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Dr. Amit S.

@singhamit1320

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Security Researcher, Auditor

$50 USD / Hour

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Flag of

India (11:47 AM)

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Joined on April 29, 2011

$50 USD / Hour

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Seasoned IT professional with over 10 years of experience in communication systems, cybersecurity and project management. Proven ability to lead and motivate geographically diverse teams to achieve success in complex and fast-paced environments. Skilled in safeguarding information through security audits, testing, and threat assessments. Expertise in designing, implementing, and operating secure networks and systems to ensure business continuity and data protection. Proven track record of managing projects from concept to completion, ensuring successful delivery of large-scale initiatives.

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Experience

Security Researcher

Sep, 2017 - Present

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8 years, 2 months

CERT

Sep, 2017 - Present

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8 years, 2 months

Malware Analysis, Vulnerability management, Incident response

Sep, 2017 - Present

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8 years, 2 months

Education

Jawaharlal Nehru Vishvavidyalaya

2015 - 2020

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5 years

Phd

Flag of

India

2015 - 2020

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5 years

Atal Bihari Vajpayee-IIITM

2012 - 2014

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2 years

MTech

Flag of

India

2012 - 2014

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2 years

Qualifications

Certified Cybersecurity Profesional

2022

ISC2

Certified in Cybersecurity

2022

Publications

Credit Card Fraud Detection under Extreme Imbalanced Data

Journal of Experimental & Theoretical Artificial Intelligence, Taylor and Francis

Credit card fraud is one of the biggest cybercrimes faced by users. Intelligent machine learning based fraudulent transaction detection systems are very effective in real-world scenarios. However, while designing these systems, machine learning approaches suffer from the problem of imbalanced data, i.e. imbalanced class distribution. Therefore, balancing the dataset becomes an imperative sub-task.

A secure and improved two factor authentication scheme using elliptic curve and bilinear pairing

Multimedia Tools and Applications, Springer

In order to equip the technical fraternity with smart technologies, the past few years have witnessed increasing usage of Cyber-Physical Systems (CPS) in different critical infrastructures. The abrupt surge in the advancement of CPS has brought in several cybersecurity issues. To address the issue of cybersecurity and to protect the CPS from attackers, authentication schemes have been designed and implemented.

Intrusion Detection System: A Comparative Study of Machine Learning-Based IDS

Journal of Database Management, IGI Global

The use of encrypted data, the diversity of new protocols, and the surge in the number of malicious activities worldwide have posed new challenges for intrusion detection systems (IDS). In this scenario, existing signature-based IDS are not performing well. Various researchers have proposed machine learning-based IDS to detect unknown malicious activities based on behaviour patterns.

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