SiaLog: detecting anomalies in software execution logs using the siamese network

Dimensionality Reduction Framework for Detecting Anomalies from Network Logs

Dynamic web services are vulnerable to a multitude of intrusions that could be previously unknown. Server logs contain vast amounts of information about network traffic, and finding attacks from these logs improves the security of the services. In this research features are extracted from HTTP query parameters using 2-grams. We propose a framework that uses dimensionality reduction and clusteri...

Detecting Network Anomalies in Backbone Networks

Uncovering anomalies in large ISPs and enterprise networks is challenging because of the wide variety of such anomalies. They can come from activity with malicious intentions (e.g., scanning, DDoS, prefix hijacking), or from misconfigurations and failures of network components (e.g., link failures, routing problems, outages in measurement equipment). In the literature, the problem of detecting ...

Detecting anomalies in BACnet network data

Over the last few years, the volume of data in the Building Automation System (BAS) networks has increased exponentially. Nowadays, it is possible to obtain several kinds of data from building networks such as data based on individual service type, specific building location and even specific time of the day. As a consequence, large volumes of data with more variables have to be considered when...

Detecting Anomalies in Printed Intelligence Factory Network

analysis of power in the network society

اندیشمندان و صاحب نظران علوم اجتماعی بر این باورند که مرحله تازه ای در تاریخ جوامع بشری اغاز شده است. ویژگیهای این جامعه نو را می توان پدیده هایی از جمله اقتصاد اطلاعاتی جهانی ، هندسه متغیر شبکه ای، فرهنگ مجاز واقعی ، توسعه حیرت انگیز فناوری های دیجیتال، خدمات پیوسته و نیز فشردگی زمان و مکان برشمرد. از سوی دیگر قدرت به عنوان موضوع اصلی علم سیاست جایگاه مهمی در روابط انسانی دارد، قدرت و بازتولید...