Home PURPOSE OF THE CENTER: To develop the center to address state-of-the-art research, create innovating educational programs, and support technology transfers using commercially viable results to assist the Army Research Laboratory to develop the next generation Future Combat System in the telecommunications sector that assures prevention of perceived threats, and Non Line of Sight/Beyond Line of Sight lethal support.

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2005년 대한 생화학·분자생물학회 하계학술대회를 다녀와서

여성사 쓰기의 가능성과 현주소, 한국여성연구소 여성사연구실 지음, 청년사 1999

A range of applications, from predicting the spread of human and electronic viruses to city planning and resource management in mobile communications, depend on our ability to foresee the whereabouts and mobility of individuals, raising a fundamental question: To what degree is human behavior predictable? Here we explore the limits of predictability in human dynamics by studying the mobility patterns of anonymized mobile phone users. By measuring the entropy of each individual's trajectory, we find a 93% potential predictability in user mobility across the whole user base. Despite the significant differences in the travel patterns, we find a remarkable lack of variability in predictability, which is largely independent of the distance users cover on a regular basis.

http://absimage.aps.org/image/MAR10/MWS_MAR10-2009-007155.pdf

Limits of predictability in human mobility

Towards DNA based data security in the cloud computing environment

Today, the size of a multimedia file is increasing day by day from gigabytes to terabytes or even petabytes, mainly because of the evolution of a large amount of real-time data. As most of the multimedia files are transmitted through the internet, hackers and attackers try to access the users’ personal and confidential data without any authorization. Thus, maintaining a strong security technique has become a significant concerned to protect the personal information. Deoxyribonucleic Acid (DNA) computing is an advanced field for improving security, which is based on the biological concept of DNA. A novel DNA-based encryption scheme is proposed in this article for protecting multimedia files in the cloud computing environment. Here, a 1024-bit secret key is generated based on DNA computing and the user's attributes and password to encrypt any multimedia file. To generate the secret key, the decimal encoding rule, American Standard Code for Information Interchange value, DNA reference key, and complementary rule are used, which enable the system to protect the multimedia file against many security attacks. Experimental results, as well as theoretical analyses, show the efficiency of the proposed scheme over some well-known existing schemes.

Securing Multimedia by Using DNA-Based Encryption in the Cloud Computing Environment

Enhanced-Ant-AODV for optimal route selection in mobile ad-hoc network

Cloud computing is an emerging and highly attractive technology due to its inherent efficiency, cost-effectiveness, flexibility, scalability and pay-per-use characteristics. But alongside these advantages, many new problems have also surfaced and some of these issues have become a cause of grave concern. One of the existing problems that have become critical in the cloud environment is the issue of access control and security. Access control refers to a policy that authenticates a user and permits the authorized user to access data and other resources of cloud-based systems. In access control, there are several restrictions and rules that need to be followed by the users before they can access any kind of data or resource from the cloud-based servers. In this context, there are many access control models suggested by researchers that currently exist. In this chapter, a brief discussion of the various access control models has been presented. Moreover, the taxonomy of access control schemes has also been introduced. Finally, based on the analysis of the mechanisms adapted therein, the access control models are classified into different classes of the proposed taxonomy.

Taxonomy and Classification of Access Control Models for Cloud Environments

The present work deals with the prediction of optimal parametric data-set with maximum material removal rate (MRR) and a minimum electrode wear ratio (EWR) during Electrical discharge machining (EDM) of AISI 316LN Stainless Steel For this purpose, empirical models showing relation between inputs and outputs were developed using response surface methodology Desirability-based multi-objective particle swarm optimization-original, desirability-based multi-objective particle swarm optimization-inertia weight, and desirability-based multi-objective particle swarm optimization-constriction factor are then used to estimate the optimal process parameters for maximum MRR and minimum EWR The results obtained by applying these three desirability-based multi-objective particle swarm optimization (DMPSO) algorithms are compared From the comparison and confirmatory experiment, it can be observed that DMPSO-CF is the most efficient algorithm for the optimization of EDM parameters

https://www.tandfonline.com/doi/pdf/10.1080/21693277.2014.902341

An approach to optimize the EDM process parameters using desirability-based multi-objective PSO

To ensure security for data exchange is a challenges task in Internet of Things (IoT). Thus, research on side-channel attack is a major issue in this domain. Side-channel attack is based on side-channel information. This attack is of either ciphertext only attack or plaintext only attack or chosen plaintext attack. Moreover, since this attack is cheap to perform, it requires little computing power and is relatively easy to perform. So, this attack is growing day by day. Therefore, security is not an easy task to establish in a given system. The motive behind this paper is to present a comprehensive survey on different types of IoT attack with special focus on side-channel attack. In addition, a list of research issues and open challenges are also highlighted in the paper.

Abhishek Majumder

Papers

Securing Multimedia by Using DNA-Based Encryption in the Cloud Computing Environment

Enhanced-Ant-AODV for optimal route selection in mobile ad-hoc network

Taxonomy and Classification of Access Control Models for Cloud Environments

An approach to optimize the EDM process parameters using desirability-based multi-objective PSO

Side-Channel Attack in Internet of Things: A Survey