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Don’t get hacked; protect your WhatsApp account

08 October 2020 Photo Istock

Whatsapp security — It is important to be safe when using WhatsApp. Do not leave your phone unattended when you are not close by.

There are 2 billion WhatsApp users in the world, and 1,6 billion WhatsApp users access their accounts on a daily basis.

However, it is important to also be safe when using this popular communication tool.

According to Cobus van Jaarsveld, Assistant Director: Threat Detection, Investigations and Liaison in Protection Services, it does happen that people’s WhatsApp accounts get hacked; this is a serious violation of privacy.

“It means a third party now has unlimited access to your personal chats, information, media – and in some instances, they can also masquerade as you by deleting your chats, replying to your chats, and committing crimes. That’s just the tip of the iceberg of how harmful it can be to get hacked,” says Van Jaarsveld.

He adds: “Hackers can access your WhatsApp data by various means, e.g. via WhatsApp web or registering your number on another device.

The South African Police Service (SAPS) provided the following tips to prevent one’s WhatsApp from getting hacked:

• Log out from all computers that you see in the list under WhatsApp Web. This will stop hackers from further reading your chats. However, this should be done every time you use WhatsApp web.
• Do not leave your phone unattended when you are out.
• Lock all your apps to prevent unknown people from accessing your apps.
• Do not connect your phone to unknown Wi-Fi connections, as hackers can also use the unique MAC address to access all your WhatsApp chats.
• In case your WhatsApp has already been hacked, deactivate your account by emailing support@whatsapp.com. Your account will be automatically deleted if not accessed for 30 days.
• Enable two-step verification under your WhatsApp account settings. This will add an extra layer of security to the app.
• Lock WhatsApp. It is imperative to have the AppLocker that will help you lock your WhatsApp. While WhatsApp does not offer this application per se, you can download it and the app will facilitate the use of your WhatsApp with a password or PIN. This will help to prevent anyone who has access to your phone from accessing your WhatsApp account, since they will require a password to open it.

News Archive

Death may come in adorable little packages

2015-03-23

The main host of the Lassa virus is the Natal Mulimammate mouse.

Photo: Supplied

Postdoctoral researcher, Abdon Atangana, of the Institute for Groundwater Studies at the university recently published an article online about the Lassa Haemorrhagic fever in the Natural Computing Applications Forum. In addition to the terminal transmissible sickness recognised as Ebola haemorrhagic fever, there is another strain called Lassa haemorrhagic fever.

The disease is classified under the arenaviridae virus family. The first outbreaks of the disease were observed in Nigeria, Liberia, Sierra Leone, and the Central African Republic. However, it was first described in 1969 in the town of Lassa, in Borno State, Nigeria.

The main host of the Lassa virus is the Natal Mulimammate mouse, an animal indigenous to most of Sub-Saharan Africa. The contamination in humans characteristically takes place through exposure to animal excrement through the respiratory or gastrointestinal tracts.

Mouthfuls of air containing tiny particle of infective material are understood to be the most noteworthy way of exposure. It is also possible to acquire the infection through broken skin or mucous membranes that are directly exposed to the infective material.

“The aim of my research was to propose a novel mathematical equation used to describe the spread of the illness amongst pregnant women in West Africa. To achieve this, I used my newly-proposed derivative with fractional order called beta-derivative. Since none of the commonly used integral transform could be used to derive the solution of the proposed model, I proposed a new integral transform called Atangana-Transform, and used it, together with some iterative technique, to derive the solution of the model.

“My numerical simulations show that the disease is as deadly amongst pregnant women as Ebola,” Abdon said.

Abdon’s research was submitted to one of Springer’s top-tier journals with an impact factor 1.78. The paper was accepted and published February 2015.