According to a recent study, the number of suicide attempts in youth has doubled since 2008. Seasonal variation was also seen consistently across the period, with October accounting for nearly twice as many encounters as reported in July.Just over half of the encounters were children ages 15-17; another 37 percent were children ages 12-14; and 12.8 percent were children ages 5-11. Peaks for encounters among the groups were highest in the fall and spring, and lowest in the summer. Nearly two-thirds of those encounters were girls.The study has been published in the journal Pediatrics.In addition to looking at overall suicide ideation and attempt rates in school-age children and adolescents, the researchers analyzed the data Spring machine month-by-month and found seasonal trends in the encounters. childrens hospitals from 2008 to 2015.

While increases were seen across all age groups, they were highest among teens ages 15-17, followed by ages 12-14. "The growing impact of mental health issues in pediatrics on hospitals and clinics can longer be ignored," said Plemmons.Using data from the Pediatric Health Information System (PHIS), the researchers used billing codes to identify emergency department encounters, observation stays and inpatient hospitalizations tied to suicide ideation and attempts..S.The research looked at trends in emergency room and inpatient encounters for suicide ideation and attempts in children ages 5-17 years at U.During the study period, researchers at the Vanderbilt University Medical Center identified 115,856 encounters for suicide ideation and attempts in emergency departments at 31 childrens hospitals.Rates were lowest in summer, a season which has historically seen the highest numbers in adults, suggesting that youth may face increased stress and mental health challenges when school is in session. "To our knowledge, this is one of only a few studies to report higher rates of hospitalization for suicide during the academic school year," said study lead author Greg Plemmons.

The report analyses data from more than 14 trillion DNS queries collected by Akamai between September 2017 and February 2018 from communications service provider (CSP) networks around the world. The second model uses code embedded into content sites that make devices that visit the site work for the crypto miners.In late January 2018, Akamai’s SIRT and Nominum teams shared a list of over 500 suspicious Mirai C&C domains.e. LANs) and leaves computers open to significant attacks when exposed to the Internet. Terdot, China Spring forming machine Suppliers a branch of the Zeus botnet, creates a local proxy and enables attackers to perform cyber-espionage and promote fake news in the victim’s browser.Akamai Technologies announced the availability of the State of the Internet / Security: Carrier Insights Report for Spring 2018, which shows that sharing information is an important factor in helping to defend against cyber threats.Malware authors are branching out to the collection of social media logins in addition to financial information.This collaborative analysis suggested an evolution of IoT botnets, from a nearly exclusive use case of launching DDoS attacks to more sophisticated activities such as ransomware distribution and crypto-mining. This layered security approach involves gathering various security solutions to collectively protect an organisation’s data."

Tackling the Mirai Botnet: Collaboration in actionCollaboration between teams within Akamai played a crucial role in discovering Mirai command and control (C&C) domains to make future Mirai detection more comprehensive. Researchers have observed hackers leveraging old techniques to reuse in today’s current digital landscape. The first model uses infected devices’ processing power to mine cryptocurrency tokens. Over the six months that Akamai collected this data, a few prominent malware campaigns and exploits show notable changes in their operating procedure, including:The Web Proxy Auto-Discovery (WPAD) protocol was discovered in use to expose Windows systems to Man-in-the-Middle attacks between November 24 and December 14, 2017.Akamai observed two distinct business models for large-scale crypto-mining. Through several layers of analysis, the combined Akamai teams were able to augment the Mirai C&C dataset to discover a connection between Mirai botnets and distributors of the Petya ransomware. Akamai’s Carrier Insight Report builds upon the Nominum expertise and highlights the effectiveness of DNS-based security that is enriched with data coming from other security layers. The goal of this was to understand whether if by using DNS data and artificial intelligence, this list of C&C could be augmented, and make future Mirai detection more comprehensive. We believe that the DNS queries that our service provides act as a strategic component to arming security teams with the proper data necessary for that big picture view of the threat landscape. An interesting implication of this research shows that crypto mining could become a viable alternative to ad revenue to fund websites. Akamai conducted extensive analysis on this second business model, as it poses a new security challenge for users and website owners alike. The Akamai Security Intelligence and Response Team (SIRT) has been following Mirai since its inception, using honeypots to detect Mirai communications and identify its C&C servers.Javascript Cryptominers: A Shady business model.

The exponential rise in public consumption of cryptocurrency adoption has been reflected in a sharp, observable increase in the number of crypto-mining malware strains, and the number of devices infected with them. This mobile malware mainly targets Android devices and uses a modular approach that allows owners to create updates with new capabilities."Siloed understanding of attacks against individual systems isn’t enough for defenders to prepare for today’s complicated threat landscape," said Yuriy Yuzifovich, Director of Data Science, Threat Intelligence, Akamai.For more than 19 years, Nominum, acquired by Akamai in 2017, has leveraged in-depth DNS data to improve overall protection against sophisticated cyber attacks such as distributed denial of service (DDoS), ransomware, trojans, and botnets.The Lopai botnet is an example of how botnet authors are creating more flexible tools. IoT botnets are difficult to detect because there are very few indicators of compromise for most users—and yet, the collaborative research by these teams created the chance to find and block dozens of new C&C domains to control the activity of the botnet. After analysing the crypto miners domains, Akamai was able to estimate the cost, in terms of both computer power and monetary gains, from this activity.Changing Threats: Malware and exploits repurposedCybersecurity is not a static industry.