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Recent Advances in engineering and Computational sciences (RAECS)

作者： Sandeep Kumar C. Rama Krishna Naveen Aggarwal Rakesh Sehgal Saurabh Chamotra Department of Computer Science and Engineering NITTTR Chandigarh India Department of Computer Science and Engineering Punjab University Chandigarh India Department of Cyber Security Technology Development CDAC Mohali India

With the rise in the underground Internet economy, automated malicious programs popularly known as malwares have become a major threat to computers and information systems connected to the internet. Properties such as self healing, self hiding and ability to deceive the security devices make these software hard to detect and mitigate. Therefore, the detection and the mitigation of such malicious software is a major challenge for researchers and security personals. The conventional systems for the detection and mitigation of such threats are mostly signature based systems. Major drawback of such systems are their inability to detect malware samples for which there is no signature available in their signature database. Such malwares are known as zero day malware. Moreover, more and more malware writers uses obfuscation technology such as polymorphic and metamorphic, packing, encryption, to avoid being detected by antivirus. Therefore, the traditional signature based detection system is neither effective nor efficient for the detection of zero-day malware. Hence to improve the effectiveness and efficiency of malware detection system we are using classification method based on structural information and behavioral specifications. In this paper we have used both static and dynamic analysis approaches. In static analysis we are extracting the features of an executable file followed by classification. In dynamic analysis we are taking the traces of executable files using NtTrace within controlled atmosphere. Experimental results obtained from our algorithm indicate that our proposed algorithm is effective in extracting malicious behavior of executables. Further it can also be used to detect malware variants.

关键词： Malware Feature extraction Algorithm design and analysis Software Classification algorithms Internet Syntactics

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WarMops: A Workload-Aware Resource Management Optimization Strategy for IaaS Private Clouds

WarMops: A Workload-Aware Resource Management Optimization S...

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IEEE International Conference on Services Computing (SCC)

作者： Jun Zhang Jing Wang Jie Wu Zhihui Lu Shiyong Zhang Yiping Zhong School of Computer Science Fudan University Shanghai China Engineering Research Center of Cyber Security Ministry of Education Shanghai China

For an IaaS cloud, the primary task is to satisfy users' demands for resources. Besides, administrators also have to deal with problems such as how to optimize allocation and utilization of resources at the data center level, how to guarantee the application's performance and scalability and how to cut the costs of maintenance and management. This paper focuses on the runtime optimization of IaaS private clouds. In such an environment, administrators usually have more autonomy and control over cloud resources and applications, which brings more space for optimization. In order to achieve appropriate resource allocation for virtual machines and improve utilization, this paper first proposes WarMops: a workload-aware method to optimize the resource configuration of virtual machines and an allocation scheme based on resource reservation and sharing, in an effort to arrive at the proper size of resources to meet the real needs of virtual machines. Integrating the methods mentioned above, this paper puts forward a systematic framework and modules for the runtime optimization of cloud resource management. This paper uses a mainstream benchmark application in this field - RUBiS to test the framework which, in turn, verifies the correctness and validity of the schemes.

关键词： Resource management Cloud computing Virtual machining Optimization Algorithm design and analysis Monitoring Fluctuations

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Non-dominated sorting environmental adaptation method (NS-EAM)

Non-dominated sorting environmental adaptation method (NS-EA...

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International Conference on Signal Processing and Integrated Networks (SPIN)

作者： Ritu Nigam Arjun Choudhary K. K. Mishra Computer Science & Engineering ABES Engg. College Ghaziabad India Computer Science & Cyber Security S. P. U. P. Security and Criminal Justice Jodhpur India Computer Science & Engineering Moti Lal Nehru NIT Allahabad India

A modified version of NSGA-II named as NSEAM is proposed to solve multi-objective optimization (MOO) problems, which is better in performance as compared to NSGA-II. In this proposed algorithm a new Bio inspired algorithm (EAM) is used instead of genetic algorithm. Benchmark functions have been used to justify the performance of this newly proposed algorithm. Initially this bio inspired algorithm was created for the purpose of solving single objective optimization (SOO) problems and it had already showed promising results as compared to the currently prevailing evolutionary algorithms. So it was thought to extend this EAM algorithm's application area over MOO problems. With slight change in the present SOO algorithm, it can be applied in the MOO problems. This proposed algorithm is compared with NSGA-II and Result analysis shows that it is more efficient and converges to the true parito-optimal front very rapidly.

关键词： Genetic algorithms Signal processing algorithms Optimization Sociology Statistics Evolutionary computation Genetics

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Fairness-Aware Cooperative Caching Scheme for Mobile Social Networks

Fairness-Aware Cooperative Caching Scheme for Mobile Social ...

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IEEE International Conference on Communications

作者： Dongsheng Wei Konglin Zhu Xin Wang Engineering Research Center of Cyber Security Auditing and Monitoring Ministry of Education China Institute of Computer Science University of Goettingen Goettingen Germany

Data access is an important and challenging issue in Mobile Social Networks (MSNs), and cooperative caching is an effective technique to improve the access performance. Most of current research efforts in data access of MSNs focus on improving the access performance while neglecting the fair treatment of users. Because fairness is considered as a major incentive for peer-to-peer service especially in infrastructure-less wireless networks, in this paper we propose a novel approach to support fairness aware cooperative caching scheme in MSNs. Through capturing close friend set of each node, we cache data prior at nodes which are overlapped by most nodes' close friend sets. Then we derive the optimal cooperative scheme by using the minimum dominating set, which is an NP-Complete problem, and we design a heuristic algorithm to handle it. Experimental results show that our scheme can effectively improve data access fairness as well as maintain nearly the same access performance compared to existing cooperative caching schemes.

关键词： Peer-to-peer computing Indexes Cooperative caching Mobile communication Mobile computing Measurement Algorithm design and analysis

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A biometric-based authenticated key agreement scheme using ECC for Wireless Sensor Networks 14

A biometric-based authenticated key agreement scheme using E...

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29th Annual ACM Symposium on Applied Computing, SAC 2014

作者： Yoon, Eun-Jun Yoo, Kee-Young Department of Cyber Security Kyungil University 33 Buho-Ri Hayang-Ub Kyungsan-Si Kyungsangpuk-Do 712-701 Korea Republic of School of Computer Science and Engineering Kyungpook National University 1370 Sankyuk-Dong Buk-Gu Daegu 702-701 Korea Republic of

ISBN: (纸本)9781450324694

Recently, various user authentication schemes have successfully drawn researchers' attention and been studied widely in order to guarantee secure communication for wireless sensor networks (WSNs). This paper proposes a new biometric-based authenticated key agreement scheme using Elliptic Curve Cryptosystem (ECC) for WSN to minimize the complexity of computational costs between the sensor node and the GW-node and fit low-power sensor network environments. Compared with previous schemes, the newly proposed scheme has the following more practical characteristics: (1) it provides secure session key agreement function by adopting elliptic curve cryptosystem, (2) it can reduce the total execution time and memory requirement due to the elliptic curve cryptography, (3) it is not only secure against well-known cryptographical attacks but also provides perfect forward secrecy, and (4) it does not require the user password and uses only hash function. Analysis results show that the proposed scheme is extremely suitable for use in WSNs since it provides security, reliability, and efficiency. Copyright 2014 ACM.

关键词： Authentication

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PROTECTING COMMUNICATIONS INFRASTRUCTURE AGAINST cyber ATTACKS

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中国通信 2014年第8期11卷前插1-前插2页

作者： GU Dawu JIANG Xuxian XUE Yibo ZOU Wei Guo Li Shanghai Jiao Tong University in Computer Science and Engineering Department Cyber Defense Lab at the North Carolina State University Raleigh NC USA Tsinghua University Peking University and China Computer Federation(CCF) National Engineering Laboratory for Information Security Technologies in China

Our world becomes more and more dependent on communications infrastructure such as computer resources,network connections and devices for ***,current security techniques do not provide adequate protection against cyber attackers for these systems and *** increasing complexity of communications and networking infrastructure makes it difficult to analyze the network flow,recognize and block the attack traffic and trace *** rapid development of computer systems and applications continuously introduce new vulnerabilities,and it is a challenge to locate and fix these vulnerabilities.

关键词： protection against rapid development computer systems network flow

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CDCAS: A Novel Cloud Data Center security Auditing System

CDCAS: A Novel Cloud Data Center Security Auditing System

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IEEE International Conference on Services Computing (SCC)

作者： Xueying Wang Jun Zhang Mingbo Wang Lijun Zu Zhihui Lu Jie Wu School of Computer Science Fudan University China UnionPay Research Institute of Electronic Payment Shanghai China Auditing and Monitoring Engineering Research Center of Cyber Security Shanghai China

With the increasing acceptance of cloud data center and virtualization technology by enterprises and industries, the security concern becomes the key hindrance to the development and deployment of cloud computing. security auditing is a good way to deal with the threats faced by a cloud data center. But traditional auditing is no longer suitable for the new cloud environment. In this paper, we design, implement and evaluate the CDCAS, a novel cloud data center auditing system, which matches the demand of the scalability and efficiency of a cloud data center. In this system, we design one distributed and autonomous agent model which can be controlled by a set of rules dynamically generated to fit its use scenario. We then build the log analysis model which uses the signature based method and correlative analysis algorithm to extract security events from collected log with agreeable false positives. We evaluate our system both on real world and simulation to validate its efficiency. And our system is also deployed by the cloud data center of a well-known financial institution, and performs well.

关键词： security Cloud computing Servers Transforms Algorithm design and analysis Distributed databases

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Implementing a novel load-aware auto scale scheme for private cloud resource management platform

Implementing a novel load-aware auto scale scheme for privat...

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IEEE Symposium on Network Operations and Management

作者： Jie Bao Zhihui Lu Jie Wu Shiyong Zhang Yiping Zhong School of Computer Science Fudan University Shanghai China Fudan University Shanghai Shanghai CN Engineering Research Center of Cyber Security Auditing and Monitoring Ministry of Education Shanghai China

Resources dynamical allocation and management is always an important feature in cloud computing. Auto Scale allows users to scale their cloud resources capacity according to elastic loads timely, which has been widely used in mature public cloud. For private cloud, there are some different features from public cloud. It is more flexible to use Auto Scale technique to provide QoS guarantees and ensure system health. In this paper, we design a novel Auto Load-aware Scale scheme for private cloud environment. We describe scale in and scale out strategy based on prediction algorithm. We implement our scheme on OpenStack platform. Both simulation and experiments are carried out to evaluate our work. The experiments show that our scheme has better performance in resource utilization while providing high SLA levels.

关键词： Cloud computing Virtual machining Measurement Monitoring Prediction algorithms Servers Resource management

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Improvement of timing reliability and data transfer security of synchrophasor measurements

Improvement of timing reliability and data transfer security...

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IEEE PES Transmission and Distribution Conference and Exposition

作者： L. Zhan D. Zhou T. King Y. Liu E. Johannessen J. Alexander B. Boza Dept. of Electrical Engineering and Computer Science University of Tennessee Knoxville USA Low Frequency Systems UrsaNav Inc Bedford USA Business Development Scout Industries LLC - Scout Cyber Security Knoxville USA

Synchronized phasor measurements are becoming one of the key measurement elements of wide area measurement systems in advanced power system monitoring, protection, and control applications. Availability of global positioning system (GPS) provides the possibility of wide-area deployment of Phasor Measurement Unit (PMU) and Frequency Disturbance Recorder (FDR) in power system. GPS is the only timing source for PMU and FDR so far, and they will cease to work when GPS signal is lost or unstable. In addition, phasor data is transferred over the Internet without any encryption, which exposes data to cyber-attacks. The purpose of this paper is to develop an alternative GPS independent timing synchronization method for PMU and FDR, and to implement an encryption system without disrupting real-time data delivery. Primary test results confirm improvement of timing reliability and data transfer security of synchrophasor measurements.

关键词： Encryption Global Positioning System Phasor measurement units Frequency measurement Synchronization Servers

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Applying data mining to improve faculty evaluation for educational organizations

Applying data mining to improve faculty evaluation for educa...

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2014 International Conference on engineering Technology And Applications(ICETA2014)

作者： Wen Si Rong Tan Jian Wang Hongmei Liu Jianye Li College of Information and Computer Science Shanghai Business School Cyber Physical System R&D Center The Third Research Institute of Ministry of Public Security School of Electronic Information and Electrical Engineering Shanghai Jiao Tong University Donghua University The Third Research Institute of Ministry of Public Security

One of the challenges of educational organization improvement is to manage talented teachers effectively,*** assign the right teacher for given *** providing scientific performance evaluation,some factors related to a teacher,such as age,experience,professional,*** play important ***,it is crucial to find the underlying associations between teachers' personal information and their working *** this paper,data mining technique is employed to improve the faculty *** algorithm called Quick Apriori,which is based on the classic Apriori algorithm,is *** results not only provide the decision rules related to personal characteristics with working performance,but also show that the obtained rules are consonant with existing experience.

关键词： data mining knowledge management Quick Apriori algorithm human resource management talented management

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