International Journal of Autonomic Computing (4 papers in press)
ANALYSIS OF REVERSE TRACING ALGORITHM (RTA) FOR THE DETECTION OF DOS ATTACKS IN MANET
by Hemalatha P, Vijitha Ananthi J.
Abstract: Nowadays successful communication was provided by the wireless network with high data rate services. The major strategies in wireless network were security and trustworthiness. Due to the denial of service attacks, most of the communication was disrupted. That was overcome by a new proposed algorithm called reverse tracing algorithm, which helps to find the attackers through reverse tracing messages. If the acknowledgment received after every successful transmission, that was secure communication. If does not receive acknowledgement properly, that will be considered as unsuccessful transmission. By using this revers tracing algorithm, can identify the attacks. Simulation results have performed using network simulator tool and then parameters such as throughput, delay, drop rate, goodput and packet delivery ratio was analyzed. Compared to the previous approaches, proposed reverse tracing algorithm achieves good performance.
Keywords: MANET; reverse tracing algorithm; denial of service attacks; network simulator.
NOVEL CONCEPT FOR REDUCING THE POWER CONSUMPTION OF LOOK AHEAD CARRY ADDER CIRCUIT BY USING STACKIABATIC TECHNIQUE
by Kapil Mangla, Anil Kumar
Abstract: For many years, designing of high speed low power circuits with CMOS technology was a difficult challenge for research community. There are various levels at which design problem related to low power and increased demand can be addressed; these levels are - software level, architecture level, algorithm level, circuit level and process technology level. In this paper we have designed a 4-bit Look Ahead Carry Adder using CMOS technology. The objective of this paper is to put different approaches that reduce the consumption of power of Look Ahead Carry Adder. We have designed Look Ahead Carry Adder using Stackiabatic Technique and compared with conventional, adiabatic & stacking techniques. The objective of this paper is to put different approaches that reduce the consumption of power.
Keywords: CMOS Circuit; VLSI; Combinational Circuits; Tanner EDA; Power.
Predictive Mining for Stock Market based on Live News TF-IDF Features
by Vaishali Ingle, Sachin Deshmukh
Abstract: The various machine learning algorithms are used for prediction of stock market movement. The data collected for stock market is in the form of breaking news from various finance web sites. The TF-IDF features extracted from online news data are used for creation of HMM model along with log likelihood values. The next day's stock price is predicted as either higher or lower than current day's stock price. Results obtained from proposed model is compared with results from other machine learning predictive techniques such as Random Forest ,KNN,Multiple Regression, Bagging and Boosting. The proposed model produces approximately 70 % of accurate prediction. The captured features are graphically represented with word cloud .The results can be further improved with use of deep learning ensemble methods.
Keywords: Text Mining; Stock Market ,HMM; Bagging; Boosting; Multiple Regression; Random Forest; Finance News ; TF-IDF; Word cloud.
A Survey on Load Balancing Algorithms in Cloud Computing
by Rafiqul Zaman Khan, Mohammad Oqail Ahmad
Abstract: Cloud computing is a rising technology, which offers various online services like data storage, application and infrastructure on pay per used fashion that provides access in location independent manner. These services offer significant benefits for both consumer and producer. For optimal utilization of resources, researchers from both academia and industry focuses their efforts towards on cloud computing services. To achieve this target, numerous challenges have to be faced, out of which, load balancing is a centric issue in cloud computing environment which requires distribution of work load in a fairly manner across all the nodes. In this paper, a rich collection of algorithms have been surveyed and presented with detailed classification of algorithms based on different metrics such as reaction time, resource utilization, and energy efficiency and so on. Moreover, the merits, demerits, implementation tool and scope of implementation of each algorithm have been presented. The different implementation tools have also been discussed which provides the better idea for simulation platform. This work is intended to enable the readers to decide suitable approach and simulation platform for better load balancing algorithm.
Keywords: cloud computing; load balancing algorithms; load balancing strategies.