Since their introduction, social network sites (SNSs) such as MySpace, Facebook, Cyworld, and Bebo have attracted millions of users, many of whom have integrated these sites into their daily practices. As of this writing, there are hundreds of SNSs, with various technological affordances, supporting a wide range of interests and practices. While their key technological features are fairly consistent, the cultures that emerge around SNSs are varied. Most sites support the maintenance of preexi...
Insecure software is undermining our financial, healthcare, defense, energy, and other critical infrastructure. As our software becomes increasingly complex, and connected, the difficulty of achieving application security increases exponentially. The rapid pace of modern software development processes makes the most common risks essential to discover and resolve quickly and accurately. We can no longer afford to tolerate relatively simple security problems like those presented in this OWASP T...
Threat modelling is an approach for anazlying the security of an application. It is a structured approach that enables you to identify, quantify and address the security risk with an application.
We need tools to facilitate research tasks • Some researchers need special tools indigenous to particular discipline • The concern here is with the general tools of research that the majority of researchers, regardless of discipline and situation, typically need to help carrying out research activities which finally derive meaningful and insightful conclusions from the research. • Be careful not to equate tools of research with the research methodology.
Abstract In the current age of the Fourth Industrial Revolution (4IR or Industry 4.0), the digital world has a wealth of data, such as Internet of Things (IoT) data, cybersecurity data, mobile data, business data, social media data, health data, etc. To intelligently analyze these data and develop the corresponding smart and automated applications, the knowledge of artifcial intelligence (AI), particularly, machine learning (ML) is the key. Various types of machine learning algorithms such ...
An Introduction to Deep Learning Building the Intuition How Do Deep Learning algorithms “learn”? So why is it called “Deep” Learning? Conclusions and Takeaways