Techiversy

In 2017, Lucas Apa and Cesar Cerrudo, security researchers at the consulting firm IOActive, showed that the version 2.5.5 of Pepper could be pirated via its software because of the vulnerabilities discovered when connecting to a network. They demonstrated that the robot could be controlled remotely, its manipulated members and its cameras used to spy on users. Yet, more than a year later, SoftBank did not correct the software, according to an analysis of its change logs by Mr. Apa. He told the FT that the Japanese conglomerate had told him he could not solve the problem. He said: “We were very disappointed with this response, but we understand that with any new technology, it is very difficult for manufacturers to get the attention or investment they need.” Hackers expose the frailty of robots SoftBank says that users have been asked to maintain the security of the Wi-Fi network and to correctly set the robot’s passwords. “We will continue to improve our security measures on ...

Enterprises need to know what they design about big data environments. For IT executives responsible for modernizing big data infrastructure and embracing cloud storage, the weekly rhythm of security news has become a recurring nightmare. For example, the genealogy website “MyHeritage” acknowledged that a security breach had led to the leak of email addresses and hashed passwords of more than 92 million users. In addition to self-inflicted breaches, big data leaders are increasingly concerned about regulatory compliance. The European Union’s General Data Protection Regulation (GDPR) is in effect, enterprises can face fines as much as 4 percent of their annual sales if they violate the data security regulations. Securing Big Data Infrastructure The task of modernizing big data storage and deploying new cloud-based solutions has never seemed more perilous. The fallout from a security breach or data leak can embroil a company legally and financially and burn its reputation with cu...

Global big data analytics in the healthcare market is gaining interest with the introduction of personalized healthcare systems and demand for high-quality healthcare services. With the adoption of big data, healthcare payers and suppliers increased their capabilities. They study the patient behavior in a particular treatment and the diagnostic patterns. This provides them customized and highly cost-effective services. Categorization of Healthcare Market: Based on the deployment type, big data analytics in the healthcare market is categorized into on-demand and on-premise. Of the two, the on-demand deployment generates a larger revenue compared to the on-premise software deployment. Based on the hardware, big data analytics within the healthcare market is categorized into data storage, routers, firewalls, virtual private network, e-mail servers, and others; others include data centers hardware and on-premise and on-cloud hardware. Data storage accounted for the biggest revenue ...