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2014 Recent Advances in engineering and Computational sciences, RAECS 2014

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

ISBN: (纸本)9781479922918

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. © 2014 IEEE.

关键词： Malware

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Multidimensional information-based tracking system

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Ruan Jian Xue Bao/Journal of Software 2015年 26卷 111-118页

作者： Xu, Wei-Dong Zhou, Chuan-Jie Chen, Zhe Wang, Xin School of Computer Science Fudan University Shanghai201203 China Engineering Research Center of Cyber Security Auditing and Monitoring Ministry of Education Shanghai200433 China

With the popularity of mobile devices and social informatization, a lot of trajectory data is increasingly accumulated in daily life and used in different applications. Based on the location information of users in the mobile social network and campus informatization management network, a trajectory tracking system named Argo is proposed in this paper. In order to realize multi-information fusion trajectory tracking, various sources of location information such as Weibo, E-mail, BBS, E-card and the passive localization information from wireless access points covering the entire campus, are all analyzed in the Argo. Experimental results show that the system can effectively achieve the trajectory tracking and provide a better service for users. © Copyright 2015, Institute of Software, the Chinese Academy of sciences. All rights reserved.

关键词： Informatization

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A Context Aware Reputation Mechanism for Enhancing Big Data Veracity in Mobile Cloud Computing

A Context Aware Reputation Mechanism for Enhancing Big Data ...

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International Conference on computer and Information Technology (CIT)

作者： Hui Lin Jia Hu Jiajia Liu Li Xu Yulei Wu Fujian Provincial Key Laboratory of Network Security and Cryptology Fujian Normal University Fuzhou China Department of Mathematics and Computer Science Liverpool Hope University Liverpool UK School of cyber engineering Xidian university Xian China Fujian Normal University Fuzhou Fujian CN College of Engineering University of Exeter Exeter UK

ISBN: (纸本)9781509001552

Data veracity ensures that the data used are trusted, authentic and protected from unauthorized access and modification. In order to implement the veracity of big data, specific trust models and approaches must be designed and developed. In this paper, a category based context aware and recommendation incentive based reputation mechanism (CCRM) is proposed to defend against the internal attacks to enhance the big data veracity in mobile cloud computing (MCC). Simulation results and performance analysis demonstrate the superior performance of the CCRM in terms of the utility of the recommender, the reputation decrease speed and update accuracy, compared to the existing reputation mechanisms under internal collusion attacks and bad mouthing attacks in MCC.

关键词： Big data security Mobile communication Data models Cloud computing Context-aware services Sensors

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After the ‘War on Terror’—how to maintain long-range terrorist deterrence

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Journal of Policing, Intelligence and Counter Terrorism 2014年第1期9卷 19-31页

作者： Jan Kallberg Cyber Security Research and Education Institute Erik Jonsson School of Engineering and Computer Science University of Texas at Dallas Richardson USA Department of Computer Science Erik Jonsson School of Engineering and Computer Science Director of the Cyber Security and Educational Center University of Texas at Dallas Richardson USA

The American withdrawal from Afghanistan scheduled for 2014 signals an end to the first phase of the global ‘War on Terror’. Once the War on Terror enters a less intensive phase, a revised approach to terrorist deterrence would be necessary. The future global War on Terror is indicated to be focused on intelligence operations, surgical strikes to attack terrorist groups, increased surveillance and interception of terrorist activity and finally deterrence. Traditional deterrence requires a mutual understanding of a common rationality and a mutual interest of survival between the parties. These conditions do not exist in deterring terrorists. This paper is focused on how to establish and maintain long-range terrorist deterrence after the War on Terror. If traditional deterrence is applied on terrorism, it tends to end up in a tit-for-tat game, strike when struck and countervalue targeting. Traditional deterrence does not work against groups that operate under a different rationale. Instead, deterrence could be directed to the first logical layer surrounding terrorist activity like criminal networks supplying resources paid for by cash or illicit drugs. If these layers are deterred, terrorists either are denied necessary means or are forced to take bolder and riskier approaches to acquire their means, exposing them to a far higher likelihood of detection and interception

关键词： austerity cyber forensics cyber warfare data mining deterrence forensics irrational actor terrorism terror funding War on Terror

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An EAI Based Integration Solution for science and Research Outcomes Information Management

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Procedia computer science 2015年 64卷 894-901页

作者： Fernando Rosa Sequeira Rafael Z. Frantz Iryna Yevseyeva Michael T.M. Emmerich Vitor Basto-Fernandes School of Technology and Management Polytechnic Institute of Leiria 2411-901 Leiria Portugal UNIJUÍ University Department of Exact Sciences and Engineering Ijuí Brazil Cyber Security Research Institute School of Computing Science Newcastle University NE1 7RU Newcastle-upon-Tyne UK Multicriteria Optimization Design and Analytics Group LIACS Leiden University Niels Bohrweg 1 2333-CA Leiden The Netherlands School of Technology and Management Computer Science and Communications Research Centre Polytechnic Institute of Leiria 2411-901 Leiria Portugal

In this paper we present an Enterprise Application Integration (EAI) based proposal for research outcomes information management. The proposal is contextualized in terms of national and international science and research outcomes information management, corresponding supporting information systems and ecosystems. Information systems interoperability problems, approaches, technologies and tools are presented and applied to the research outcomes information management case. A business and technological perspective is provided, including the conceptual analysis and modelling, an integration solution based in a Domain-Specific Language (DSL) and the orchestration engine to execute the proposed solution. For illustrative purposes, the role and information system needs of a research unit is assumed as the representative case.

关键词： Enterprise Application Integration Domain-Specific Language Information Management.

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Malware detection by token counting

Malware detection by token counting

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International Conference on Contemporary Computing and Informatics (IC3I)

作者： Ajeet Singh Poonia Shivraj Singh Department of Computer Science College of Engineering and Technology Bikaner India Department of Computer Science and Cyber Security Sardar Patel University of Police Security and Criminal Justice Jodhpur

Malicious software (or malware) is defined as software that fulfills the harmful intent of an attacker and it is one of the most pressing and major security threats facing the Internet today. Antivirus companies typically have to deal with thousands of new malware every day. If antivirus software has large database then there is more chance of false positive and false negative, so to store the huge database in the virus definition, is very complex task. In this research paper the new concept is that, in spite of storing complete signatures of the virus, we can store the various tokens and their frequency in the program. In this process we will use only tokens of executable statements, so there is no problem if dead code in malware is also present. In the tokens we use two definitions one is operator and another is operand. So we can form new type of signature of a malware that take less size in the database and also give less negative false and positive false. The benefits of using the token concept includes; fewer databases storage memory is required; estimate size of the malicious software can be calculated; easy estimation of the complexity of the malicious program; If the malicious program has dead code or repetition of statements then also we can find accurate signature of the program by using executable statements only. So, by this process we can detect malicious code easily with less database storage memory with more precise way.

关键词： Malware Databases Software computers Estimation Complexity theory

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A science of System security

A Science of System Security

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IEEE Annual Conference on Decision and Control

作者： Ann Cox Sandip Roy Sean Warnick Cyber Security Division Homeland Security Advanced Research Projects Agency (HSARPA) Science and Technology Directorate US Department of Homeland Security School of Electrical Engineering and Computer Science at Washington State University Computer Science Department of Brigham Young University

ISBN: (纸本)9781467360890

As the internet becomes the information-technology backbone for more and more operations, including critical infrastructures such as water and power systems, the security problems introduced by linking such operations to the internet become more of a concern. Various communities have considered these problems and approached solutions from a variety of perspectives. In this paper, we consider the contributions we believe control theory can make towards developing tools for analyzing whole system security, that is, security of a system that may include its physical and human elements as well as its cyber components. In particular, we contrast notions of security focused on protecting information, and thus concerned primarily with delivering the right information to the right people (and no one else), with a different perspective on system security focused on protecting system functionality, which is concerned primarily with system robustness to particular attacks (and may not be concerned with privacy of communications).

关键词： Communities computer security US Government computers Computational modeling Robustness

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Malicious data classification using structural information and behavioral specifications in executables

Malicious data classification using structural information a...

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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

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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