Artificial Intelligence algorithms predict the future based on the trained models and datasets. However, a reliable prediction requires a tamper-resistant model with immutable data. Blockchain technology provides trusted output with consensus-based transactions and an immutable distributed ledger. Therefore, blockchain can help AI to produce immutable models for trustworthy prediction. But most smart contracts that define the language of blockchain applications do not support floating-point data type, limiting computations for classification, which affects the prediction accuracy.

The vagueness and complexity of the traditional legal contracts have motivated the study and exploration of a better and advanced contract known as Blockchain-based Smart Contracts. A Smart Contract is a self-executable contract where the terms of the agreement between the involved parties are directly written into the lines of code that resides in the distributed ledger technology known as the Blockchain. In this poster, we present a brief overview of the key features of the paradigm shift from traditional paper contracts to smart contracts.

The generation of random binary numbers for cryptographic use is often addressed using pseudorandom number-generating functions in compilers and specialized cryptographic packages. Using IBM’s Qiskit reset functionality, we were able to implement a straight-forward in-line Python function that returns a list of quantum-generated random numbers, by creating and executing the circuit on IBM quantum systems.

In recent years, malicious binary programs have increased significantly. One way to analyze such programs is to decompile them into source code so that more scalable analyses can be performed using tools that require source code. However, most of the decompilers produce code with undefined types and other errors that prevent the programs to be recompiled correctly. We have developed a closed-loop GNN-based system to generate recompilable source code.

A brief description of vulnerability management, scanning, and solutions brought forward by Greenbone and their multiple solutions in the vulnerability sphere. They are the developers behind OpenVAS, as well as their Enterprise and Cloud offerings which specialize in Vulnerability Management. Greenbone's specialization enables them to offer services to both small and large businesses, with multiple offerings from the Greenbone Enterprise 35 to the 6500, all of which utilize their proprietary Greenbone Operating System (GOS).

Ransomware is becoming more and more of a prominent attack in our present day. In essence, it is a type of malware that prevents one from accessing a device or information stored in that device. 75% of these attacks begin with either a phishing email or Remote Desktop Protocol (RDP), with 60% of ransomware cases ending up having malware directly installed on one’s desktop or sharing apps. With that in mind, it is important that organizations know about it and know what they can do to mitigate it.

Plaintext DNS reveals every website that a user visits regardless of other encryption (e.g. HTTPS) or anonymity (e.g. Virtual Private Networks) used. DoH (DNS over HTTPS) was introduced to encrypt the previously-plaintext DNS queries to improve web privacy. In this research, we show that even DoH queries still leak the website name. Our attack on DoH is similar to website fingerprinting attacks, where the URL visited by a user is predicted based on the size of network packets and the number of network packets transmitted.

PACE (Pathway to Advancement in Cybersecurity Education) is a guided Cybersecurity pathway that introduces dual enrollment College courses as early as 9th grade with multiple educational and employment exit points. PACE was funded for the last three years by a grant from the NSF-ATE. This poster summarizes PACE outcomes and best practices for establishing a strong pathway program.

Many Cybersecurity students get into the field without previous opportunity to work on different technologies and hands-on skills in building a secure network infrastructure. Students going into the Cybersecurity workforce need to know all the different network functions of a secure corporate network. This poster will provide attendees with different objectives of an end of the semester project with a rubric. The course provides students the needed networking experiences and the teamwork required to build, secure, monitor, and defend a corporate network.

As the world evolves, academic expansion has become an increasingly paramount factor for human development (King, 2011). As a result, studies have shown that educational institutions' population will increase by approximately 2-3% between the years 2016 - 2028 (National Center for Education Statistics, n.d.). With the increased effort in academic pursuit, there also arises a growing concern over the cybersecurity posture held by individuals, educational institutions and the education industry at large (Catota et al, 2019).