In brief: With data breaches and ransomware attacks seemingly occurring weekly, Iowa state officials thought it would be an opportune time to have professionals test the security at government facilities around the state. So it hired cybersecurity firm Coalfire to conduct penetration testing (pen testing) on both infrastructure components like servers and physical building access. Then something else happened… In one of its tests back in September, two Coalfire employees found a door at the Dallas County Courthouse wide open. They entered the building and intentionally set off an alarm to test law enforcement response, which was part of the job. As per the company’s policy, the security workers waited for the police to show up to show them their paperwork proving they were hired to check the security of the building. Initially, the first deputies on the scene checked their documentation and said they were “good to go.” However, the local sheriff arrived within minutes and arrested them. The employees were charged with third-degree felony burglary and possession of burglary tools. They spent the night in jail, and Coalfire posted their excessive $100,000 bail the next day. The company and its workers expected the state to drop the charges quickly since it had a contract to do pen testing at the courthouse, but it has boiled in to what appears to be a dispute between jurisdictional officials. “Failing to de-escalate the issue and bring in State/County politics, Sheriff Leonard communicated in an email ‘that this building belonged to the taxpayers of Dallas County and the State had no authority to authorize a break-in.'” According to Coalfire, the incident...
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You have an idea, maybe a product, maybe a website, maybe an interesting service. Any of the above surely prompted you to start with a mobile application. A simple and obvious idea – but what’s next? You would probably want to know about the time scope and budget you will need to invest in the project, so you know whether the idea will pay off. This is where estimation comes into play. The cost of software development is always rigidly correlated with the estimation of the future project. It is very important to plan in detail how much one can afford, so as to not exceed one’s capabilities. Supported mobile platforms, technology, design, scope of features, chosen team – a project can be ready in 3 months or 3 years, so it is really important to think about every one of these things. Choose the platform Today, the choice is seemingly simple. The mobile world is dominated by two operating systems: Android and iOS. The time needed to create an application for both platforms simultaneously is nearly the same as developing just a single one. But when it comes to the cost – it is two times higher. If you are wondering which platform is cheaper to develop for – the answer is simple. The cost is the same for both. You need to think whether your business model allows you to create two applications at the same time. In the absence of such a possibility, it is possible to initially create an application for one platform and, when finances will allow, start with the second one. There is...
Not just the Kudankulam plant of the Nuclear Power Corporation of India Limited (NPCIL), the Indian Space Research Organisation (ISRO), too, was alerted of a possible breach by suspected malware, The Indian Express has learnt. On September 3, the National Cyber Coordination Centre, set up under a classified project “to generate necessary situational awareness of existing and potential cyber security threats and enable timely information sharing,” received intelligence from a US-based cybersecurity company that a “threat actor” had breached master “domain controllers” at the Kudankulam plant and at ISRO with a malware, later identified as a “Dtrack.” Sources said both NPCIL and ISRO were alerted on September 4. The breach at the Kudankulam plant became public on October 28 after some of the plant’s data showed up on virustotal.com, an online malware scanning service. How malware hits the system The malware targeting Kudankulam and ISRO in early September was identified as Dtrack. Designed to steal data, a Dtrack can give the “threat actor” complete control over all infected devices. In this case, it targeted domain controllers — the server computer that responds to security authentication requests. On October 29, Kudankulam Nuclear Power Project (KKNPP) said that no cyber-attack was possible on the plant’s standalone control system. The next day, however, NPCIL admitted there had been an infection “in the internet connected network used for administrative purposes” and that “the matter was immediately investigated by DAE specialists.” It added: “This (network) is isolated from the critical internal network. The networks are being continuously monitored. Investigation also confirms that the plant systems are not affected.” But there has been no word...
Google’s AutoML Back in May, Google revealed its AutoML project; artificial intelligence (AI) designed to help them create other AIs. Now, Google has announced that AutoML has beaten the human AI engineers at their own game by building machine-learning software that’s more efficient and powerful than the best human-designed systems. An AutoML system recently broke a record for categorizing images by their content, scoring 82 percent. While that’s a relatively simple task, AutoML also beat the human-built system at a more complex task integral to autonomous robots and augmented reality: marking the location of multiple objects in an image. For that task, AutoML scored 43 percent versus the human-built system’s 39 percent. These results are meaningful because even at Google, few people have the requisite expertise to build next generation AI systems. It takes a rarified skill set to automate this area, but once it is achieved, it will change the industry. “Today these are handcrafted by machine learning scientists and literally only a few thousands of scientists around the world can do this,”WIRED reports Google CEO Sundar Pichai said. “We want to enable hundreds of thousands of developers to be able to do it.” Image Credit: Google Much of metalearning is about imitating human neural networks and trying to feed more and more data through those networks. This isn’t — to use an old saw — rocket science. Rather, it’s a lot of plug and chug work that machines are actually well-suited to do once they’ve been trained. The hard part is imitating the brain structure in the first place, and at scales appropriate to take on more complex problems. The Future...
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