Tag: ARTICLE
Code reuse is considered best practice in software engineering. Reusing high-quality, secure code can speed development processes and often results in higher-quality code than...
One attacker and hundreds of copycats looted the Nomad bridge for over $190 million; few did the right thing.
Decentralization is a hot-button topic in...
Proving knowledge of a secret is the basis of password-based authentication systems. The assumption is that only you know your password. If this is...
The $611M Poly Network exploit is the largest crypto hack to date in terms of mark-to-market value and all the stolen funds were returned,...
Getting to the bottom of the exploit that led to one of the biggest hacks in the history of decentralized finance.
In order to understand...
What Are Blockchains Layers 0, 1, and 2?
A blockchain is a complex, multi-layered system. Bitcoin, the original blockchain, maintained a distributed and decentralized digital...
As we edge closer to the Q-Day—the anticipated moment when quantum computers will be capable of breaking traditional cryptographic systems—the need for crypto-agility becomes increasingly critical. Crypto-agility is the capability of an organization to swiftly and efficiently transition between different cryptographic algorithms and protocols in response to emerging threats and technological advancements.
Text Classification Models are critical in a number of cybersecurity controls, particularly in mitigating risks associated with phishing emails and spam. However, the emergence of sophisticated perturbation attacks poses substantial threats, manipulating models into erroneous classifications and exposing inherent vulnerabilities. The explored mitigation strategies, including advanced detection techniques and defensive measures like adversarial training and input sanitization, are instrumental in defending against these attacks, preserving model integrity and accuracy.
A missing pile of Safemoon and other cryptocurrencies, accusations of broken promises, and then nothing.
When a high-profile cyber attack takes place and hundreds of...
In simplest terms, a multimodal model is a type of machine learning algorithm designed to process more than one type of data, be it text, images, audio, or even video. Traditional models often specialize in one form of data; for example, text models focus solely on textual information, while image recognition models zero in on visual data. In contrast, a multimodal model combines these specializations, allowing it to analyze and make predictions based on a diverse range of data inputs.
In recent years, many organizations have adopted more modern development practices, including Agile, Scrum, and DevOps. The goal of these new processes is to...
The biggest crypto heist in history at the time it occurred in 2018 was an eye-opener for many reasons, not least of which for...
Wallet Attacks: A Deep-dive
Wallets are a logical target for cyber-attacks, along with the emerging institutions that hold custody of them on users’ behalf. While...
Axie Infinity’s Ronin Bridge Hack for $551M worth of crypto assets could paradoxically lead to higher rates of blockchain adoption by showing that it’s...
Consensus Attacks: A Deep-dive
Where centralized systems operate on the basis of centralized permission, blockchain protocols proceed on the basis of decentralized consensus. While this...