International Journal of Computer Science and Engineering

1-6

Authors: Srinivas B K & Sinchana Gowda R

This paper deals with the android application security detection method, based on the permissions .Mobile applications create their own security and privacy models through permission-based models. Some applications may request extra permissions that they do not need but may use for suspicious activities. The aim of this study is to identify those spare permissions requested and use this information in the security and privacy approach. To combat serious malware campaigns, we need a scalable malware detection approach that can effectively and efficiently identify malware apps. The proposed method based on metropolis algorithm with twalk is to provide the detection method for the android security of the applications based on the permissions that the applications request from the users during installations. This method helps to speedup detection and also increasing the sampling rate. Accuracy, precisions and recall values are calculated using true and false positive and negativerates depending on which this model is selected to detect the security of the android application.

15-30

Authors: Osman Goni & Md. Abu Shameem

Network security is the process of taking physical and software preventative measures to protect the underlying networking infrastructure from unauthorized access, misuse, malfunction, modification, destruction, or improper disclosure, thereby creating a secure platform for computers, users, and programs to perform their permitted critical functions within a secure environment. A local area network (LAN) is a computer network within a small geographical area such as a home, school, computer laboratory, office building or group of buildings. A LAN is composed of inter-connected workstations and personal computers which are each capable of accessing and sharing data and devices, such as printers, scanners and data storage devices, anywhere on the LAN. LANs are characterized by higher communication and data transfer rates and the lack of any need for leased communication lines. A data network is an interconnected system of computers, peripherals and software over which data files and messages are sent and received. LAN is only one type of computer network. LAN define is Data com system allowing a number of independent devices to communicate directly with each other, within a moderately sized geographic area over a physical communications channel of moderate data rates. Fiber-optic communication is a method of transmitting information from one place to another by sending pulses of infrared light through an optical fiber. The light is a form of carrier wave that is modulated to carry information. Fiber is preferred over electrical cabling when high bandwidth, long distance, or immunity to electromagnetic interference is required. This type of communication can transmit voice, video, and telemetry through local area networks or across long distances. Optical fiber is used by many telecommunications companies to transmit telephone signals, Internet communication, and cable television signals. Researchers at Bell Labs have reached a record bandwidth distance product of over 100 petabit × kilometers per second using fiber optic communication. Communication between remote parties can be achieved through a process called Networking, involving the connection of computers, media and networking devices. When we talk about networks, we need to keep in mind three concepts, distributed processing, network criteria and network structure. The purpose of this Network is to design a Local Area Network (LAN) for a BAEC (Bangladesh Atomic Energy Commission) Head Quarter and implement security measures to protect network resources and system services. To do so, we will deal with the physical and logical design of a LAN. The goal of this Network is to examine of the Local Area Network set up for a BAEC HQ and build a secure LAN system.

37-48

Authors: Osman Goni

We live in age of modern science. Computer Network is the best innovation of Modern science. A local area network (LAN) is a computer network within a small geographical area such as a home, school, computer laboratory, office building or group of buildings. A LAN is composed of inter-connected workstations and personal computers which are each capable of accessing and sharing data and devices, such as printers, scanners and data storage devices, anywhere on the LAN. LANs are characterized by higher communication and data transfer rates and the lack of any need for leased communication lines. A high-quality and correctly dimensioned network infrastructure is essential for all well- functional IT system. A Local Area Network based network can ensure high speed as well as high quality network. To fulfill the current requirements of AERE (Atomic Energy Research Establishment) considering its smooth operation of high speed internet service, LAN based network is the state-of-the-art network solution. A LAN network design refers to the specialized processes leading to a successful installation and operation of a network which includes determining the type of communication system(s) which will be carried over the network, the geographic layout, the transmission equipment required and the fiber network over which it will operate. The purpose of this Network is to design a Local Area Network (LAN) for AERE (Atomic Energy Research Establishment) and implement security measures to protect network resources and system services. To do so, I will deal with the physical and logical design of a LAN. The goal of this Network is to examine of the Local Area Network set up for AERE and build a secure LAN system.

1-10

Authors: Srinivas B K & Sinchana Gowda R

This paper deals with the survey of android application security detection methods based on the permissions. To combat a serious malware campaign, we need a scalable malware detection approach that can effectively and efficiently identify malware apps. The proposed survey is to provide the different models to detect the android security of the applications based on the permissions that the applications request from the users during installations. Accuracy, precisions, recall values are calculated using true and false positive and negative rates, depending on these the best models are selected to detect the security of the android application.

1-8

Authors: Apurva Pavaskar, Saurabh Dawkhar, Diksha Kamble, Praneet Mugdiya & S. F. Sayyad

Commercially viable photography began in the late 1820s, but the effective on-set of color photography started as late as 1970s. During this period of over a century, photographs captured were mostly black and white. Colorization plays a vital role in representing the true virtue of real-world manifestations. The human eye perceives color and often remembers information about an object based on its coloration. Colorization problem is difficult to solve without manual adjustment. The proposed systems develop colored versions of gray scale images that closely resemble the real-world versions. The use of Artificial Neural Networks in the form of Convolutional Neural Networks (CNN) and Generative Adversarial Networks (GAN) to learn about features and characteristics through training allows for assigning plausible color schemes without human intervention.

15-18

Authors: Supriya H S, Sumanth Alva R, Suprith K P, Vikas Kumar L & P Kyshan Neheeth

Clinical decision support systems are computer based automated systems developed with the aid of AI and ML for supporting and improving the accuracy of clinical decision-making processes. These systems are used by clinicians in making diagnostic decisions and treatment plans. It is able to simulate expertise and express logical reasoning for making assertions. Many inexperienced clinicians are not well confident in certain autistic cases because their observed diagnosis and the calculated grade may not be always similar. Availability of diagnostic experts to provide clinical expertise is also a problem in the diagnosis of autism children. Hence, there is a need of a computer assist system comprised of experience and skill of a clinician, which can advance the power of existing diagnostic method. The computer-assisted system will help to confirm the assessment decisions of clinicians. Research works about the application of machine learning techniques for the development of autism assessment and grading in this area is very much required. This work proposes an approach which uses machine learning techniques for autism grading.

1-6

Authors: Rekha Naug & Kavita

Whenever a complex code is written to provide computational solutions for some task or to make some business activities faster and accurate, or to create some new features to existing software application, it is possible that some piece of code later become dead code. This dead code does not play any role in result of the software application, but makes the program bulkier and slow. To make the complex code less bulkier and faster execution, we should identify and remove the dead code. Sometimes, it is troublesome to identify and eliminate it because some other pure code might have dependency on it. Many researchers have worked on this problem and concluded their results. The Adam Fischbach, John Hannan[1] proposed their research work to eliminate useless variables and utilization of weak form of dependent variables. The researchers have used type interface based approach for useless variable elimination and useless code elimination. We have defined two algorithms to identify and eliminate dead code of the c program.

1-10

Authors: Zheng Shi Zheng Wen & Jin Xia Impact Factor

The purpose of this paper is to recognize Bottle-neck Diagnosis in Regional Economic System. This paper presents a new self-organizing data mining method applied to Bottle-neck Diagnosis in Regional Economic System. The result shows that the new method is more effective in diagnosis compared with GMDH method. Its algorithm is relatively simple. It relies on the expert’s destination of the inputs and outputs from lots of data instead of the models. The comparative results between new method and the GMDH method show that the accuracy of this new method is similar as GMDH method, however the additional precondition can be found. This is the prominent characteristic of the new method. Thus, its application in diagnosis in the fields of Management Science is more promising.

27-42

Authors: Supriya. H. S & Dayananda. R. B

A huge amount of data regarding Terabytes are generated from digital technologies all over the world. Analysis of such massive data termed Bigdata is required to extract essential information from it. Such Bigdata analysis are required in almost every sector such as business intelligence, financial services, consumer services, healthcare services, energy management, industrial process management, IOT, etc. In this paper, we review the works related to big data analytics that is applied in the variety of applicative domains, the techniques involved and the tools and platforms involved.