Types Of Attacks Final Year Projects with Source Code

Types Of Attacks Final Year Projects for BE, BTech, ME, MSc, MCA and MTech final year engineering students. These Types Of Attacks projects give practical experience and help complete final-year submissions. All projects follow IEEE standards and each project includes source code, project thesis report, presentation, project execution and explanation.

Types Of Attacks Final Year Projects

  1. A Quantitative Logarithmic Transformation-Based Intrusion Detection System
    This project focuses on building a system to detect network attacks without using complex machine learning. It analyzes network behavior using simple statistical methods, making it fast and easy to run in real time. The system can identify different types of attacks in both real and simulated network traffic. Tests show it detects threats accurately, even when data is limited.
  2. A Novel Energy-Efficient Scheme for RPL Attacker Identification in IoT Networks Using Discrete Event Modeling
    This project focuses on making IoT networks more secure. The researchers created a system that can detect hidden attacks in IoT devices that are hard to spot. Their method uses smart checking and a special model to tell normal activity from attacks. Tests show it works accurately, uses little energy, and can find the harmful devices without complex setup.
  3. PSDS–Proficient Security Over Distributed Storage A Method for Data Transmission in Cloud
    This project focuses on keeping data safe when stored in the cloud. It introduces a method called PSDS, which separates sensitive and normal data. Sensitive data is split, encrypted, and stored across multiple clouds, while normal data is stored in a single cloud. Tests show that PSDS protects against various cyberattacks and is faster than older encryption methods.
  4. Rearranging Pixels is a Powerful Black-Box Attack for RGB and Infrared Deep Learning Models
    This project studies how neural networks for image recognition can be tricked by specially designed attacks. The researchers created two new attack methods and tested them on normal and infrared images. They also showed that using these attacks in training can make models stronger and more reliable. Finally, they explored if attacks in one type of image can affect another type without extra adjustments.
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Types Of Attacks Project Synopsis & Presentation

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Types Of Attacks Project Thesis Writing

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