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Quantum Vulnerabilities in Today’s Cryptography
A Historical Perspective and a Forward-Looking Defense Strategy For decades, modern cryptography has relied on mathematical problems assumed to be computationally infeasible for classical computers. Algorithms like RSA, Diffie-Hellman, and Elliptic Curve Cryptography (ECC) derive their security from the hardness of factoring large integers or solving discrete logarithms. This design has worked because no…
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Physics vs Code: Why Google’s “Quantum Money” Challenges the Blockchain Paradigm
For the past decade, trust on the internet has been built on code. Cryptocurrencies, blockchains, and zero-knowledge proofs all rely on the hardness of certain mathematical problems. If you can’t solve them, you can’t cheat. But this foundation has a weakness: it assumes computing power grows slowly and predictably. Quantum computing breaks that assumption.…
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Memory Manipulation at the Assembly Level: The Dangerous Art of Reverse Engineering
Manipulating memory at the assembly level is where software stops being abstract and becomes physical — registers, stacks, heaps, and raw bytes. For those who work there, it’s intoxicating: you can watch high-level behavior collapse into a handful of instructions, discover why a crash happens, or understand exactly how a program enforces (or fails…
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Advanced Persistent Threats (APT) on Mobile and Network Systems
Advanced Persistent Threats (APTs) represent the highest tier of targeted cyberattacks: long-term, strategic intrusions executed by highly skilled adversaries, often state-sponsored groups or well-funded criminal organizations. Their goal is simple: remain inside a system for as long as possible while silently gathering intelligence, manipulating assets, or preparing for strategic disruption. Unlike common malware or…
