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Digital Communications and Networking Commons™
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Articles 1 - 6 of 6
Full-Text Articles in Digital Communications and Networking
Real-Time Detection System For Suspicious Urls, Krishna Prasad Chouty, Anup Chandra Thogiti, Kranthi Sudha Vudatha
Real-Time Detection System For Suspicious Urls, Krishna Prasad Chouty, Anup Chandra Thogiti, Kranthi Sudha Vudatha
All Capstone Projects
Twitter is prone to malicious tweets containing URLs for spam, phishing, and malware distribution. Conventional Twitter spam detection schemes utilize account features such as the ratio of tweets containing URLs and the account creation date, or relation features in the Twitter graph. These detection schemes are ineffective against feature fabrications or consume much time and resources. Conventional suspicious URL detection schemes utilize several features including lexical features of URLs, URL redirection, HTML content, and dynamic behavior. However, evading techniques such as time-based evasion and crawler evasion exist. In this paper, we propose WARNINGBIRD, a suspicious Real-Time URL detection system for …
Teaching Cybersecurity Using The Cloud, Khaled Salah, Mohammad Hammoud, Sherali Zeadally
Teaching Cybersecurity Using The Cloud, Khaled Salah, Mohammad Hammoud, Sherali Zeadally
Information Science Faculty Publications
Cloud computing platforms can be highly attractive to conduct course assignments and empower students with valuable and indispensable hands-on experience. In particular, the cloud can offer teaching staff and students (whether local or remote) on-demand, elastic, dedicated, isolated, (virtually) unlimited, and easily configurable virtual machines. As such, employing cloud-based laboratories can have clear advantages over using classical ones, which impose major hindrances against fulfilling pedagogical objectives and do not scale well when the number of students and distant university campuses grows up. We show how the cloud paradigm can be leveraged to teach a cybersecurity course. Specifically, we share our …
Developing Cyberspace Data Understanding: Using Crisp-Dm For Host-Based Ids Feature Mining, Joseph R. Erskine
Developing Cyberspace Data Understanding: Using Crisp-Dm For Host-Based Ids Feature Mining, Joseph R. Erskine
Theses and Dissertations
Current intrusion detection systems generate a large number of specific alerts, but do not provide actionable information. Many times, these alerts must be analyzed by a network defender, a time consuming and tedious task which can occur hours or days after an attack occurs. Improved understanding of the cyberspace domain can lead to great advancements in Cyberspace situational awareness research and development. This thesis applies the Cross Industry Standard Process for Data Mining (CRISP-DM) to develop an understanding about a host system under attack. Data is generated by launching scans and exploits at a machine outfitted with a set of …
Automated Virtual Machine Introspection For Host-Based Intrusion Detection, Brett A. Pagel
Automated Virtual Machine Introspection For Host-Based Intrusion Detection, Brett A. Pagel
Theses and Dissertations
This thesis examines techniques to automate configuration of an intrusion detection system utilizing hardware-assisted virtualization. These techniques are used to detect the version of a running guest operating system, automatically configure version-specific operating system information needed by the introspection library, and to locate and monitor important operating system data structures. This research simplifies introspection library configuration and is a step toward operating system independent introspection. An operating system detection algorithm and Windows virtual machine system service dispatch table monitor are implemented using the Xen hypervisor and a modified version of the XenAccess library. All detection and monitoring is implemented from …
An Analysis Of Botnet Vulnerabilities, Sean W. Hudson
An Analysis Of Botnet Vulnerabilities, Sean W. Hudson
Theses and Dissertations
Botnets are a significant threat to computer networks and data stored on networked computers. The ability to inhibit communication between servers controlling the botnet and individual hosts would be an effective countermeasure. The objective of this research was to find vulnerabilities in Unreal IRCd that could be used to shut down the server. Analysis revealed that Unreal IRCd is a very mature and stable IRC server and no significant vulnerabilities were found. While this research does not eliminate the possibility that a critical vulnerability is present in the Unreal IRCd software, none were identified during this effort.
Secured Network Model For Management Information System Based On Ip Security (Ipsec) Encryption Using Multilayered Approach Of Network Security, Dr. Amir Hassan Pathan, Muniza Irshad
Secured Network Model For Management Information System Based On Ip Security (Ipsec) Encryption Using Multilayered Approach Of Network Security, Dr. Amir Hassan Pathan, Muniza Irshad
International Conference on Information and Communication Technologies
Secured flow of information through the network and play important role in the management information systems. In this paper I describe Secured Network Model For Corporate & Business Organization In Based On Network Level IP Security (IPSec) Encryption & Its Physical Layout Using Multilayered Approach. I have four important considerations for adoption of secured network model as secured network model for management information system.