Research endeavors Florida Institute for National Security (FINS) include #InverseReinforcementLearning (IRL), a #collaborative research topic, using a #MachineLearning paradigm that records #HumanBehavior in #SimulatedEnvironments, to design algorithms to understand #HumanComputerInteractions. #get2knowfins_uf https://lnkd.in/ezNpYkwn
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Full-Professor and Scientist @ Recod.ai, University of Campinas, LinkedIn Top Voice in Artificial Intelligence
In this month, we are launching the IEEE Security & Privacy Special Issue on #SyntheticRealities and #ArtificialIntelligence-Generated Contents! In this edition, we delve into the topic of #syntheticrealities, where #generative #artificialintelligence (#GAI) is revolutionizing the construction of narratives, blurring the boundaries between fact and fiction, for the good and the bad. Indeed, content created or enabled by GAI spans a wide spectrum of usage and intentions, from fostering positive experiences, such as entertainment, training, and education, to more questionable utilization, such as #deception, #propaganda, #manipulation, and #fakenews. Curious? Take a look at the Special Issue we carefully prepared to you! I would like to thank my co-editors Sébastien Marcel from Idiap Research Institute and Daniel Moreira from Loyola University Chicago for the amazing join work. I'm very much grarefull to all authors who contributed with amazing articles to this Special Issue! I hope you all enjou the readings! [Introduction] https://lnkd.in/e2rqK8J7 [Articles] https://lnkd.in/eVhEFqfw
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If you’re doing research in the behavioural and social sciences on topics related to security, then be sure to submit your abstracts for #BASS24! DEADLINE: 11 March 2024 SUBMIT BELOW: ⬇️ #SocialScience #Security
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Very proud to have coordinated connections between The LBJ School of Public Affairs, Strauss Center for International Security and Law, and Booz Allen Hamilton to shape participation in the #Connexions24 Conference at The University of Texas at Austin. Please check out my colleague's panel tomorrow afternoon, 12-1:15pm CT, either in-person (register here: https://lnkd.in/geJSqE4D) or online once the video is posted (YouTube channel here: https://lnkd.in/gYkuHHJU). Registration is open for only a few more hours so get your tickets now! Panel Description: Psyber Attack: How the Future Greatest Fighting Force Will Need to Unify Cyber, Information, & Cognitive Domain Ops Moderator: Sean Anthony Guillory, Ph.D. (Booz Allen Hamilton) Experts: LTG (ret.) Stephen Fogarty, Aryn Pyke (West Point), Natalie Stroud (UT Austin), Robert Thomson (West Point) Single domain attacks are a thing of the past. Physical/Kinetic attacks are done to “send messages” that can be transmitted through social media outlets within seconds and a tweet can both send stock markets crashing and ignite insurrections. These modern campaigns seamlessly weave between these dimensions and fighting forces that cannot bring the various expertise needed will be at a significant disadvantage. In our panel discussion, we will discuss how contemporary warfare campaigns converge across different dimensions; what that could look like as we move to a future with better AI, DeepFakes, and Spatial Computing; explain examples of modern forces who understand this new battlespace; and finally discuss what are things we can do to help our nation and allies in being successful in battling in converged domains. #WhatStartsHere #TexasExes #BoozAllenHamilton
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🎉 Exciting News to Share! 🎉 As I reflect on the journey of our latest research paper "𝐁𝐨𝐨𝐬𝐭𝐢𝐧𝐠 𝐃𝐢𝐠𝐢𝐭𝐚𝐥 𝐒𝐚𝐟𝐞𝐠𝐮𝐚𝐫𝐝𝐬: 𝐁𝐥𝐞𝐧𝐝𝐢𝐧𝐠 𝐂𝐫𝐲𝐩𝐭𝐨𝐠𝐫𝐚𝐩𝐡𝐲 𝐚𝐧𝐝 𝐒𝐭𝐞𝐠𝐚𝐧𝐨𝐠𝐫𝐚𝐩𝐡𝐲", now published in arXiv, I am overwhelmed with gratitude and pride. This milestone was not a solo journey but a collaborative effort that showcased the brilliance, dedication, and resilience of our incredible team and our esteemed guide, Jaydip Sen. A special shoutout to Anamitra Maiti,SOUMYAJIT BISWAS,Rishav Upadhaya, Biplab Kar,Vikas Chaudhary,Nikhil kumar for their relentless pursuit of excellence and innovation. Your expertise, creativity, and hard work have been instrumental in turning our ambitious ideas into a tangible reality. The publication "Boosting Digital Safeguards: Blending Cryptography and Steganography" focuses on improving digital security by integrating cryptography (encryption) and steganography (concealment) using images to hide data. Its goal is to securely transmit private data over public networks, ensuring that only authorized parties can access encrypted messages. The approach includes exploring cryptographic techniques like Diffie-Hellman Key Exchange, RSA, and Elgamal Algorithms, along with innovative steganographic methods such as Least Significant Bit (LSB) and GAN-based Steganography. The project evaluates these methods using metrics like MSE and PSNR to find the most effective techniques for various scenarios. Future work aims to enhance the system's effectiveness by improving GAN discriminator functions, exploring new network architectures, and increasing the robustness against attacks, among other goals. Let’s take a moment to celebrate this achievement and look forward to many more. Here’s to pushing boundaries, challenging the status quo, and making a difference in the world through our research. #ResearchPublication #TeamSuccess #Gratitude #Innovation #Collaboration Link to the Research Paper : https://lnkd.in/gnhjK62e
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Cyber Security and Network Technologies Student at Zayed University | IT Intern | Technology Enthusiast
I am thrilled to share that my research paper, titled "Machine Learning-Based Classification Approach for Network Intrusion Detection System," has been published! Under the guidance of my esteemed supervisor, Dr. Sanaa Kaddoura د. سناء قَدُّورة., and with the collaboration of my talented team members, we explored different methods to enhance network security through advanced machine learning techniques. Our approach aims to improve the detection and prevention of network intrusions, contributing to safer and more secure digital environments. You can read the full paper https://lnkd.in/d4vw_3gy.
Machine Learning-Based Classification Approach for Network Intrusion Detection System
ieeexplore.ieee.org
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Homomorphic encryption has been a hot topic in the news lately. If you’re interested in why this technology is so transformative, check out this article by Enveil Founder and CEO Ellison Anne Williams, highlighting five areas where HE can have an impact today. As a PhD mathematician who started her career in the Intelligence Community and has been working to advance the HE market since 2016, Ellison Anne offers a unique perspective on the practical, real-world applications of this breakthrough technology. From Promising to Practical — The Transformative Impact of Homomorphic Encryption: https://lnkd.in/gw5d_DiZ #homomorphicencryption #dataprivacy #datasecurity #PrivacyEnhancingTechnologies
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Happy to share our new research article
A Lightweight Security Solution for Mitigation of Hatchetman Attack in RPL-based 6LoWPAN
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Replay 2023: As part of a broader push to tighten security, science funding agencies in the US, UK and Canada are considering setting up a network to share information about security risks affecting international research projects https://lnkd.in/eZzutpMW
National science funders eye setting up international network to share research-security information
sciencebusiness.net
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Glad to share our research paper titled "Evasion Attack and Defense On Machine Learning Models in Cyber-Physical Systems: A Survey" has been published in IEEE Communications Surveys & Tutorials with an impact factor of 35.6. In the rapidly evolving field of cyber-physical systems (CPS), integrating machine learning (ML) is key to boosting efficiency and cutting labor costs. However, this integration opens CPS up to various adversarial ML attacks, notably evasion attacks, which are becoming a major concern in the field. These attacks are particularly alarming because they subtly manipulate the inputs to ML models to produce incorrect decisions while remaining undetected. This poses significant risks, especially in critical sectors like healthcare or infrastructure, where even minor errors can lead to disastrous outcomes like faulty medical diagnoses or power grid failures. The stealthy nature of these attacks, coupled with their potential to undermine public trust in automated systems, presents a daunting challenge for future CPS security. Ensuring the integrity and reliability of ML models in these systems against such sophisticated threats is becoming an increasingly critical task in safeguarding our digital and physical world. In this context, the paper titled "Evasion Attack and Defense on Machine Learning Models in Cyber-Physical Systems: A Survey" by Shunyao Wang, Ryan Ko, Guangdong Bai, Naipeng Dong, Taejun Choi, and Yanjun Zhang, provides a comprehensive survey, where the paper starts by discussing the fundamentals of CPS and adversarial attacks. Then it explores the intricacies of evasion attack strategies, aided by a taxonomy that illustrates how these attacks are conducted and the vulnerabilities they exploit within ML models in CPS. The paper then transitions to an overview of defense strategies, elaborating on how each technique strengthens the system against such attacks, utilizing a defense taxonomy for clarity. These defense mechanisms are examined from various perspectives, ranging from the ML model's inputs to its outputs. Finally, the paper highlights open issues, challenges, and potential directions for future research. The paper is available at: https://lnkd.in/geBth7_z
Evasion Attack and Defense On Machine Learning Models in Cyber-Physical Systems: A Survey
ieeexplore.ieee.org
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