Network Traffic Anomaly Detection via Deep Learning

Network intrusion detection is a key pillar towards the sustainability and normal operation of information systems. Complex threat patterns and malicious actors are able to cause severe damages to cyber-systems. In this work, we propose novel Deep Learning formulations for detecting threats and alerts on network logs that were acquired by pfSense, an open-source software that acts as firewall on FreeBSD operating system. pfSense integrates several powerful security services such as firewall, URL filtering, and virtual private networking among others. The main goal of this study is to analyse the logs that were acquired by a local installation of pfSense software, in order to provide a powerful and efficient solution that controls traffic flow based on patterns that are automatically learnt via the proposed, challenging DL architectures. For this purpose, we exploit the Convolutional Neural Networks (CNNs), and the Long Short Term Memory Networks (LSTMs) in order to construct robust multi-class classifiers, able to assign each new network log instance that reaches our system into its corresponding category. The performance of our scheme is evaluated by conducting several quantitative experiments, and by comparing to state-of-the-art formulations.

A Public–Private Networking and Partnership Model: The Gatton Academy of Mathematics and Science

This article profiles public–private partnerships and networks established by the public, residential, STEM-focused Carol Martin Gatton Academy of Mathematics and Science in Kentucky. Authors discuss relationships and partnerships cultivated to extend student learning opportunities beyond what public support provides. The article focuses first on key partnerships that were imagined when the program was created, profiling how these relationships have evolved in the program’s first 12 years. These foundational partnerships include the program’s integration with Western Kentucky University and a model designed to partner with every school district in the state. The authors then take a wider view of program partnerships, spotlighting relationships within the program’s portfolio of philanthropic networking, external funding, and corporate partnerships. The network of partnerships profiled includes strategies to endow summer internship programs, need-based scholarship funding, and to provide a rounded arts education in a STEM-focused learning environment.

The Changing Physical and Social Environment of Newsgathering: A Case Study of Foreign Correspondents Using Chat Apps During Unrest

Mobile chat apps have shaped multiple forms of communication in everyday life, including education, family, business, and health communication. In journalism, chat apps have taken on a heightened significance in reporting political unrest, particularly in terms of audience/reporter distinctions, sourcing of information, and community formation. Mobile phones are now essential components in reporters’ everyday communication, and particularly during political unrest. In East Asia, the latest trends point toward private networking apps, such as WeChat and WhatsApp, as the most important digital tools for journalists to interact with sources and audiences in news production. These apps provide a set of private (and, increasingly, encrypted) alternatives to open, public-facing social media platforms. This article is the first to examine foreign correspondents’ usage of chat apps for newsgathering during political unrest in China and Hong Kong since the 2014 “Umbrella Movement,” a time when the use of chat apps in newsgathering became widespread. This article identifies and critically examines the salient features of these apps. It then discusses the ways these journalistic interactions on chat apps perpetuate, disrupt, and affect “social” newsgathering. This article argues that chat apps do not represent one interactive space; rather they are hybrid interactions of news production embedded in social practices rather than pre-existing physical/digital spaces. This research is significant as the emergence of chat apps as tools in foreign correspondents’ reporting has implications for journalistic practices in information gathering, storage, security, and interpretation and for the informational cultures of journalism.

Analisis dan Pengujian Permasalahan Pada Sistem Remote Access IPSec

Abstract— VPN (Virtual Private Networking) sebagai teknologi remote access yang memungkinkan pengguna jarak jauh dapat mengakses sumber daya yang ada di jaringan komputer utama. Untuk mengimplementasikan remote access VPN berbasis protokol IPsec memiliki berbagai masalah dan kebutuhan yang menghambat penerapannya secara luas. Kajian ini akan mencari solusi masalah dan kebutuhan dalam penerapan remote access VPN berbasis protokol Ipsec dengan penggunaan perangkat lunak IKEv2 strongSwan. Kesimpulan yang kami dapatkan dari hasil penelitian skripsi ini adalah bahwa sistem remote access IPsec berbasis perangkat lunak IKEv2 strongSwan mampu mengatasi semua masalah dan kebutuhan dalam penerapan remote access VPN berbasis IPsec. Pengembangan selanjutnya yang dapat dilakukan adalah melakukan simulasi penerapan IPsec Extensible Authentication Protocol (EAP) dan simulasi pengujian interoperabilitas antara Linux IKEv2 strongSwan sebagai server dan klien berbasis Windows. Index Terms— Extensible Authentication Protocol (EAP), IPSec, Remote Access, VPN (Virtual Private Networking).