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Full-Text Articles in Other Computer Sciences

Improved Worm Simulator And Simulations, Arnold Suvatne Dec 2010

Improved Worm Simulator And Simulations, Arnold Suvatne

Master's Projects

According to the latest Microsoft Security Intelligence Report (SIR), worms were the second most prevalent information security threat detected in the first half of 2010 – the top threat being Trojans. Given the prevalence and damaging effects of worms, research and development of worm counter strategies are garnering an increased level of attention. However, it is extremely risky to test and observe worm spread behavior on a public network. What is needed is a packet level worm simulator that would allow researchers to develop and test counter strategies against rapidly spreading worms in a controlled and isolated environment. Jyotsna Krishnaswamy, …


Intrusion Detection And Prevention System: Sql-Injection Attacks, Varian Luong Dec 2010

Intrusion Detection And Prevention System: Sql-Injection Attacks, Varian Luong

Master's Projects

Personally identifiable information (PII) is information regarding things such as bank accounts, retirement or stock investment accounts, credit card accounts, medical records, or insurance claims. There is a need to protect the PII in databases that are connected to the ubiquitous, global network that is the Internet. If there is any vulnerability in the protection in a system that holds PII, then it presents an opportunity for an unauthorized person to access this PII. One of the techniques available to would- be information thieves is SQL injection (SQL-I). In this project, a system is developed to analyze the values submitted …


Online Application Monitoring Tool, Sathya Anandan Dec 2010

Online Application Monitoring Tool, Sathya Anandan

Master's Projects

In some classes, students take online tests and some types of network activity (for example trying to find the answers in www.google.com) will be considered as cheating during the exam. It would be useful if instructor could monitor online activities of each student to detect cheating. The goal of this project is to develop such a tool using client/server architecture. Tool should display the student's hostname and the website visited during unauthorized web activity. Professor should able to see the applications opened by all students and he will have an option to view the log files of all the students …


Automatic Execution Path Finding Tool, Fan Yang Dec 2010

Automatic Execution Path Finding Tool, Fan Yang

Master's Projects

Today, there are many hackers trying to break software using reverse engineering tech- niques. To better protect software, we need to understand reverse engineering methods. This project presents a tool that automatically analyzes executable code in a manner simi- lar to the way an attack might analyze code.

Using reverse engineering techniques, executables can be disassembled to yield an as- sembly code representation of the program. Assembly code is much more human reada- ble than binary code. With assembly code, an attacker can attempt to modify the program to do something other than what was intended by the developer.

The …


A Microrna Target Prediction Algorithm, Rupinder Singh Dec 2010

A Microrna Target Prediction Algorithm, Rupinder Singh

Master's Projects

MicroRNA target prediction using the experimental methods is a challenging task. To accelerate the process of miRNA target validation, many computational methods are used. Computational methods yield many potential candidates for experimental validation. This project is about developing a new computational method using dynamic programming to predict miRNA targets with more accuracy. The project discusses the currently available computational methods and develops a new algorithm using the currently available knowledge about miRNA interactions.


Approximate Disassembly Using Dynamic Programming, Abhishek Shah Dec 2010

Approximate Disassembly Using Dynamic Programming, Abhishek Shah

Master's Projects

Most commercial anti-virus software uses signature based techniques to detect whether a file is infected by a virus or not. However, signature based detection systems are unable to detect metamorphic viruses, since such viruses change their internal structure from generation to generation. Previous work has shown that hidden Markov models (HMMs) can be used to detect metamorphic viruses. In this technique, the code is disassembled and the resulting opcode sequences are used for training and detection. Due to the disassembly step, this process is not efficient enough to use when a decision has to be made in real time.

In …


Computational Mirna Target Prediction In Animals, Leyan Tang Dec 2010

Computational Mirna Target Prediction In Animals, Leyan Tang

Master's Projects

miRNAs are a class of small RNA molecules about 22 nucleotides long that regulate gene expression at the post-transcriptional level. The discovery of the second miRNA 10 years ago was as much a surprise in its own way as the very structure of DNA discovered a half century earlier[1]. How could these small molecules regulate so many genes? During the past decade the complex cascade of regulation has been investigated and reported in detail[2]. The regions of the genome called untranslated regions, or UTRs, proved true to their name: they were indeed untranslated, but certainly not unimportant: they act as …


A Study On Masquerade Detection, Lin Huang Dec 2010

A Study On Masquerade Detection, Lin Huang

Master's Projects

In modern computer systems, usernames and passwords have been by far the most common forms of authentication. A security system relying only on password protection is defenseless when the passwords of legitimate users are compromised. A masquerader can impersonate a legitimate user by using a compromised password.

An intrusion detection system (IDS) can provide an additional level of protection for a security system by inspecting user behavior. In terms of detection techniques, there are two types of IDSs: signature-based detection and anomaly-based detection. An anomaly-based intrusion detection technique consists of two steps: 1) creating a normal behavior model for legitimate …