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11th International Conference Security and Privacy in Communication Networks, SecureComm 2015

作者： Li, Yongfeng Shen, Tong Sun, Xin Pan, Xuerui Mao, Bing State Key Laboratory for Novel Software Technology Department of Computer Science and Technology Nanjing University Nanjing China

ISBN: (纸本)9783319288642

With the popularity of Android devices, more and more Android malware are manufactured every year. How to filter out malicious app is a serious problem for app markets. In this paper, we propose DroidADDMiner, an efficient and precise system to detect, classify and characterize Android malware. DroidADDMiner is a machine learning based system that extracts features based on data dependency between sensitive APIs. It extracts API data dependence paths embedded in app to construct feature vectors for machine learning. While DroidSIFT [13] also attempts automated detection of Android applications according to data flow analysis, DroidADDMiner can not only reduce the run time but also characterize malware’s behaviors automatically. We implement DroidADDMiner based on FlowDroid [14] and evaluate it using 5648 malware samples and 14280 benign apps. Experiments show that, for malware detection, DroidADDMiner achieves a 98% detection rate, with a 0.3% false positive rate. For malware classification, the accuracy of classifying malicious apps under their proper family labels is 96%. Although performing data flow analysis, most of the experimental samples can be examined in 60 seconds. © Institute for computer sciences, Social Informatics and Telecommunications Engineering 2015.

关键词： Android malware

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Combating NBTI-induced aging in data caches 13

Combating NBTI-induced aging in data caches

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23rd ACM International Conference of the Great Lakes Symposium on VLSI, GLSVLSI 2013

作者： Wang, Shuai Duan, Guangshan Zheng, Chuanlei Jin, Tao State Key Laboratory of Novel Software Technology Department of Computer Science and Technology Nanjing University Nanjing China

ISBN: (纸本)9781450319027

The negative bias temperature instability (NBTI) in CMOS devices is one of most prominent sources of aging mechanisms, which can induce severe threats to the reliability of modern processors at deep submicron semiconductor technologies. Due to the unbalanced duty cycle ratio of the SRAM cells, the data cache suffers a heavy NBTI stress and this will further exacerbate the aging effect in the data cache. In this paper, an aging-aware design is proposed to combat the NBTI-induced aging in the data cache. First, the detailed lifetime behaviors of the cachelines in the data cache are studied. Then, different schemes are proposed to mitigate the negative aging effects by balancing the duty cycle ratio of the SRAM cells in the cachelines according to their different lifetime phases. By applying our proposed idle-time-based cacheline invalidation, early write-back, and bit-flipping schemes, the duty cycle ratio of the data cache can be well balanced. By adopting the drowsy scheme for invalidated cachelines, our design can also reduce the power consumption significantly, which will further optimize the thermal behavior and aging effect of data caches. © 2013 ACM.

关键词： Negative bias temperature instability

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Ontology-based metadata matching for emergency decision-making using MapReduce

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International Journal of Metadata, Semantics and Ontologies 2015年第2期10卷 75-83页

作者： Zhu, Li Hu, Wei School of Economics and Management Nanjing University of Information Science and Technology Nanjing Jiangsu210044 China State Key Laboratory for Novel Software Technology Department of Computer Science and Technology Nanjing University Nanjing Jiangsu210023 China

Ontology matching techniques can help improve the accuracy of emergency decisionmaking on heterogeneous data. In this paper, we propose a practical approach to leverage ontology and MapReduce for matching metadata of emergency supplies. We use this approach in the domain of emergency food. Specifically, by extending the AGROVOC ontology developed by the Food and Agriculture Organisation (FAO) of United Nations, ontological descriptions of food metadata are established. Then, based on the classification of emergency functionality, the instances of food metadata within the same category are matched in a two-stage TF-IDF fashion, which is further improved with the MapReduce framework for efficient parallel computation. Our experiments on grain, meat and milk metadata retrieved from several e-commerce websites demonstrate the good performance of the proposed approach. Additionally, case study is provided to illustrate the potential use of our approach. © 2015 Inderscience Enterprises Ltd.

关键词： MapReduce

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VDoc+:a virtual document based approach for matching large ontologies using MapReduce

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Journal of Zhejiang University-science C(computers and Electronics) 2012年第4期13卷 257-267页

作者： Hang ZHANG Wei HU Yu-zhong QU State Key Laboratory for Novel Software Technology Nanjing UniversityNanjing 210093China Department of Computer Science and Technology Nanjing UniversityNanjing 210093China

Many ontologies have been published on the Semantic Web,to be shared to describe *** them,large ontologies of real-world areas have the scalability problem in presenting semantic technologies such as ontology matching(OM).This either suffers from too long run time or has strong hypotheses on the running *** deal with this issue,we propose a three-stage MapReduce-based approach V-Doc+ for matching large ontologies,based on the MapReduce framework and virtual document ***,two MapReduce processes are performed in the first stage to extract the textual descriptions of named entities(classes,properties,and instances) and blank nodes,*** the second stage,the extracted descriptions are exchanged with neighbors in Resource Description Framework(RDF) graphs to construct virtual *** extraction process also benefits from the MapReduce-based implementation.A word-weight-based partitioning method is proposed in the third stage to conduct parallel similarity calculation using the term frequency-inverse document frequency(TF-IDF) *** results on two large-scale real datasets and the benchmark testbed from Ontology Alignment Evaluation Initiative(OAEI) are reported,showing that the proposed approach significantly reduces the run time with minor loss in precision and recall.

关键词： Ontology matching Virtual document MapReduce TF-IDF Semantic Web

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Exploring overall opinions for document level sentiment classification with structural SVM

Exploring overall opinions for document level sentiment clas...

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作者： Pu, Xiaojia Wu, Gangshan Yuan, Chunfeng State Key Laboratory for Novel Software Technology Department of Computer Science and Technology Nanjing University Nanjing China

As a fundamental task of sentiment analysis, document level sentiment classification aims to predict user’s overall sentiment (e.g., positive or negative) towards the target in a document. The document usually consists of various opinion sentences towards different aspects with different sentiments. Therefore, the overall opinion towards the whole target should play a more important role in document sentiment prediction. However, most existing methods for the task treat all sentences of the document equally. Thus, they are easy to encounter difficulty when the sentiments of most aspect opinion sentences are not coherent with the overall sentiment. To address this, we propose a novel method for document sentiment classification which adequately explores the effect of overall opinion sentences. In our method, firstly, multiple features are exploited to recognize candidate overall opinion sentences, and then a structural SVM is utilized to encode the overall opinion sentences for document sentiment classification. Experiments on several public available datasets including product reviews and movie reviews show the effectiveness of our method. © 2017, Springer-Verlag Berlin Heidelberg.

关键词： Sentiment analysis

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DroidAlarm: An all-sided static analysis tool for Android privilege-escalation malware 13

DroidAlarm: An all-sided static analysis tool for Android pr...

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8th ACM SIGSAC Symposium on Information, computer and Communications Security, ASIA CCS 2013

作者： Zhongyang, Yibing Xin, Zhi Mao, Bing Xie, Li State Key Laboratory for Novel Software Technology Department of Computer Science and Technology Nanjing University Nanjing China

ISBN: (纸本)9781450317672

Since smartphones have stored diverse sensitive privacy information, including credit card and so on, a great deal of malware are desired to tamper them. As one of the most prevalent platforms, Android contains sensitive resources that can only be accessed via corresponding APIs, and the APIs can be invoked only when user has authorized permissions in the Android permission model. However, a novel threat called privilege escalation attack may bypass this watchdog. It's presented as that an application with less permissions can access sensitive resources through public interfaces of a more privileged application, which is especially useful for malware to hide sensitive functions by dispersing them into multiple programs. We explore privilege-escalation malware evolution techniques on samples from Android Malware Genome Project. And they have showed great effectiveness against a set of powerful antivirus tools provided by VirusTotal. The detection ratios present different and distinguished reduction, compared to an average 61% detection ratio before transformation. In order to conquer this threat model, we have developed a tool called DroidAlarm to conduct a full-spectrum analysis for identifying potential capability leaks and present concrete capability leak paths by static analysis on Android applications. And we can still alarm all these cases by exposing capability leak paths in them. © 2013 ACM.

关键词： Static analysis

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A binary graph reduction algorithm for multi-constrained QoS routing 10

A binary graph reduction algorithm for multi-constrained QoS...

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Proceedings of the Second Asia-Pacific Symposium on Internetware

作者： Zhang, Sheng Qian, Zhuzhong Lu, Sanglu Chen, Daoxu State Key Laboratory for Novel Software Technology Nanjing University China Department of Computer Science and Technology China

ISBN: (纸本)9781450306942

A lot of network services and applications are being designed to support quality-of-service (QoS) routing. One of the key problems is to find a feasible path that satisfies multiple QoS requirements, i.e., Multi-Constrained Path (MCP) problem which is known to be NP-complete. Many heuristic and approximation algorithms have been proposed to solve this problem. However, most of them converted it into the classic shortest path problem by transforming multiple QoS weights into single weight. In this paper, we propose a binary graph reduction (BGR) algorithm to convert network graph into a simplified graph by removing redundant edges before constructing a routing path. BGR improves system performance from two aspects: i) BGR decreases the decision-making time, which then decreases the delay of end users;ii) BGR removes some abnormal anti-heuristic redundant edges from network graph, so that the actual routing algorithm could get a better result. We use a multimedia delivery system to illustrate these advantages in this paper. Simulation results also approve the efficiency of the proposed BGR algorithm.

关键词： Quality of service

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Static detection of un-trusted variables in PHP web applications

Static detection of un-trusted variables in PHP web applicat...

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2009 International Conference on E-Business and Information System Security, EBISS 2009

作者： Shushen, Peng Qing, Gu Daoxu, Chen State Key Laboratory of Novel Software Technology Department of Computer Science and Technology Nanjing University Nanjing China

ISBN: (纸本)9781424445899

Web applications support more and more our daily activities, it's important to improve their reliability and security. The content which users input to web applications' server-side is named un-trusted content. Un-trusted content has a significant impact on the reliability and security of web applications, so detecting the un-trusted variables in server-side program is important for improving the quality of web applications. The previous methods have poor performance on weak typed and none typed server-side programs. To address this issue, this paper proposed a new technique for detecting un-trusted variables in PHP web applications (PHP is a weak typed server-side language). The technique is based upon a two phases static analysis algorithm. In the first phase, we extract modules from the web application. Then un-trusted variables are detected from modules in the second phase. An implementation of the proposed techniques DUVP was also presented in the paper and it's successfully applied to detect un-trusted variables in large-scale PHP web application. © 2009 IEEE.

关键词： Static analysis

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Planning with multi-valued landmarks

Planning with multi-valued landmarks

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27th AAAI Conference on Artificial Intelligence, AAAI 2013

作者： Zhang, Lei Wang, Chong-Jun Wu, Jun Liu, Meilin Xie, Jun-Yuan State Key Laboratory for Novel Software Technology Department of Computer Science and Technology Nanjing University 210023 China

ISBN: (纸本)9781577356158

Landmark heuristics are perhaps the most accurate current known admissible heuristics for optimal planning. A disjunctive action landmark can be seen a form of at-least-one constraint on the actions it contains. In many domains, some critical propositions have to be established for a number of times. Propositional landmarks are too weak to express this kind of constraints. In this paper, we propose to generalize landmarks to multi-valued landmarks to represent the more general cardinality constraints. We present a class of local multi-valued landmarks that can be efficiently extracted from propositional landmarks. By encoding multi-valued landmarks into CNF formulas, we can also use SAT solvers to systematically extract multi-valued landmarks. Experiment evaluations show that multivalued landmark based heuristics are more close to h * and compete favorably with the state-of-the-art of admissible landmark heuristics on benchmark domains. Copyright © 2013, Association for the Advancement of Artificial Intelligence (***). All rights reserved.

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Coordinated placement and replacement for grid-based hierarchical web caches

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4th International Conference on Grid and Cooperative Computing - GCC 2005

作者： Li, Wenzhong Wu, Kun Ping, Xu Tao, Ye Lu, Sanglu Chen, Daoxu State Key Laboratory for Novel Software Technology Department of Computer Science and Technology Nanjing University 210093 China

ISBN: (纸本)3540305106

Web caching has been well accepted as a viable method for saving network bandwidth and reducing user access latency. To provide cache sharing on a large scale, hierarchical web caching has been widely deployed to improve the scalability of content dissemination through the World Wide Web. In this paper, we present GHC, a grid-based hierarchical web caching architecture, for constructing efficient cache hierarchy in Grid environment. Basing on the GHC architecture, we also proposed HCPR algorithm, which is a novel coordinated placement and replacement algorithm for hierarchical web caching scheme. The principle of HCPR algorithm is to improve cache usage, to cache hot document close to clients so as to minimize the number of hops to locate and access Web documents. The simulation study shows that the HCPR algorithm has higher cache hit ratio and lower access latency compared with the traditional hierarchical caching algorithms. © Springer-Verlag Berlin Heidelberg 2005.

关键词： Hierarchical systems

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