MUMBAI, India, April 20 -- Intellectual Property India has published a patent application (202441078386 A) filed by St. Martin's Engineering College, Secunderabad, Telangana, on Oct. 15, 2024, for 'cyber crime and security.'
Inventor(s) include Suresh Talwar; Dursheti Arun; Gangula Vandana; Darapu Hemanth; Dindi Manoj Sagar; Yeddi Manisha Reddy; Md Tinku; Enugula Abhinaya; Geedipally Manisha; Pilli Manaswini; Kottapalli Sri Krishna Chaitanya Varma; Gadamanpalley Sathwika; Cheruku Divya; Gujjula Sindhu; Kothakonda Saivardhan; Ganta Uma Maheshwari; Eleti Ankitha; Vartia Nitin; and Kontham Sai Sri Harsha.
The application for the patent was published on April 17, under issue no. 16/2026.
According to the abstract released by the Intellectual Property India: "The global reliance on digital technology has surged, so too has the threat of cybercrime. This malicious activity encompasses a range of offenses, from financial fraud and data breaches to ransomware attacks and online harassment. The inception of cybercrime can be traced back to the early days of the internet, evolving alongside technological advancements. The need for robust cybersecurity measures has become paramount in safeguarding individuals, businesses, and governments against the pervasive and ever-evolving threat of cybercrime. With the exponential growth of online transactions, sensitive data, and critical infrastructure, the potential impact of cyberattacks has escalated dramatically. Cybercrime poses a multifaceted challenge, encompassing not only the technical intricacies of hacking and malware, but also legal, ethical, and socio-economic dimensions. It involves identifying, preventing, and responding to a wide array of cyber threats, including those targeting individuals' privacy, financial assets, and national security. Traditional cybersecurity relied heavily on firewalls, antivirus software, and intrusion detection systems. While these measures provided a baseline of protection, they were often reactive and struggled to keep pace with rapidly evolving cyber threats. Furthermore, they lacked the capacity for nuanced threat analysis and real-time response. With the advancement of technology, the landscape of cybersecurity has shifted towards more sophisticated solutions. This includes machine learning algorithms for anomaly detection, blockchain for secure transactions, and threat intelligence platforms for proactive defense. Additionally, the integration of artificial intelligence and machine learning has enabled predictive threat modeling, bolstering the capacity to anticipate and mitigate emerging cyber threats. These advanced solutions represent a paradigm shift in cybersecurity, offering a more proactive, adaptive, and effective approach to combating cybercrime and ensuring digital security on a global scale."
Disclaimer: Curated by HT Syndication.
