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Windows 8 Phone along with its many features allows its users to connect to the people with comfort. Among these features, Rooms is the one worth to mention. You can hoard people from your contacts to include them in a group. This group called room

It is always said that prevention is better than cure. By using KeepmyID, you can save yourself from being a victim. Prevent and protect your ID from theft before it's too late.

his article explains why supplying data to researchers is set to become a profitable line of business for entities that hold large stores of health data in electronic form. Health information systems are a form of infrastructure, and Congress's cost-based fee for data preparation and transmission echoes pricing schemes traditionally used in other infrastructure industries such as railroads, electric power transmission, and telecommunications. Cost-based fees for infrastructure services, of constitutional necessity, must allow recovery of operating and capital costs including a return on invested capital-in other words, a profit margin.  This fee structure is being launched in an emerging 21st-century research landscape where biomedical discovery will depend more than it has in the past on studies that harness existing stores of data-such as insurance claims and healthcare data-that were created for purposes other than the research itself. This article explores why, in this environment, the new fee structure has the potential to destabilize already-fragile public trust and invite state-law responses that could override key provisions of federal privacy regulations, with devastating consequences for researchers' future access to data. To avoid this outcome, the cost-based fee must be thoughtfully implemented and accompanied by reform of the HIPAA waiver provision now used to approve nonconsensual use of people's health data in research. This article identifies specific defects of the existing framework for approving nonconsensual uses of data with the aim of eliciting a wider debate about what the reforms ought to be.

Just what it says. Good advice for any Facebook participant.

In this screencast we're going to look at some features we are working on for the next version of netifera. The two main things we're going to demonstrate are geographical visualization and the netifera probe which is a deployable software agent that makes it possible to run all netifera platform tools remotely as easily as running them locally.

Phoenix Labs' premier IP blocker for Windows.Integrates support for multiple lists, list editing, automatic updates, and blocking all of IPv4 (TCP, UDP, ICMP, etc), making it the safest and easiest way to protect your privacy on P2P.

"The sudden takedown of an Internet provider thought to be helping spread one of the most promiscuous pieces of malicious software out there appears to have cut off criminals from potentially millions of personal computers under their control. But the victory was short-lived. Less than a day after a service known as "AS Troyak" was unplugged from the Internet, security researchers said Wednesday it apparently had found a way to get back online, and criminals were reconnecting with their unmoored machines. "

After a rather long day, night and morning of studying the news, researching and hunting the #WannaCry ransomware worm there are some discoveries to be shared.. This includes Host and Network IOCs, their analysis obtained with help of fellow security researchers and practitioners, review of C2 infrastructure and its interactions with Tor. Last but not least are some free SIEM use cases. What else should a security practitioner know for their handling of WannaCry?

Data poisoning is a type of adversarial attack where attackers tamper with the data used to train machine learning models. Unlike prompt injection or evasion attacks, it targets the model before deployment. The attacker adds misleading or harmful data to the training set to change how the model behaves.

An adversarial attack happens when someone gives a machine learning model misleading input to fool it. These inputs are referred to as adversarial examples. They look entirely normal to the human eye. But they are specifically designed to mislead the AI.

computer forensic resources specific to ediscovery; EnCase Certification Experience