Rajasthan police to host 2-day Cyber Hackathon 1.0
The Cyber Hackathon 1.0 will take place on January 17-18 in Jaipur, where teams will work to break and prevent cyber attacks.
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Jaipur police. Representative image.
JAIPUR: The Rajasthan Police is hosting a two-day platform for youth and cyber security experts working in the field. They will discuss threat assessment, improving cyber security, policies, new technology, and continuous improvement. DG Cyber Crime Dr. Ravi Prakash Mehra and ADG Headquarters Sanjay Aggarwal provided this information.
Dr. Ravi Prakash Mehrada stated that protecting data from cyber threats is a major challenge. The Cyber Hackathon 1.0 will take place on January 17-18 in Jaipur, where teams will work to break and prevent cyber attacks.
The top three teams in the hackathon will have the opportunity to present their technology solutions to prevent future attacks. Winners will receive cash prizes and citations worth Rs 20 lakh.
Before the hackathon, there will be a drone show at Rajasthan Police Academy on January 16 at 5 pm with more than 300 drones flown by experts showcasing various technologies. Chief Minister Bhajanlal Sharma will be the chief guest.
Over 1600 participants from educational institutions, industries, research labs, and startups have registered for the Cyber Hackathon on January 17-18 at Rajasthan International Centre. Around 300 teams will participate in solving twelve cyber security problems during a marathon of thirty-six hours.
The top three teams’ solutions will be evaluated by an expert committee with rewards given accordingly. Cash prizes and citations worth Rs 20 lakh are up for grabs across various categories of winners who also get included in an internship program with the Rajasthan Police department.
During the Cyber Hackathon, cybersecurity experts will attempt to find solutions by discussing the 12 challenges of the future. They include:
- Developing a feedback system for the police.
- Training police in AI/AR (Artificial Intelligence/Augmented Reality).
- Enabling cameras to independently make decisions using Artificial Intelligence.
- Applying the correct act and sections in FIRs (First Information Reports) through AI and machine programming.
- Identifying fake websites, incoming ads, and customer care numbers.
- Developing a system for geo-tagging privately owned cameras.
- Creating software for analyzing financial fraud data.
- Using deep fake technology to find criminals.
- Further developing the 1930 helpline.
- Developing an anti-drone system.
- Monitoring data on the dark web.
- Investigating cryptocurrency transactions.
