As the US launches a cyberattack against Iranian weapons systems and escalates their infiltration of the Russian power grid in the same month, it's clear a new chapter of warfare is well and truly underway. Fueled by the same complex mix of diplomatic breakdowns, economic sanctions and historical grievances as regular conflicts, cyberwarfare is the new threat facing developing nations. The crisis faced by every technologically advanced state is highlighted in the World Economic Forum's Global Risks Report 2019 which ranked cyberattacks as the 5th global risk of our time. The US is certainly not alone in developing a cyberwarfare arsenal, as preemptive strikes, espionage and counter-attacks all require nations to develop cybersecurity defenses and demonstrate their clout. Here, we know exactly what the digital battleground looks like, and the attempts nations can take to develop defenses against the latest cyberwarfare threats.

The attack comes after Iran exceeded their enriched uranium stockpile limit in the nuclear deal. An Iranian official responded Sunday after U.S. Secretary of State Mike Pompeo pointed at the nation's government in Tehran following Saturday's drone attacks on Saudi Arabia oil facilities. "The Americans adopted the'maximum pressure' policy against Iran, which, due to its failure, is leaning towards'maximum lies'," Iranian Foreign Ministry spokesman Abbas Mousavi said, according to the Associated Press. On Saturday, Pompeo charged that Iran's government in Tehran ordered "nearly 100 attacks" on a Saudi refinery and oilfield, further alleging that Iranian President Hassan Rouhani and Foreign Minister Mohammad Zarif pretending "to engage in diplomacy." On Sunday, Mousavi dismissed Pompeo's remarks as "blind and futile comments."

The world is going digital at an unprecedentedly fast pace, and the change is only going to go even faster. The digitalization means everything is moving at lightning speed – business, entertainment, trends, new products, etc. The consumer gets what he or she wants instantly because the service provider has the means to deliver it. While the conveniences and benefits of this digital era are many, it also brings with it several negatives. One of the most significant and destructive threats it poses is that our private information is at risk like never before.

WASHINGTON – U.S. Secretary of State Mike Pompeo on Saturday accused Iran of leading attacks on Saudi oil plants that cut the kingdom's output roughly in half, ruling out Yemeni involvement and denouncing Tehran for false diplomacy. Yemen's Iran-aligned Houthi group claimed credit for Saturday's attacks on two plants at the heart of Saudi Arabia's oil industry, including the world's biggest petroleum processing facility. Pompeo, however, said on Twitter that there was no evidence the attacks came from Yemen. "Tehran is behind nearly 100 attacks on Saudi Arabia while Rouhani and Zarif pretend to engage in diplomacy," Pompeo said, referring to Iran's President Hassan Rouhani and Foreign Minister Mohammed Javad Zarif. "Amid all the calls for de-escalation, Iran has now launched an unprecedented attack on the world's energy supply," he added.

In 2013 Edward Snowden made explosive revelations about the scope and depth of internet surveillance carried out by the United States and its allies, that confirmed what had up until that point been some rather wild conspiracy theories. His decision to publish, with the help of several global media outlets, a large number of confidential documents was a rather dramatic attempt of raising public awareness – a task that may or may not have been accomplished. But it was also a move that polarized opinions in his own country, and one that has cost him dearly: he has become one of the figures that Breitbart refers to as "western dissidents." Snowden now lives in exile in Russia, and has lately become more present in the media thanks to the fact he is promoting his memoir. And when this whistleblower shares his opinion on some of the most controversial issues pertaining to the tech industry, people tend to listen.

Edward Snowden has finally laid it all out - documenting his memoires in a new 432-page book, Permanent Record, which will be published worldwide on Tuesday, September 17. Meeting with both The Guardian and Spiegel Online in Moscow as part of its promotion, the infamous whistleblower spent nearly five hours with the two media outlets - offering a taste of what's in the book, details on his background, and his thoughts on artificial intelligence, facial recognition, and other intelligence gathering tools coming to a dystopia near you. While The Guardian interview is'okay,' scroll down for the far more interesting Spiegel interview, where Snowden goes way deeper into his cloak-and-dagger life, including thoughts on getting suicided. Snowden describes in detail for the first time his background, and what led him to leak details of the secret programmes being run by the US National Security Agency (NSA) and the UK's secret communication headquarters, GCHQ. He describes the 18 years since the September 11 attacks as "a litany of American destruction by way of American self-destruction, with the promulgation of secret policies, secret laws, secret courts and secret wars".

Rajarajeshwari Kodhandapani has a dream – to screen one million people for diabetic retinopathy (DR) so they can get timely treatment and not risk going blind. She is one of the four co-founders of Artelus, along with tech veterans Vish Durga, Lalit Pant, and Pradeep Walia, who is also a serial entrepreneur. As a former business analyst, she never thought she would become an entrepreneur (though she did want to become a politician at one time). Now, she is part of Artelus, a company that builds advanced screening tools to allow doctors and hospitals to diagnose a greater number of patients in the same time for a variety of diseases. Today, she wants to reach the people they call the "forgotten billion" – those in rural areas who cannot afford healthcare.

The self-driving freight truck startup TuSimple has been carrying mail across the state of Arizona for several weeks. UPS announced on Thursday that its venture capital arm has made a minority investment in TuSimple. The announcement also revealed that since May TuSimple autonomous trucks have been hauling UPS loads on a 115-mile route between Phoenix and Tucson. UPS confirmed to Gizmodo this is the first time UPS has announced it has been using TuSimple autonomous trucks to deliver packages in the state. Around the same time as the UPS and TuSimple program began, the United States Postal Service and TuSimple publicized a two-week pilot program to deliver mail between Phoenix and Dallas, a 1,000 mile trip.

Drone attacks claimed by Yemen's Houthi rebels struck two key oil installations inside Saudi Arabia on Saturday, damaging facilities that process the vast majority of the country's crude output and raising the risk of a disruption in world oil supplies. The attacks immediately escalated tensions in the Persian Gulf amid a standoff between the United States and Iran, even as key questions remained unanswered -- where the drones were launched from, and how the Houthis managed to hit facilities deep in Saudi territory, some 500 miles from Yemeni soil. Secretary of State Mike Pompeo accused Iran of being behind what he called "an unprecedented attack on the world's energy supply" and asserted that there was "no evidence the attacks came from Yemen." He did not, however, specify an alternative launch site, and the Saudis themselves refrained from pointing the finger directly at Iran. President Trump condemned the attack in a phone call with Saudi Crown Prince Mohammed bin Salman and offered support for "Saudi Arabia's self defense," the White House said in a statement, adding that the United States "remains committed to ensuring global oil markets are stable and well supplied."

Deep neural networks (DNNs) are notorious for their vulnerability to adversarial attacks, which are small perturbations added to their input images to mislead their prediction. Detection of adversarial examples is, therefore, a fundamental requirement for robust classification frameworks. In this work, we present a method for detecting such adversarial attacks, which is suitable for any pre-trained neural network classifier. We use influence functions to measure the impact of every training sample on the validation set data. From the influence scores, we find the most supportive training samples for any given validation example. A k-nearest neighbor (k-NN) model fitted on the DNN's activation layers is employed to search for the ranking of these supporting training samples. We observe that these samples are highly correlated with the nearest neighbors of the normal inputs, while this correlation is much weaker for adversarial inputs. We train an adversarial detector using the k-NN ranks and distances and show that it successfully distinguishes adversarial examples, getting state-of-the-art results on four attack methods with three datasets.