Search This Blog

Powered by Blogger.

Blog Archive

Labels

About Me

Showing posts with label Advanced Technology. Show all posts

Online Fraud Emerges as a Major Global Challenge

 


A vast and highly organized industry is known as online scams, which are characterized by intricate supply chains that include services, equipment, and labor. In recent years, cybercrime has gone beyond isolated criminal activities, but has developed into a highly sophisticated network with direct links to countries such as Russia, China, and North Korea. Originally considered a low-level fraud, it has now become a global and geopolitical concern with an increase in international activity. 

Even though cybersecurity measures have advanced significantly over the years, individuals remain the primary defense against financial losses resulting from online fraud. As cyber threats' volume and sophistication continue to increase, governments must take stronger actions to safeguard citizens, businesses, and institutions from the increasing risks posed by cybercriminal activities as they continue to grow. A critical national security issue of today is cybercrime, requiring the same level of attention as drug trafficking and terrorism financing. 

While efforts have been made to address these threats, most have been aimed at large-scale ransomware attacks targeting governments as well as essential services such as healthcare. These incidents, though high-profile, are only a fraction of what is happening on a much greater scale and with a much greater level of pervasiveness in the world today. It is difficult to estimate how much money is lost as a result of cybercrime, but the impact on society is unquestionably significant.

There is a need for a more comprehensive and coordinated approach to online fraud as it continues to grow on a global scale. In his speech, Droupadi Murmu pointed out that digital fraud, cybercrime, and deepfake technology pose a huge threat to social, financial, and national security and stressed that securing these threats is imperative. A government official reiterated the commitment of the government to strengthening cybersecurity measures, stating that these challenges were critical to the security framework of the nation. She stated to the joint session of Parliament that India had made significant progress in the digital domain and that it hoped to lead global innovation by 2025. 

As part of the India AI Mission, she mentioned that artificial intelligence is aimed at enhancing India's position in emerging technologies by advancing artificial intelligence. In addition, she said that India’s UPI system has been recognized across the world as having revolutionized digital transactions. To reinforce the government’s role in economic growth and national development, she highlighted the efforts of the government to use digital technology to promote social justice, financial inclusion, and transparency. 

She also highlighted initiatives aimed at enhancing financial stability, improving governance, and promoting inclusive growth, among other things. In terms of government schemes, she pointed out the PM-Kisan Samman Nidhi, which has disbursed Rs 41,000 crores to millions of farmers over the past few years, ensuring agricultural stability and rural development. In addition to addressing significant policy reforms, he also discussed ‘One Nation, One Election,’ a program that aims to synchronize elections nationwide, thereby enhancing political stability and reducing administrative costs. 

The Waqf Bill, which she discussed in detail, is intended to increase transparency and governance in the management of Waqf properties, and is being discussed. As artificial intelligence becomes more and more accessible and affordable, it becomes increasingly important for criminals to use these tools. These tools enable large-scale, high-value scams that are becoming harder and harder to detect and prevent. There has been a loss of US$26 million suffered by a Hong Kong-based company in 2024 as a result of the employee being tricked into transferring funds to fraudsters by using an artificial intelligence filter, on a video call, to pose as the chief financial officer of the company. The majority of the responsibility for combating scams has been borne by the banks.

The government has taken considerable measures to compensate victims as well as to implement warning systems and education programs, particularly in countries like the United Kingdom. To track and block fraudulent activities, financial institutions have urged internet and social media companies to cooperate in more ways. However, artificial intelligence and the proliferation of cryptocurrencies have added to the difficulty of detecting and preventing fraud, making them even more complex. 

As a result of the Google Threat Intelligence Group's recommendations, governments have been advised to strengthen education and awareness efforts to provide individuals with better defenses against cyber threats. Additionally, it has been suggested that banks and technology companies have more power to combat criminal networks directly in their way. To effectively address these threats, we must treat cybercrime with the same urgency as drug trafficking and terrorism. As a result, international intelligence must be shared, enforcement mechanisms must be enhanced, and financial transactions through banking networks and cryptocurrency exchanges should be strictly controlled. 

In the past couple of years, governments and security agencies have been slow in responding to the increasing fraud epidemic due mainly to the small scale of individual cases, which makes investigations seem ineffective. However, these smaller incidents collectively produce considerable profits for cybercriminals. According to UK Finance, one of the biggest trade associations in the UK, 82% of fraud cases involve amounts less than $1,000 ($1,260). However, they account for 12% of all financial losses. The total number of incidents involving fraud exceeding £100,000 constitutes less than 3% of all incidents; however, these cases account for nearly 60% of all frauds. 

It is important to note that, regardless of their varying scales, all fraudulent activities contribute to a growing and extremely profitable cybercrime industry, demonstrating the need to strengthen law enforcement, take preventive measures, and coordinate international efforts to reduce the risk of fraud. Currently, cybercrime is in an active state of evolution, with online fraud becoming an increasingly organized and lucrative industry. 

Criminal networks are often connected to geopolitical entities and leverage artificial intelligence and digital tools to carry out sophisticated scams, which makes preventing these scams even more difficult. Droupadi Murmu stressed the importance of cybersecurity advancements in India, highlighting the digital initiatives and financial reforms that have been initiated. Amid the rising threat of cybercrime, financial institutions have been calling for a greater collaborative effort between the technology sector and the financial sector to combat fraud. Because cybercrime poses a serious threat to national security, experts have been advocating for global cooperation, stricter regulatory oversight, and stronger cyber defenses.

The Upcoming Tech Revolution Foreseen by Sundar Pichai

 


It was at the 2025 World Government Summit in Dubai on 15th-17th November that Sundar Pichai, CEO of Google and its parent company Alphabet, engaged in a virtual fireside conversation with the Moroccan Minister of State for Artificial Intelligence, Digital Economy and Remote Work Applications, HE Omar Al Olama. In their discussion, they explored Google's AI-first approach, highlighting how the company has consistently embraced long-term investments in foundational technologies and that the company has stayed committed to it.

Additionally, the conversation highlighted Google's culture of innovation that is continuously driving innovation within the organization, as well as its future vision of artificial intelligence and digital transformation. 

 According to Sundar Pichai, three important areas of technology will shape the future of humanity, and quantum computing is poised to lead the way. Pichai highlighted the transformative potential of quantum computing by saying, "Quantum computing will push the boundaries of what technology can do." He also stressed the ability to tackle complex challenges in health care, security, and science. Pichai believes that quantum advancements could lead to a revolution in drug discovery, improve the development of electric vehicle batteries, and accelerate progress in alternatives to conventional power sources, such as fusion. He called quantum computing the next major paradigm shift, following the rise of artificial intelligence. 

In addition to showing the capabilities of Google's cutting-edge Willow quantum chip, Pichai also discussed Google's latest quantum computing breakthrough, highlighting the company's most recent quantum computing breakthrough. The Willow quantum chip, which is at the forefront of the quantum computing world, solved a computation in less than five minutes that would normally take ten septillion years on a classical computer. That’s a one followed by 25 zeros, longer than the universe itself has existed. 

Pichai added that artificial intelligence was another significant force in technological advancement, alongside quantum computing. The prediction he gave was that artificial intelligence would continue to develop, becoming more intelligent, more cost effective, and increasingly integrating into daily lives. According to him, artificial intelligence is set to keep improving, becoming cheaper, and becoming more useful in the years to come, emphasizing its potential to become a part of everyday lives. A number of groundbreaking technological advances have been introduced by Google in recent months, including the release of Gemini 2.0 and the imminent release of Gemini 2.0 Flash for developers in the Gemini app by the end of the year. 

As for developments in artificial intelligence, there is a high probability that these developments will be showcased at the upcoming Google I/O conference, which should be held sometime in May, where the event is expected to take place. Additionally, Google has begun testing a new feature within Search Labs, called "Daily Listen," in addition to these artificial intelligence innovations. This personalized podcast experience curates and delivers news and topics tailored to the interests of the individual user, which improves engagement with relevant content. 

In December, Google announced that Gemini 2.0 Flash would become generally available for developers by January of next year. As part of this rollout, it is expected that the “Experimental” label will be removed from Gemini 2.0 Flash within the Gemini application. In addition, there is an increasing amount of anticipation surrounding "2.0 Experimental Advanced" which will be available to paid subscribers, and we expect more details on what it has to offer upon its official release. 

Google is continuing to expand its artificial intelligence-driven offering with NotebookLM Plus that is expected to be available for Google One subscribers beginning in early 2025. It is also expected that Gemini 2.0 will be integrated into other Google products, including AI Overviews in Search, in the coming months. This timeframe is aligned with the anticipated Google I/O event, traditional to be held in early May, when more Google products are expected to be integrated. 

Sundar Pichai, the CEO of Google, recently shared his views with employees regarding the urgency of the current technological environment, pointing out how technology has rapidly advanced and how Google can reimagine its products and processes for the next era, thanks to the rapid pace of innovation. Besides acknowledging the challenges faced by employees affected by the devastating wildfires in Southern California, he also noted the difficulties facing the company as a whole. 

As Pichai highlighted earlier this month, 2025 is going to be a pivotal year for Google, and he urged employees to increase their efforts in artificial intelligence development and regulatory compliance. Despite the increasing level of competition in artificial intelligence and the increasing level of regulatory scrutiny that surrounds it, he stressed the importance of ensuring the company stays on top of innovation while navigating a dynamic policy environment.

Researchers at University of Crete Developes Uncrackable Optical Encryption

 

An optical encryption technique developed by researchers at the Foundation for Research and Technology Hellas (FORTH) and the University of Crete in Greece is claimed to provide an exceptionally high level of security. 

According to Optica, the system decodes the complex spatial information in the scrambled images by retrieving intricately jumbled information from a hologram using trained neural networks.

“From rapidly evolving digital currencies to governance, healthcare, communications and social networks, the demand for robust protection systems to combat digital fraud continues to grow," stated project leader Stelios Tzortzakis.

"Our new system achieves an exceptional level of encryption by utilizing a neural network to generate the decryption key, which can only be created by the owner of the encryption system.”

Optical encryption secures data at the network's optical transport level, avoiding slowing down the overall system with additional hardware at the non-optical levels. This strategy may make it easier to establish authentication procedures at both ends of the transfer to verify data integrity. 

The researchers investigated whether ultrashort laser filaments travelling in a highly nonlinear and turbulent medium might transfer optical information, such as a target's shape, that had been encoded in holograms of those shapes. The researchers claim that this renders the original data totally scrambled and unretrievable by any physical modelling or experimental method. 

Data scrambled by passage via ethanol liquid 

A femtosecond laser was used in the experimental setup to pass through a prepared hologram and into a cuvette that contained liquid ethanol. A CCD sensor recorded the optical data, which appeared as a highly scrambled and disorganised image due to laser filamentation and thermally generated turbulence in the liquid. 

"The challenge was figuring out how to decrypt the information," said Tzortzakis. “We came up with the idea of training neural networks to recognize the incredibly fine details of the scrambled light patterns. By creating billions of complex connections, or synapses, within the neural networks, we were able to reconstruct the original light beam shapes.”

In trials, the method was used to encrypt and decrypt thousands of handwritten digits and reference forms. After optimising the experimental approach and training the neural network, the encoded images were properly retrieved 90 to 95 percent of the time, with additional improvements potential with more thorough neural network training. 

The team is now working on ways to use a less expensive and bulkier laser system, as a necessary step towards commercialising the approach for a variety of potential industrial encryption uses

“Our study provides a strong foundation for many applications, especially cryptography and secure wireless optical communication, paving the way for next-generation telecommunication technologies," concluded Tzortzakis.

The Future of Payment Authentication: How Biometrics Are Revolutionizing Transactions

 



As business operates at an unprecedented pace, consumers are demanding quick, simple, and secure payment options. The future of payment authentication is here — and it’s centered around biometrics. Biometric payment companies are set to join established players in the credit card industry, revolutionizing the payment process. Biometric technology not only offers advanced security but also enables seamless, rapid transactions.

In today’s world, technologies like voice recognition and fingerprint sensors are often viewed as intrusions in the payment ecosystem. However, in the broader context of fintech’s evolution, fingerprint payments represent a significant advancement in payment processing.

Just 70 years ago, plastic credit and debit cards didn’t exist. The introduction of these cards drastically transformed retail shopping behaviors. The earliest credit card lacked a magnetic strip or EMV chip and captured information using carbon copy paper through embossed numbers.

In 1950, Frank McNamara, after repeatedly forgetting his wallet, introduced the first "modern" credit card—the Diners Club Card. McNamara paid off his balance monthly, and at that time, he was one of only three people with a credit card. Security wasn’t a major concern, as credit card fraud wasn’t prevalent. Today, according to the Consumer Financial Protection Bureau’s 2023 credit card report, over 190 million adults in the U.S. own a credit card.

Biometric payment systems identify users and authorize fund deductions based on physical characteristics. Fingerprint payments are a common form of biometric authentication. This typically involves two-factor authentication, where a finger scan replaces the card swipe, and the user enters their personal identification number (PIN) as usual.

Biometric technology verifies identity using biological traits such as facial recognition, fingerprints, or iris scans. These methods enhance two-step authentication, offering heightened security. Airports, hospitals, and law enforcement agencies have widely adopted this technology for identity verification.

Beyond security, biometrics are now integral to unlocking smartphones, laptops, and secure apps. During the authentication process, devices create a secure template of biometric data, such as a fingerprint, for future verification. This data is stored safely on the device, ensuring accurate and private access control.

By 2026, global digital payment transactions are expected to reach $10 trillion, significantly driven by contactless payments, according to Juniper Research. Mobile wallets like Google Pay and Apple Pay are gaining popularity worldwide, with 48% of businesses now accepting mobile wallet payments.

India exemplifies this shift with its Unified Payments Interface (UPI), processing over 8 billion transactions monthly as of 2023. This demonstrates the country’s full embrace of digital payment technologies.

The Role of Governments and Businesses in Cashless Economies

Globally, governments and businesses are collaborating to offer cashless payment options, promoting convenience and interoperability. Initially, biometric applications were limited to high-security areas and law enforcement. Technologies like DNA analysis and fingerprint scanning reduced uncertainties in criminal investigations and helped verify authorized individuals in sensitive environments.

These early applications proved biometrics' precision and security. However, the idea of using biometrics for consumer payments was once limited to futuristic visions due to high costs and slow data processing capabilities.

Technological advancements and improved hardware have transformed the biometrics landscape. Today, biometrics are integrated into everyday devices like smartphones, making the technology more consumer-centric and accessible.

Privacy and Security Concerns

Despite its benefits, the rise of biometric payment systems has sparked privacy and security debates. Fingerprint scanning, traditionally linked to law enforcement, raises concerns about potential misuse of biometric data. Many fear that government agencies might gain unauthorized access to sensitive information.

Biometric payment providers, however, clarify that they do not store actual fingerprints. Instead, they capture precise measurements of a fingerprint's unique features and convert this into encrypted data for identity verification. This ensures that the original fingerprint isn't directly used in the verification process.

Yet, the security of biometric systems ultimately depends on robust databases and secure transaction mechanisms. Like any system handling sensitive data, protecting this information is paramount.

Biometric payment systems are redefining the future of financial transactions by offering unmatched security and convenience. As technology advances and adoption grows, addressing privacy concerns and ensuring data security will be critical for the widespread success of biometric authentication in the payment industry.

Windows 11’s Recall feature is Now Ready For Release, Microsoft Claims

 

Microsoft has released an update regarding the Recall feature in Windows 11, which has been on hold for some time owing to security and privacy concerns. The document also details when Microsoft intends to move forward with the feature and roll it out to Copilot+ PCs. 

Microsoft said in a statement that the intention is to launch Recall on CoPilot+ laptops in November, with a number of protections in place to ensure that the feature is safe enough, as explained in a separate blog post. So, what are these measures supposed to appease the critics of Recall - a supercharged AI-powered search in Windows 11 that uses regular screenshots ('snapshots' as Microsoft calls them) of the activity on your PC - as it was originally intended? 

One of the most significant changes is that, as Microsoft had previously informed us, Recall will only be available with permission, rather than being enabled by default as it was when the function was first introduced. 

“During the set-up experience for Copilot+ PCs, users are given a clear option whether to opt-in to saving snapshots using Recall. If a user doesn’t proactively choose to turn it on, it will be off, and snapshots will not be taken or saved,” Microsoft noted. 

Additionally, as Microsoft has stated, snapshots and other Recall-related data would be fully permitted, and Windows Hello login will be required to access the service. In other words, you'll need to check in through Hello to prove that you're the one using Recall (not someone else on your PC). 

Furthermore, Recall will use a secure environment known as a Virtualization-based Security Enclave, or VBS Enclave, which is a fully secure virtual computer isolated from the Windows 11 system that can only be accessed by the user via a decryption key (given with the Windows Hello sign-in).

David Weston, who wrote Microsoft’s blog post and is VP of Enterprise and OS Security, explained to Windows Central: “All of the sensitive Recall processes, so screenshots, screenshot processing, vector database, are now in a VBS Enclave. We basically took Recall and put it in a virtual machine [VM], so even administrative users are not able to interact in that VM or run any code or see any data.”

Similarly, Microsoft cannot access your Recall data. And, as the software giant has already stated, all of this data is stored locally on your machine; none of it is sent to the cloud. This is why Recall is only available on Copilot+ PCs - it requires a strong NPU for acceleration and local processing to function properly. 

Finally, Microsoft addresses a previous issue about Recall storing images of, say, your online banking site and perhaps sensitive financial information - the tool now filters out things like passwords and credit card numbers.

How AI and Machine Learning Are Revolutionizing Cybersecurity

 

The landscape of cybersecurity has drastically evolved over the past decade, driven by increasingly sophisticated and costly cyberattacks. As more businesses shift online, they face growing threats, creating a higher demand for innovative cybersecurity solutions. The rise of AI and machine learning is reshaping the cybersecurity industry, offering powerful tools to combat these modern challenges. 

AI and machine learning, once seen as futuristic technologies, are now integral to cybersecurity. By processing vast amounts of data and identifying patterns at incredible speeds, these technologies surpass human capabilities, providing a new level of protection. Traditional cybersecurity methods relied heavily on human expertise and signature-based detection, which were effective in the past. However, with the increasing complexity of cybercrime, AI offers a significant advantage by enabling faster and more accurate threat detection and response. Machine learning is the engine driving AI-powered cybersecurity solutions. 

By feeding large datasets into algorithms, machine learning models can uncover hidden patterns and predict potential threats. This ability allows AI to detect unknown risks and anticipate future attacks, significantly enhancing the effectiveness of cybersecurity measures. AI-powered systems can mimic human thought processes to some extent, enabling them to learn from experience, adapt to new challenges, and make real-time decisions. These systems can block malicious traffic, quarantine files, and even take independent actions to counteract threats, all without human intervention. By analyzing vast amounts of data rapidly, AI can identify patterns and predict potential cyberattacks. This proactive approach allows security teams to defend against threats before they escalate, reducing the risk of damage. 

Additionally, AI can automate incident response, acting swiftly to detect breaches and contain damage, often faster than any human could. AI also plays a crucial role in hunting down zero-day threats, which are previously unknown vulnerabilities that attackers can exploit before they are patched. By analyzing data for anomalies, AI can identify these vulnerabilities early, allowing security teams to address them before they are exploited. 

Moreover, AI enhances cloud security by analyzing data to detect threats and vulnerabilities, ensuring that businesses can safely transition to cloud-based systems. The integration of AI in various cybersecurity tools, such as Security Orchestration, Automation, and Response (SOAR) platforms and endpoint protection solutions, is a testament to its potential. With AI’s ability to detect and respond to threats faster and more accurately than ever before, the future of cybersecurity looks promising.

Sitting Ducks DNS Attack Hijack 35,000 Domains

 

Cybersecurity researchers have uncovered a significant threat affecting the internet's Domain Name System (DNS) infrastructure, known as the "Sitting Ducks" attack. This sophisticated method allows cybercriminals to hijack domains without needing access to the owner's account at the DNS provider or registrar. 

Researchers from DNS security firm Infoblox and hardware protection company Eclypsium revealed that more than one million domains are vulnerable to this attack daily. This has resulted in over 35,000 confirmed domain hijackings, primarily due to poor domain verification practices by DNS providers. The Sitting Ducks attack exploits misconfigurations at the registrar level and insufficient ownership verification. Attackers leverage these vulnerabilities to take control of domains through "lame" delegations, making the hijacking process more effective and harder to detect. 

Once in control, these hijacked domains are used for malware distribution, phishing, brand impersonation, and data theft. Russian threat actors have been particularly active, with twelve known cyber-gangs using this method since 2018 to seize at least 35,000 domains. These attackers often view weak DNS providers as "domain lending libraries," rotating control of compromised domains every 30-60 days to avoid detection. 

The Sitting Ducks attack has been exploited by several cybercriminal groups. "Spammy Bear" hijacked GoDaddy domains in late 2018 for spam campaigns. "Vacant Viper" began using Sitting Ducks in December 2019, hijacking 2,500 domains yearly for the 404TDS system to distribute the IcedID malware and set up command and control (C2) domains. "VexTrio Viper" started using the attack in early 2020, employing the hijacked domains in a massive traffic distribution system (TDS) that supports the SocGholish and ClearFake operations. 

Additionally, several smaller and unknown actors have used Sitting Ducks to create TDS, spam distribution, and phishing networks. Despite the Sitting Ducks attack being reported in 2016, the vulnerability remains largely unresolved. This highlights the critical yet often neglected aspect of DNS security within broader cybersecurity efforts. 

To effectively combat this pressing cybersecurity threat, a collaborative effort is essential involving domain holders, DNS providers, registrars, regulatory bodies, and the broader cybersecurity community. Infoblox and Eclypsium are playing a crucial role by partnering with law enforcement agencies and national Computer Emergency Response Teams (CERTs) to mitigate and diminish the impact of this critical security issue.

Enhancing Home Security with Advanced Technology

 

With global tensions on the rise, ensuring your home security system is up to par is a wise decision. Advances in science and technology have provided a variety of effective options, with even more innovations on the horizon.

Smart Speakers

Smart speakers like Amazon Echo, Google Nest, and Apple HomePod utilize advanced natural language processing (NLP) to understand and process human language. They also employ machine learning algorithms to recognize occupants and detect potential intruders. This voice recognition feature reduces the likelihood of system tampering.

Smart Cameras
Smart cameras offer an even higher level of security. These devices use facial recognition technology to control access to your home and can detect suspicious activities on your property. In response to threats, they can automatically lock doors and alert authorities. These advancements are driven by ongoing research in neural networks and artificial intelligence, which continue to evolve.

Smart Locks
Smart locks, such as those by Schlage, employ advanced encryption methods to prevent unauthorized entry while enhancing convenience for homeowners. These locks can be operated via smartphone and support multiple access codes for family members. The field of cryptography ensures that digital keys and communications between the lock and smartphone remain secure, with rapid advancements in this area.

Future Trends in Smart Home Security Technology

Biometric Security
Biometric technologies, including facial recognition and fingerprint identification, are expected to gain popularity as their accuracy improves. These methods provide a higher level of security compared to traditional keys or passcodes.

Blockchain for Security
Blockchain technology is gaining traction for its potential to enhance the security of smart devices. By decentralizing control and creating immutable records of all interactions, blockchain can prevent unauthorized access and tampering.

Edge Computing
Edge computing processes data locally, at the source, which significantly boosts speed and scalability. This approach makes it more challenging for hackers to steal data and is also more environmentally friendly.

By integrating these advanced technologies, you can significantly enhance the security and convenience of your home, ensuring a safer environment amid uncertain times.