Quasisynchronization of Reaction–Diffusion Neural Networks Under Deception Attacks

Node Survival in Networks under Correlated Attacks

We study the interplay between correlations, dynamics, and networks for repeated attacks on a socio-economic network. As a model system we consider an insurance scheme against disasters that randomly hit nodes, where a node in need receives support from its network neighbors. The model is motivated by gift giving among the Maasai called Osotua. Survival of nodes under different disaster scenari...

Identifying Telecommunication Deception using Neural Networks through Data Mining

rodbar dam slope stability analysis using neural networks

در این تحقیق شبکه عصبی مصنوعی برای پیش بینی مقادیر ضریب اطمینان و فاکتور ایمنی بحرانی سدهای خاکی ناهمگن ضمن در نظر گرفتن تاثیر نیروی اینرسی زلزله ارائه شده است. ورودی های مدل شامل ارتفاع سد و زاویه شیب بالا دست، ضریب زلزله، ارتفاع آب، پارامترهای مقاومتی هسته و پوسته و خروجی های آن شامل ضریب اطمینان می شود. مهمترین پارامتر مورد نظر در تحلیل پایداری شیب، بدست آوردن فاکتور ایمنی است. در این تحقیق ...

Android UI Deception Revisited: Attacks and Defenses

App-based deception attacks are increasingly a problem on mobile devices and they are used to steal passwords, credit card numbers, text messages, etc. Current versions of Android are susceptible to these attacks. Recently, Bianchi et al. proposed a novel solution “What the App is That” that included a host-based system to identify apps to users via a security indicator and help assure them tha...

Detecting Targeted Attacks by Multilayer Deception

Over the past few years, enterprises are facing a growing number of highly customized and targeted attacks that use sophisticated techniques and seek after important company assets, such as customer data and intellectual property. Unlike conventional attacks, targeted attacks are operated by experts who use multiple steps to gain access to sensitive assets, and most of time, leave very few netw...