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IEEE Lafayette Section : Summer Digital Dialogues - Achieving Configuration Security Through Moving Target Defense
This talk explores how Moving Target Defense (MTD) can be used to achieve robust configuration security in modern systems. By continuously shifting system configurations and attack surfaces, MTD disrupts attacker reconnaissance and reduces the likelihood of successful exploits. The session will cover key MTD techniques, practical implementation strategies, and how to integrate them into existing security frameworks to enhance resilience and adaptability against evolving cyber threats.
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Dr. Shuvalaxmi Dass
ACHIEVING CONFIGURATION SECURITY THROUGH MOVING TARGET DEFENSE
Biography:
Dr. Dass is a CEH-certified interdisciplinary researcher with expertise in cybersecurity, evolutionary algorithms and machine learning. Dr. Dass is currently studying the impact of integrating different evolutionary algorithms with Reinforcement Learning in developing frameworks used for securing misconfigured software applications from attacks.
Dr. Dass currently serves as an assistant professor at the University of Louisiana at Lafayette (ULL). She has rich experience in teaching multiple computer science core courses at the undergraduate level previously as an assistant professor at the University of Nebraska at Kearney (UNK) and has experience in mentoring multiple CS undergraduates in research as well as was has provided significant service to the growth of the cyber systems department.
Dr. Dass holds a Ph.D. in Computer Science with a focus on Cybersecurity from Texas Tech University where she received the AT&T Fellowship Award 2012-17. She also holds a Master's in Software Engineering and a Bachelor's in Computer Science from Gautam Budha University, India.
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