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Prior approaches toward automated deobfuscation of Android applications have relied on certain structural parts of apps remaining as landmarks, un-touched by obfuscation.
For instance, some prior approaches have assumed that the structural relation- ships between identifiers e. Both approaches can be easily defeated by a motivated obfuscator. MACNETO makes few assumptions about the kinds of modifications that an obfuscator might perform, and we show that it has high precision when applied to two different state-of-the-art obfuscators: Kim Dynamic reconfiguration systems guided by coarse-grained program phases has found success in improving overall program performance and energy efficiency.
In this study, we detect program phases using interval sizes on the order of tens, hundreds, and thousands of program cycles. This is in stark contrast with prior phase detection studies where the interval size is on the order of several thousands to millions of cycles.
The primary goal of this study is to begin to fill a gap in the literature on phase detection by characterizing super fine-grained program phases and demonstrating an application where detection of these relatively short-lived phases can be instrumental.
Traditional models for phase detection including basic block vectors and working set signatures are used to detect super fine-grained phases as well as a less traditional model based on microprocessor activity.
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Finally, we show an analytical case study where super fine-grained phases are applied to voltage and frequency scaling optimizations. Unfortunately, there is little quantitative data on how well existing tools can detect these attacks. This paper presents the first quantitative study on concurrency attacks and their implications on tools. Our study on 10 widely used programs reveals 26 concurrency attacks with broad threats e.
Our study further reveals that, only extremely small portions of inputs and thread interleavings or schedules can trigger these attacks, and existing concurrency bug detectors work poorly because they lack help to identify the vulnerable inputs and schedules. Our key insight is that the reports in existing detectors have implied moderate hints on what inputs and schedules will likely lead to attacks and what will not e. With this insight, this paper presents a new directed concurrency attack detection approach and its implementation, OWL.
It extracts hints from the reports with static analysis, augments existing detectors by pruning out the benign inputs and schedules, and then directs detectors and its own runtime vulnerability verifiers to work on the remaining, likely vulnerable inputs and schedules.
Evaluation shows that OWL reduced All OWL source code, exploit scripts, and results are available at https: The relationship has always be seen as voluntary. Newly discovered evidence raises the question of whether Fabyan was in fact paid, at least in part, for his services, but available records do not provide a definitive answer. Bellovin New information has been discovered about Frank Miller's one-time pad. These documents explain Miller's threat model and show that he had a reasonably deep understanding of the problem; they also suggest that his scheme was used more than had been supposed.
A Software Engineering Perspective on Game Bugs Iris Zhang In the past decade, the complexity of video games have increased dramatically and so have the complexity of software systems behind them. The difficulty in designing and testing games invariably leads to bugs that manifest themselves across funny video reels on graphical glitches and millions of submitted support tickets.
This paper presents an analysis of game developers and their teams who have knowingly released bugs to see what factors may motivate them in doing so. It examines different development environments as well as inquiring into varied types of game platforms and play-style. Above all, it seeks out how established research on software development best practices and challenges should inform understanding of these bugs.
These findings may lead to targeted efforts to mitigate some of the factors leading to glitches, tailored to the specific needs of the game development team.
Software Engineering Methodologies and Life Scott Lennon The paradigms of design patterns and software engineering methodologies are methods that apply to areas outside the software space.
As a business owner and student, I implement many software principles daily in both my work and personal life. After experiencing the power of Agile methodologies outside the scope of software engineering, I always think about how I can integrate the computer science skills that I am learning at Columbia in my life.
For my study, I seek to learn about other software engineering development processes that can be useful in life. I theorize that if a model such as Agile can provide me with useful tools, then a model that the government and most of the world trusts should have paradigms I can learn with as well.
The software model I will study is open source software OSS.
My study shall describe the similarities that exist between these two methodologies. In the process of my research, I was able to implement the values and paradigms that define the OSS development model to work more productively in my business. Software engineering core values and models can be used as a tool to improve our lives.
Programming Understanding from Similar Code Anush Ramsurat The aim of the user study conducted is primarily threefold: While most approaches focus on identifying code that looks alike, some researchers propose to detect instead code that functions alike, which are known as functional clones.
However, previous work has raised the technical challenges to detect these functional clones in object oriented languages such as Java. We propose a novel technique, In-Vivo Clone Detection, a language-agnostic technique that detects functional clones in arbitrary programs by observing and mining inputs and outputs.
We implemented this technique targeting programs that run on the JVM, creating HitoshiIO available freely on GitHuba tool to detect functional code clones. Our experimental results show that it is powerful in detecting these functional clones, finding methods that are functionally similar across a corpus of projects, even when there are only very few inputs available.
Many of these web applications are quite storage-intensive. Cloud computing offers attractive and economical choices for meeting their storage needs. Unfortunately, it remains challenging for developers to best leverage them to minimize cost. This paper presents Grandet, a storage system that greatly reduces storage cost for web applications deployed in the cloud.
Grandet provides both a key-value interface and a file system interface, supporting a broad spectrum of web applications. Under the hood, it supports multiple heterogeneous stores, and unifies them by placing each data object at the store deemed most economical. We implemented Grandet on Amazon Web Services and evaluated Grandet on a diverse set of four popular open-source web applications.
Our results show that Grandet reduces their cost by an average of The source code of Grandet is at http: We show how the ARM hardware support for virtualization can support much faster transitions between the VM and the hypervisor, a key hypervisor operation.
However, current hypervisor designs, including both KVM Type 1 and Xen Type 2are not able to lever- age this performance benefit in practice for real application workloads. We discuss the reasons why and show that other factors related to hypervisor software design and implementation have a larger role in overall performance than the speed of micro architectural operations. These changes have been incorporated into the latest ARM architecture. We measure the speed-up on a bubble oscillation test with varying mesh resolution.
We also report a few examples with higher complexity than previously achieved. Directly translating these structures yields infinitely large circuits; a subtler approach is required.
We propose a sequence of abstraction-lowering transformations that exposes time and memory in a Haskell program. This paper outlines these transformations on a specific example; future research will focus on generalizing and automating them in our group's compiler.
Cyber-physical systems include systems ranging from critical infrastructure such as a power grid and transportation system to health and biomedical devices. An unreliable system often leads to disruption of service, financial cost and even loss of human life. An important and prevalent type of cyber-physical system meets the following criteria: This thesis aims to improve system reliability for this type of cyber-physical system. To improve system reliability for this type of cyber-physical system, I present a system evaluation approach entitled automated online evaluation AOEwhich is a data-centric runtime monitoring and reliability evaluation approach that works in parallel with the cyber-physical system to conduct automated evaluation along the workflow of the system continuously using computational intelligence and self-tuning techniques and provide operator-in-the-loop feedback on reliability improvement.
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