The keynote lecture “Introduction to attack vectors and solutions” gives 13 pillars to be followed to prevent attack vectors. It belongs to Module 2a “Cybersecurity Awareness” of C1b3rWall Academy 2021.

This talk is given by Pablo Fernández Burgueño, professor and lawyer of counsel at PwC Tax and Legal, specialized in New Technologies and Entertainment Law, and especially in blockchain, cybersecurity and law applied to business models based on the use of smart contracts, DAO, ICO and tokens. He founded Abanlex, one of the law firms that introduced the legal use of bitcoin and ethereum in Europe. He is also a founding partner of NevTrace, the blockchain lab developer of prototypes presented to National Police, Guardia Civil and Europol.

Secure passwords 

The use of passwords may eventually become obsolete thanks to biometric data. However, for now, our system is based on passwords that must be robust. We must bear in mind that there are keyloggers, i.e., computer applications that extract the keys we have entered, a system that criminals take advantage of.

We can put layers of security thanks to the two-factor authentication (2FA), which is achieved, for example, thanks to a key generator that we can have in the cell phone so that the user has to enter another factor to authenticate beyond their username or account.  Since it is necessary to have strong passwords, changing them from time to time is helpful. There are reliable password managers such as Dashlane, KeePass, Google Chrome Passwords, Dropbox Password Manager, etc. for saving passwords.

The consequences of cybercriminals knowing your password are that your accounts and linked services may be accessed, accounts may be synced, or third-party data accessed and downloaded for use in the future.

You can read the full article on News-365.

Don’t miss the opportunity to enroll in C1b3rWall Academy 2021 for free to learn more about fraud techniques and defense systems. If you are interested in this topic, you can consult the information and take the Master’s Degree in Cybersecurity or view the range of Master’s Degree courses here.

Posted by Juan M. Corchado

Juan Manuel Corchado (15 de Mayo de 1971, Salamanca, España) Catedrático en la Universidad de Salamanca. Ha sido Vicerrector de Investigación desde el 2013 hasta el 2017 y Director del Parque Científico de la Universidad de Salamanca. Elegido dos veces como Decano de la Facultad de Ciencias, es Doctor en Ciencias de la Computación por la Universidad de Salamanca y, además, es Doctor en Inteligencia Artificial por la University of the West of Scotland. Dirige el Grupo de Investigación Reconocido BISITE (Bioinformática, Sistemas Inteligentes y Tecnología Educativa), creado en el año 2000. Director del IOT Digital Innovation Hub y presidente del AIR Institute, J. M. Corchado también es Profesor Visitante en el Instituto Tecnológico de Osaka desde enero de 2015, Profesor visitante en la Universiti Malaysia Kelantan y Miembro del Advisory Group on Online Terrorist Propaganda of the European Counter Terrorism Centre (EUROPOL). J. M. Corchado ha sido presidente de la asociación IEEE Systems, Man and Cybernetics, y coordinador académico del Instituto Universitario de Investigación en Arte y Tecnología de la Animación de la Universidad de Salamanca e investigador en las Universidades de Paisley (UK), Vigo (Spain) y en el Plymouth Marine Laboratory (UK). En la actualidad compagina toda su actividad con la dirección de los programas de Máster en Seguridad, Animación Digital, Telefonía Movil, Dirección de Sistemas de Información, Internet de las Cosas, Social Media, Diseño e Impresión 3D, Blockchain, Z System, Industria 4.0, Gestión de Proyectos Ágiles y Smart Cities & Intelligent Buildings​, en la Universidad de Salamanca y su trabajo como editor jefe de las revistas ADCAIJ (Advances in Distributed Computing and Artificial Intelligence Journal), OJCST (Oriental Journal of Computer Science and Technology) o Electronics MDPI (Computer Science & Engineering section). J. M. Corchado desarrolla principalmente trabajos en proyectos relacionados con Inteligencia Artificial, Machine Learning, Blockchain, IoT, Fog Computing, Edge Computing, Smart Cities, Smart Grids y Análisis de sentimiento.