As healthcare systems increasingly rely on advanced wireless networks and connected devices, ensuring the security of medical applications has become a critical concern. The integration of Internet of Medical Things (IoMT) devices with real - time health monitoring and care delivery has revolutionized patient care but has also introduced new security vulnerabilities. Each connected device, whether it is a part of a robotic surgical arm, intensive care equipment, or a wearable health monitor, serves as a poten tial entry point for cyberattacks. Such vulnerabilities could lead to life threatening consequences like poorly performed surgeries, malfunctioning of life support systems or incorrect treatment due to data breache s . The ITU IMT - 2030 framework envisions that 6G will be transforming healthcare through massive connectivity, AI, and cloud integration. However, it may also introduce new security vulnerabilities that can threaten the patient safety and privacy. Therefore, a ddressing these threats requires a thor ough reassessment of security measures . This paper presents an innovative use of explainable AI (XAI) techniques - such as SHAP, LIME, and DiCE - to identify vulnerabilities, strengthen security measures, and enhance both security and transparency within the 6G healthcare ecosystem, ensuring robust protection and trust . In addition to the theoretical background, this paper presents experimental analysis and the authors very positive findings.

The metaverse has gained significant attention from various industries due to its potential to create a fully immersive and interactive virtual world. However, the integration of deepfakes in the metaverse brings serious security implications, particularly with regard to impersonation. This paper examines the security implications of deepfakes in the metaverse, specifically in the context of gaming, online meetings, and virtual offices. The paper discusses how deepfakes can be used to impersonate in gaming scenarios, how online meetings in the metaverse open the door for impersonation, and how virtual offices in the metaverse lack physical authentication, making it easier for attackers to impersonate someone. The implications of these security concerns are discussed in relation to the confidentiality, integrity, and availability (CIA) triad. The paper further explores related issues such as the darkverse, and digital cloning, as well as regulatory and privacy concerns associated with addressing security threats in the virtual world.

In today's digital world, it is more important than ever to ensure that your data is protected especially with the rise of machine learning also known as artificial intelligence (AI). Machine learning is a popular technology topic as it's becoming a part of our daily lives and can potentially have powerful implications for good and evil. In case you are not familiar with the terms machine learning or artificial intelligence, it is having the ability to train a computer to do something and learn over time so down the road it can infer what to do when faced with a basic task. Just a few examples of common consumer facing artificial intelligence machines are Apple's Siri, Google Assistant and Amazon's Alexa. With these machines learning our habits and likes/dislikes overtime, we are able to make our daily lives easier whether it's getting an answer to a question, directions to a local store or restaurant recommendations.

On 11 April 2019, Daniel Fiott was invited by the EU's Political and Security Committee (PSC) to participate in a lunch debate on Artificial intelligence (AI). The event was part of the PSC's initiative to enhance dialogue with think tanks, NGOS and academia on key challenges for EU foreign, security and defence policy. The event brought together PSC Ambassadors, as well as representatives from the European Commission and the European External Action Service. Daniel joined experts from the Centre for the Study of Existential Risk (CSAR) at the University of Cambridge and Tilburg University, and he outlined recent AI developments and implications for the defence sector, with a particular focus on the EU and AI developments in Russia, China and the United States. The legal challenges and ethical dilemmas of AI were also discussed.

Essentially, no one wants suffocating regulations and laws, yet a line has to be drawn somewhere. Where exactly that should be? Well, the debate is only just starting. Clark reckoned policymakers are "slightly concerned about AI, but not generally not aware of its rate of progress." He hoped to see more people hosting more workshops, where scientists, engineers, those advising lawmakers, and other experts, can raise their concerns. "This is the beginning of a dialogue on this topic, not the end," Brundage added.

Costing £3.1billion and weighing 65,000 tonnes, she's Britain's biggest and most advanced warship ever built. But HMS Queen Elizabeth has been outmanoevred by a £300 drone which landed on the deck completely unchallenged. The drone pilot, who wanted to remain anonymous, made the daring flight while the aircraft carrier was docked at Invergordon, Scotland in July. He flew over the carrier before touching down on the four-acre deck and then taking off again unchecked. Princess Diana's driver: Her death'stirred things within me' The flight may now be discussed in Scotland's Parliament by MSPs concerned about security flaws.

As Washington fiddles, China is investing billions in U.S. startups with cutting-edge products that could have military applications at the same time it is dialing back investments in less critical American industries such as entertainment. A New York Times story this week says that among the startups are companies working on artificial intelligence for military robots, rocket engines, ship sensors and printers that could produce high-tech components such as computer screens for military jets. Many of the firms making such investments are owned by companies controlled by the Chinese government or connected to its leaders. A blog post last December on the website of CB Insights, which tracks startup investments, says that China poured $9.9 billion into new Silicon Valley firms in 2015 and made an additional $3.5 billion in tech investments in the first nine months of last year. The number and size of those tech investments in startups developing military applications were not broken out.

Military delegates arrive at the Great Hall of the People for a meeting ahead of Saturday's opening ceremony of the National People's Congress (NPC), in Beijing, China March 4, 2016. As Washington fiddles, China is investing billions in U.S. startups with cutting-edge products that could have military applications at the same time it is dialing back investments in less critical American industries such as entertainment. A New York Times story this week says that among the startups are companies working on artificial intelligence for military robots, rocket engines, ship sensors and printers that could produce high-tech components such as computer screens for military jets. Many of the firms making such investments are owned by companies controlled by the Chinese government or connected to its leaders. A blog post last December on the website of CB Insights, which tracks startup investments, says that China poured $9.9 billion into new Silicon Valley firms in 2015 and made an additional $3.5 billion in tech investments in the first nine months of last year.

As Washington fiddles, China is investing billions in U.S. startups with cutting-edge products that could have military applications at the same time it is dialing back investments in less critical American industries such as entertainment. A New York Times story this week says that among the startups are companies working on artificial intelligence for military robots, rocket engines, ship sensors and printers that could produce high-tech components such as computer screens for military jets. Many of the firms making such investments are owned by companies controlled by the Chinese government or connected to its leaders. A blog post last December on the website of CB Insights, which tracks startup investments, says that China poured $9.9 billion into new Silicon Valley firms in 2015 and made an additional $3.5 billion in tech investments in the first nine months of last year. The number and size of those tech investments in startups developing military applications were not broken out.

A lot of exciting new technologies are emerging or maturing that will likely play an increasingly important role in our lives and help transform businesses and industries in the coming months and years. "Emerging technologies may have differing cyber security concerns than traditional IT systems, especially if they have components that impact the physical world, such as autonomous vehicles and smart medical devices," said Dan Klinedinst, senior vulnerability analyst in the CERT Division of the Software Engineering Institute at Carnegie Mellon University. "Because of this we plan to examine a dozen technologies that we expect to show emerging impacts on everyday life in 2017 and into the future," Klinedinst said. Autonomous cars - There are now autonomous cars already driving passengers on the road, so the autonomy element is becoming more of a factor because life and personal safety are now part of the risk. Commercial autonomous aerial vehicles - Most commercial drones are operated by pilots or fly on a predetermined path.