercrime is considered as a general issue that can be performed through digital systems or specific networks. We offer several cybercrime research topics that can be effectively explored using NS2, get best cybercrime research ideas on your areas of interest. By way of utilizing the NS2, we propose multiple cybercrime research topics which could be capable of in-depth investigation:

  1. Simulation of Distributed Denial of Service (DDoS) Attacks
  • Main Objective of the Study: For assessing the efficiency of diverse reduction and defense tactics, it is required to develop various kinds of DDoS assaults on network models through the adoption of NS2.
  • Key Goals: In network models, we aim to seek out the associated risks. In opposition to DDoS assaults, focus on creating more advanced systems.
  1. Analysis of Worm Propagation in Networks
  • Main Objective of the Study: To interpret the network architecture on how it impacts the range and velocity of worm propagation, NS2 has to be deployed that efficiently assists in simulating the dissemination of worms across diverse network topologies.
  • Key Goals: Considering the networks, impactful tactics need to be modeled for pre-diagnosis and control of worm epidemics.
  1. Evaluating the Security of Routing Protocols in MANETs
  • Main Objective of the Study: As regards diverse assaults like Sybil, wormhole and blackhole threats, we intend to evaluate the weakness of MANET (Mobile Ad Hoc Network) routing protocols with the help of NS2.
  • Key Goals: The safety characteristics of routing protocols in MANETs have to be advanced crucially. Modern and powerful technologies for security routing should be suggested.
  1. Impact of Packet Sniffing on Network Performance
  • Main Objective of the Study: By means of NS2, the implementation of packet sniffers in the network ought to be simulated. On the basis of network secrecy and functionality, the implications of these packet sniffers must be examined in-detail.
  • Key Goals: Susceptibilities which are caused due to packet sniffing are meant to be evaluated. To secure the network congestion, we aim to model safety measures.
  1. Phishing Attack Simulation and Prevention Techniques
  • Main Objective of the Study: Particularly in contexts which include comparable network-level risks or DNS spoofing, the network activities on various phishing assaults are simulated through the adjustment of NS2, even though it is basically a network simulator.
  • Key Goals: Our project mainly concentrates on gaining advanced knowledge on the potential techniques of phishing assaults. At the network phase, it involves assessing the capabilities of several mitigation methods.
  1. Secure Communication in IoT Networks
  • Main Objective of the Study: IoT (Internet of Things) is required to be simulated with the help of NS2. The security problems which occur through open wireless communication channels and constrained computing resources are supposed to be investigated intensively.
  • Key Goals: Safer communication protocols which are customized for IoT platforms are intended to be recommended and evaluated by us.
  1. Performance of Intrusion Detection Systems (IDS) in Large Networks
  • Main Objective of the Study: Depending on various assault contexts, we should examine the capability and adaptability of different IDS executions by simulating the huge network platforms through the deployment of NS2.
  • Key Goals: To attain minimum false negatives or positives and best coverage in extensive networks, this project emphasizes on enhancing IDS setups in an effective manner.
  1. Mitigating Insider Threats in Corporate Networks
  • Main Objective of the Study: In NS2, the configuration of corporate networks must be designed effectively. For the purpose of simulating the contexts of insider threat and assessing the efficiency of various identification and reduction tactics, these set up should offer further assistance.
  • Key Goals: As a means to decrease the susceptibilities of insider threats, we intend to advance the technical approaches and extensive security strategies.
  1. Cryptographic Protocols Performance in Ad Hoc Networks
  • Main Objective of the Study: Reflecting on aspects like energy usage, throughput and response time, NS2 must be used by us for analyzing the functionality implications in executing the cryptographic protocols on ad hoc networks.
  • Key Goals: Specifically in resource-limited ad hoc networks, it is advisable to stabilize functionality and security by detecting and executing the best cryptographic techniques.
  1. Simulation of Cyber Attacks on Smart Grid Networks
  • Main Objective of the Study: To design smart grid communication networks and simulate different cyber assault contexts, we have to deploy NS2. On grid integrity and flexibility, this model must evaluate the critical implications.
  • Key Goals: The cybersecurity principles of smart grid networks are meant to be improved. Regarding the major services, focus on assuring the constant integration.

Is it possible to create my own anti phishing software for my final year project in cyber security?

Yes! You are able to develop your own anti phishing software for your final year project in the area of cyber security by adhering to crucial measures, even though it can be a challenging task. To initiate this project, consider the following systematic guide:

  1. Determine the Range and Goals
  • Extent: Specific components of phishing which you aim to work with need to be specified clearly. Incorporating the social media, websites and emails, phishing could be emerged by means of diverse sources. Choose yourself, whether you plan to concentrate on integration of certain areas or only one particular area.
  • Goals: The key objective of your anti-phishing software must be determined in an obvious manner. For instance, it might be obstructing the phishing concept automatically, informing users with regard to questionable websites or identifying email scams.
  1. Explore the Current Solutions
  • To interpret the potential abilities and constraints, you have to carry out a detailed study on existing anti-phishing tools and mechanisms. For evaluating the details for phishing indications, it could involve web service APIs, browser extensions and email filters.
  1. Select Your Methodology
  • Heuristic Analysis: In accordance with familiar patterns like email content or doubtful URLs, you must detect the phishing approaches by creating heuristics or series of measures.
  • Machine Learning: As a means to differentiate them effectively, interpret a dataset of genuine and scam emails or websites through deploying a machine learning framework.
  • Hybrid Approach: For an advanced solution, heuristic analysis has to be synthesized with machine learning.
  1. Collect and Organize Your Dataset
  • Certain dataset which includes instances of phishing as well as ethical content can be required, if you select the machine learning methods. Through gathering instances, you can collect your individual dataset or use the accessible public datasets.
  1. Design the Software
  • Prototype: A simple prototype of your software ought to be modeled in the beginning. For instance, in terms of your preferred methodology, your prototype can scan emails for phishing signs, in case you plan to consider email phishing.
  • Testing and Iteration: Make use of your dataset to examine your prototype. On the basis of the findings, optimize your algorithms. To decrease false positives and enhance authenticity, you should conduct sufficient repetition in the validation process.
  1. Assess Performance
  • Take advantage of metrics like F1 score, accuracy, recall and precision to assess the functionality of your software. Regarding the practical contexts, you have to evaluate the efficiency and applicability by focusing on performing user evaluation.
  1. Record and Exhibit Your Project
  • Your study, evolutionary procedures, testing, methodologies and assessment findings have to be recorded in detail. The main issue, your technique, addressed problems and modeled findings must be included in your thesis or final report.
  • By emphasizing its advantages, characteristics and probable effects on resisting phishing, exhibit your project by organizing a presentation.

Along with main focus and purpose, some of the noteworthy and rewarding research topics based on cybercrime are offered by us. To guide you in developing your own individual anti phishing software in the cybersecurity area, we also offer a detailed guide with simple procedures.

Cybercrime Research Ideas

Cybercrime Research Ideas where we use ns2 are listed below, we guide you with end-to-end result. As we have handled more than 5000+ Cybercrime projects we can easily achieve end results perfectly in a flawless way.

  1. Information security in a public safety, participatory crowdsourcing smart city project
  2. Security Policies in Adaptive Process-Aware Information Systems: Existing Approaches and Challenges
  3. Research on the Application Pattern of Domestic Software in the Security Information Application System
  4. An information system security dynamic assessment method using stochastic Petri net based on business flow
  5. The Development of Method for Evaluation of Information Security Threats in Critical Systems
  6. Information security maturity model: A best practice driven approach to PCI DSS compliance
  7. Research and Implementation of Intelligent Substation Information Security Risk Assessment Tool
  8. The Effect of Programmer Information Security Awareness on the Results of Vulnerability Assessments in Achieving Secure Applications
  9. Information systems security and security extension in Jersey RESTful framework
  10. Research on Information Security Release Scheme of Metro Intelligent Passenger Service
  11. The model and the security mechanism of the information retrieval system based on mobile multi-agent
  12. Information-exchange Enhanced Feature Pyramid Network (IEFPN) for Detecting Prohibited Items in X-ray Security Images
  13. MISMA: An Approach to Mexican Information Security Methodology and Architecture for PYMES
  14. A evaluation method for classified security protection of information systems based on neural network and rough set
  15. Analysis of the implementation of the information security management in the IPTV/VoIP system of the Telecom operator
  16. The Practice of the Flipped Classroom Mode in the Information System Security Curriculum
  17. Integration of IT frameworks for the management of information security within industrial control systems providing metrics and indicators
  18. A Model and Method of Information System Security Risk Assessment based on MITRE ATT&CK
  19. Improving security in information technology using cryptographic hardware modules
  20. On the Federation of Information in Coalition Operations: Building Single Information Domains Out of Multiple Security Domains