#Fact Old image of Hindu Priest with Donald trump at White house goes viral as recent.

The World Wide Web was created as a portal for communication, to connect people from far away, and while it started with electronic mail, mail moved to instant messaging, which let people have conversations and interact with each other from afar in real-time. But now, the new paradigm is the Internet of Things and how machines can communicate with one another. Now one can use a wearable gadget that can unlock the front door upon arrival at home and can message the air conditioner so that it switches on. This is IoT.

WHAT EXACTLY IS IoT?

The term ‘Internet of Things’ was coined in 1999 by Kevin Ashton, a computer scientist who put Radio Frequency Identification (RFID) chips on products in order to track them in the supply chain, while he worked at Proctor & Gamble (P&G). And after the launch of the iPhone in 2007, there were already more connected devices than people on the planet.

Fast forward to today and we live in a more connected world than ever. So much so that even our handheld devices and household appliances can now connect and communicate through a vast network that has been built so that data can be transferred and received between devices. There are currently more IoT devices than users in the world and according to the WEF’s report on State of the Connected World, by 2025 there will be more than 40 billion such devices that will record data so it can be analyzed.

IoT finds use in many parts of our lives. It has helped businesses streamline their operations, reduce costs, and improve productivity. IoT also helped during the Covid-19 pandemic, with devices that could help with contact tracing and wearables that could be used for health monitoring. All of these devices are able to gather, store and share data so that it can be analyzed. The information is gathered according to rules set by the people who build these systems.

APPLICATION OF IoT

IoT is used by both consumers and the industry.

Some of the widely used examples of CIoT (Consumer IoT) are wearables like health and fitness trackers, smart rings with near-field communication (NFC), and smartwatches. Smartwatches gather a lot of personal data. Smart clothing, with sensors on it, can monitor the wearer’s vital signs. There are even smart jewelry, which can monitor sleeping patterns and also stress levels.

With the advent of virtual and augmented reality, the gaming industry can now make the experience even more immersive and engrossing. Smart glasses and headsets are used, along with armbands fitted with sensors that can detect the movement of arms and replicate the movement in the game.

At home, there are smart TVs, security cameras, smart bulbs, home control devices, and other IoT-enabled ‘smart’ appliances like coffee makers, that can be turned on through an app, or at a particular time in the morning so that it acts as an alarm. There are also voice-command assistants like Alexa and Siri, and these work with software written by manufacturers that can understand simple instructions.

Industrial IoT (IIoT) mainly uses connected machines for the purposes of synchronization, efficiency, and cost-cutting. For example, smart factories gather and analyze data as the work is being done. Sensors are also used in agriculture to check soil moisture levels, and these then automatically run the irrigation system without the need for human intervention.

Statistics

• The IoT device market is poised to reach $1.4 trillion by 2027, according to Fortune Business Insight.
• The number of cellular IoT connections is expected to reach 3.5 billion by 2023. (Forbes)
• The amount of data generated by IoT devices is expected to reach 73.1 ZB (zettabytes) by 2025.
• 94% of retailers agree that the benefits of implementing IoT outweigh the risk.
• 55% of companies believe that 3^rd party IoT providers should have to comply with IoT security and privacy regulations.
• 53% of all users acknowledge that wearable devices will be vulnerable to data breaches, viruses,
• Companies could invest up to 15 trillion dollars in IoT by 2025 (Gigabit)

CONCERNS AND SOLUTIONS

• Two of the biggest concerns with IoT devices are the privacy of users and the devices being secure in order to prevent attacks by bad actors. This makes knowledge of how these things work absolutely imperative.
• It is worth noting that these devices all work with a central hub, like a smartphone. This means that it pairs with the smartphone through an app and acts as a gateway, which could compromise the smartphone as well if a hacker were to target that IoT device.
• With technology like smart television sets that have cameras and microphones, the major concern is that hackers could hack and take over the functioning of the television as these are not adequately secured by the manufacturer.
• A hacker could control the camera and cyberstalk the victim, and therefore it is very important to become familiar with the features of a device and ensure that it is well protected from any unauthorized usage. Even simple things, like keeping the camera covered when it is not being used.
• There is also the concern that since IoT devices gather and share data without human intervention, they could be transmitting data that the user does not want to share. This is true of health trackers. Users who wear heart and blood pressure monitors have their data sent to the insurance company, who may then decide to raise the premium on their life insurance based on the data they get.
• IoT devices often keep functioning as normal even if they have been compromised. Most devices do not log an attack or alert the user, and changes like higher power or bandwidth usage go unnoticed after the attack. It is therefore very important to make sure the device is properly protected.
• It is also important to keep the software of the device updated as vulnerabilities are found in the code and fixes are provided by the manufacturer. Some IoT devices, however, lack the capability to be patched and are therefore permanently ‘at risk’.

CONCLUSION

Humanity inhabits this world that is made up of all these nodes that talk to each other and get things done. Users can harmonize their devices so that everything runs like a tandem bike – completely in sync with all other parts. But while we make use of all the benefits, it is also very important that one understands what they are using, how it is functioning, and how one can tackle issues should they come up. This is also important to understand because once people get used to IoT, it will be that much more difficult to give up the comfort and ease that these systems provide, and therefore it would make more sense to be prepared for any eventuality. A lot of times, good and sensible usage alone can keep devices safe and services intact. But users should be aware of any issues because forewarned is forearmed.

Introduction

Iran stands as a nation poised at the threshold of a transformative era. The Islamic Republic, a land of ancient civilisations now grappling with the exigencies of the 21st century, is now making strides in the emerging field of artificial intelligence (AI). This is not merely an adoption of new tools; it is a strategic embrace, a calculated leap into the digital unknown, where the potential for economic growth and security enhancement resonates with the promise of a redefined future.

Embarking on this technological odyssey, Iranian President Ebrahim Raisi, in a conclave with the nation’s virtual business activists, delineated the ‘big steps’ being undertaken in the realm of AI. The gathering, as reported by the pro-government Tasnim News, was not a simple exchange of polite remarks but a profound discourse that offered an incisive overview of the burgeoning digital economy and the strides Iran is making in the AI landscape. The conversation deeply revolved around the current ecosystem of technology and innovation within Iran, delving into the burgeoning startup culture and the commendable drive within its youth populace to propel the nation to the forefront of technology.

Iranian AI Integration

Military Implications

The discourse ranged from the current technological infrastructure to the broader implications for the security and defense of the region. The Iranian polity, with its rich history that seamlessly blends with aspirations for the future, is acutely aware that the implications of AI reach far beyond mere economic growth. They extend into the very fibres of military might and the structure of national security. The investment in cyber capabilities in Iran is well-documented, a display of shrewdness and pragmatism. And the integration of AI technologies is the next logical step in an ever-evolving defense architecture. Brigadier General Alireza Sabahifard, Commander of the Iranian Army Air Defense Force, has underscored the pivotal role of AI in modern warfare. He identifies the ongoing adoption of AI technologies as a strategic imperative, a top priority fundamentally designed to elevate the air defense capabilities in Iran to meet 21st-century threats.

Economic Implications

Yet, the Iranian pursuit of AI is not solely confined to bolstering military prowess. It is also pervasive in nurturing economic opportunity. President Raisi’s rhetoric touches upon economic rejuvenation, job creation, and the proliferation of financial and legal support mechanisms, all blurred into a cohesive vision that would foster a suitable environment for the private sector in the AI domain. The ambition is grand and strikingly clear — a nation committed to training several thousand individuals in the digital economy sector, signaling a deep-rooted commitment to cultivating a healthy environment  for AI-driven innovation.

The Iranian leader’s vision extends beyond the simple creation of infrastructure. It extends to the fostering of a healthy, competitive, and peaceful social milieu where domestic and international markets are within easy reach, promoting the prosperity of the digital economy and its activists. Such a vision of technological symbiosis, in many Western democracies, would be labelled as audaciously progressive. In Iran, however, withdrawing a major chunk of economic investments from the country's security state adds layers of complexity and nuance to this transformative narrative.

Cultural Integration

Still, Iran’s ambitious AI journey unfolds with a recognition of its cultural underpinnings and societal structure. The Nexus between the private sector, with its cyber-technocratic visionaries, and the regime, with its omnipresent ties to the Islamic Revolutionary Guard Corps, is a tightrope that requires unparalleled poise and vigilance.

Moreover, in the holy city of Qom, a hub of intellectual fervour and the domicile of half of Iran's 200,000 Shia clerics, there burgeons a captivating interest in the possible synergies between AI and theological study. The clerical establishment, hidden within a stronghold of religious scholarship, perceives AI not as a problem but as a potential solution, a harbinger of progress that could ally with tradition. It sees in AI the potential of parsing Islamic texts with newfound precision, thereby allowing religious rulings, or fatwas, to resonate with the everchanging   Iranian society. This integration of technology is a testament to the dynamic interplay between tradition and modernity.

Yet the integration of AI into the venerable traditions of societies such as Iran's is threaded with challenges. Herein lays the paradox, for as AI is poised to potentially bolster religious study, the threat of cultural dissolution remains present. AI, if not judiciously designed with local values and ethics in mind, could inadvertently propagate an ideology at odds with local customs, beliefs, and the cornerstone principles of a society.

Natural Resources

Similarly, Iran's strategic foray into AI extends into its sovereign dominion—the charge of its natural resources. As Mehr News Agency reports, the National Iranian Oil Company (NIOC) is on the cusp of pioneering a joint venture with international tech juggernauts, chiefly Chinese companies, to inject the lifeblood of AI into the heart of its oil and gas production processes. This grand undertaking is nothing short of a digital renaissance aimed at achieving 'great reforms’ and driving a drastic 20% improvement in efficiency. AI’s algorithmic potency, unleashed in the hydrocarbon fields, promises to streamline expenses, enhance efficacy, and maximise production outputs, thereby bolstering Iran's economic bulwark.

The AI way Forward

As we delve further into Iran's sophisticated AI strategy, we observe an approach that is both vibrant and multi-dimensional. From military development to religious tutelage, from the diligent charge of the environment to the pursuit of sustainable economic development, Iran's AI ventures are emblematic of the broader global discourse. They mark a vivid intersection of AI governance, security, and the future of technological enterprise, highlighting the evolution of technological adoption and its societal, ethical, and geopolitical repercussions.

Conclusion

The multifaceted nature of Iran's AI pursuits encapsulates a spectrum of strategic imperatives, bringing the spearheads of defense modernisation and religious academics with the imperatives of resource allocation. It reflects a nuanced approach to the adoption and integration of technology, adjudicating between the venerable pillars of traditional values and the inexorable forces of modernisation. As Iran continues to delineate and traverse its path through the burgeoning landscape of AI, attending global stakeholders, watch with renewed interest and measured apprehension. Mindful of the intricate geopolitical implications and the transformative potential inherent in Iran's burgeoning AI endeavours, the global community watches, waits, and wonders at what may emerge from this ancient civilisation’s bold, resolute strides into the future.

References

- https://www.fdd.org/analysis/op_eds/2024/03/17/irans-president-wants-new-focus-on-artificial-intelligence/

- https://www.jpost.com/middle-east/article-792391

- https://www.ft.com/content/9c1c3fd3-4aea-40ab-977b-24fe5527300c

- https://www.foxnews.com/world/iran-looks-ai-weather-western-sanctions-help-military-fight-cheap

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Introduction

Advanced deepfake technology blurs the line between authentic and fake. To ascertain the credibility of the content it has become important to differentiate between genuine and manipulated or curated online content highly shared on social media platforms. AI-generated fake voice clone, videos are proliferating on the Internet and social media. There is the use of sophisticated AI algorithms that help manipulate or generate synthetic multimedia content such as audio, video and images. As a result, it has become increasingly difficult to differentiate between genuine, altered, or fake multimedia content. McAfee Corp., a well-known or popular global leader in online protection, has recently launched an AI-powered deepfake audio detection technology under Project “Mockingbird” intending to safeguard consumers against the surging threat of fabricated or AI-generated audio or voice clones to dupe people for money or unauthorisly obtaining their personal information. McAfee Corp. announced its AI-powered deepfake audio detection technology, known as Project Mockingbird, at the Consumer Electronics Show, 2024.

What is voice cloning?

To create a voice clone of anyone's, audio can be deeplyfaked, too, which closely resembles a real voice but, in actuality, is a fake voice created through deepfake technology. 

Emerging Threats: Cybercriminal Exploitation of Artificial Intelligence in Identity Fraud, Voice Cloning, and Hacking Acceleration

AI is used for all kinds of things from smart tech to robotics and gaming. Cybercriminals are misusing artificial intelligence for rather nefarious reasons including voice cloning to commit cyber fraud activities. Artificial intelligence can be used to manipulate the lips of an individual so it looks like they're saying something different, it could also be used for identity fraud to make it possible to impersonate someone for a remote verification for your bank and it also makes traditional hacking more convenient. Cybercriminals have been misusing advanced technologies such as artificial intelligence, which has led to an increase in the speed and volume of cyber attacks, and that's been the theme in recent times.

Technical Analysis

To combat Audio cloning fraudulent activities, McAfee Labs has developed a robust AI model that precisely detects artificially generated audio used in videos or otherwise.

• Context-Based Recognition: Contextual assessment is used by technological devices to examine audio components in the overall setting of an audio. It improves the model's capacity to recognise discrepancies suggestive of artificial intelligence-generated audio by evaluating its surroundings information.
• Conductual Examination: Psychological detection techniques examine linguistic habits and subtleties, concentrating on departures from typical individual behaviour. Examining speech patterns, tempo, and pronunciation enables the model to identify artificially or synthetically produced material.
• Classification Models: Auditory components are categorised by categorisation algorithms for detection according to established traits of human communication. The technology differentiates between real and artificial intelligence-synthesized voices by comparing them against an extensive library of legitimate human speech features.
• Accuracy Outcomes: McAfee Labs' deepfake voice recognition solution, which boasts an impressive ninety per cent success rate, is based on a combined approach incorporating psychological, context-specific, and categorised identification models. Through examining audio components in the larger video context and examining speech characteristics, such as intonation, rhythm, and pronunciation, the system can identify discrepancies that could be signs of artificial intelligence-produced audio. Categorical models make an additional contribution by classifying audio information according to characteristics of known human speech. This all-encompassing strategy is essential for precisely recognising and reducing the risks connected to AI-generated audio data, offering a strong barrier against the growing danger of deepfake situations.
• Application Instances: The technique protects against various harmful programs, such as celebrity voice-cloning fraud and misleading content about important subjects.

Conclusion

It is important to foster ethical and responsible consumption of technology. Awareness of common uses of artificial intelligence is a first step toward broader public engagement with debates about the appropriate role and boundaries for AI. Project Mockingbird by Macafee employs AI-driven deepfake audio detection to safeguard against cyber criminals who are using fabricated AI-generated audio for scams and manipulating the public image of notable figures, protecting consumers from financial and personal information risks. 

References:

• https://www.cnbctv18.com/technology/mcafee-deepfake-audio-detection-technology-against-rise-in-ai-generated-misinformation-18740471.htm
• https://www.thehindubusinessline.com/info-tech/mcafee-unveils-advanced-deepfake-audio-detection-technology/article67718951.ece
• https://lifestyle.livemint.com/smart-living/innovation/ces-2024-mcafee-ai-technology-audio-project-mockingbird-111704714835601.html
• https://news.abplive.com/fact-check/audio-deepfakes-adding-to-cacophony-of-online-misinformation-abpp-1654724