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Eric Yocam's Projects

bgp-routing-attacks-sim-poc icon bgp-routing-attacks-sim-poc

Simulates the Border Gateway Protocol (BGP) routing process and demonstrates two common BGP attacks: sub-prefix hijacking and BGP prepending.

cnn_hnn_comparison_analysis_poc icon cnn_hnn_comparison_analysis_poc

A comparison analysis between classical and quantum-classical (or hybrid) neural network and the impact effectiveness of a compound adversarial attack.

cyber_ops_analysis_tools_technique_poc icon cyber_ops_analysis_tools_technique_poc

A comprehensive mapping of the Cyber Kill Chain and MITRE ATT&CK frameworks to various tools and techniques commonly used in malware analysis, reverse engineering, and software exploitation analysis.

igave_toolkit_poc icon igave_toolkit_poc

The X-Force IGAVE Toolkit is a Python-based application that provides a visualization demonstration of various concepts related to innovation, market adoption, and emerging technologies.

ml_portfolio_poc icon ml_portfolio_poc

A portfolio of machine learning algorithms that are essential and commonly used.

opt_lru_cache_perf_poc icon opt_lru_cache_perf_poc

Cache replacement algorithms, including Least Recently Used (LRU), First In First Out (FIFO), and Enhanced Not Recently Used (ENRU).

quantinuum-hnn-compound-adv-attack-poc icon quantinuum-hnn-compound-adv-attack-poc

A quantum-classical (or hybrid) neural network and the use of a adversarial attack mechanism. The core libraries employed are Quantinuum pytket and pytket-qiskit. torchattacks is used for the white-box, targetted, compounded adversarial attacks.

quantum-circuit-logical-gates-poc icon quantum-circuit-logical-gates-poc

Demonstrates the implementation of various logical gates using quantum circuits. The code utilizes three popular quantum computing libraries: Cirq, PyQuil, and ProjectQ.

quantum-circuits-poc icon quantum-circuits-poc

Quantum image classification using quantum circuits and variational classifiers on a MNIST dataset.

simple_server_client_poc icon simple_server_client_poc

A demonstration of command and control communications with a simple server and client configuration for Google Co-Lab

win_entropy_packing_poc icon win_entropy_packing_poc

Assists in analyzing Windows executable files by calculating entropy, determining entropy levels, and detecting if the executable is packed.

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