Purpose In the recent era, banking infrastructure constructs various remotely handled platforms for users. However, the security risk toward the banking sector has also elevated, as it is visible from the rising number of reported attacks against these security systems. Intelligence shows that cyberattacks of the crawlers are increasing. Malicious crawlers can crawl the Web pages, crack the passwords and reap the private data of the users. Besides, intrusion detection systems in a dynamic environment provide more false positives. The purpose of this research paper is to propose an efficient methodology to sense the attacks for creating low levels of false positives. Design/methodology/approach In this research, the authors have developed an efficient approach for malicious crawler detection and correlated the security alerts. The behavioral features of the crawlers are examined for the recognition of the malicious crawlers, and a novel methodology is proposed to improvise the bank user portal security. The authors have compared various machine learning strategies including Bayesian network, support sector machine (SVM) and decision tree. Findings This proposed work stretches in various aspects. Initially, the outcomes are stated for the mixture of different kinds of log files. Then, distinct sites of various log files are selected for the construction of the acceptable data sets. Session identification, attribute extraction, session labeling and classification were held. Moreover, this approach clustered the meta-alerts into higher level meta-alerts for fusing multistages of attacks and the various types of attacks. Originality/value This methodology used incremental clustering techniques and analyzed the probability of existing topologies in SVM classifiers for more deterministic classification. It also enhanced the taxonomy for various domains.

Recent technological advancements in wireless communication and sensors made Wireless Sensor Networks (WSNs) as one of the demanding platforms in the current scenario. In WSN, tiny sensor nodes are collecting and monitoring the biological data or physical data or environmental data and transmits to the Base Station (BS) through gateway routers. These data can be accessed anywhere and anytime. Usually, sensor nodes have restrained battery power which creates the rigorous lifetime duration issues in WSN. Sensor nodes can transmit the data with each other using various routing protocols. Data transmission devours more amounts of energy and power. So, energy preservation is an important factor in WSN. There are plenty of researches going on in designing less energy consuming protocols for data transmission which helps to increase the lifetime of WSN. In this manuscript, we have proposed Extended Power-Efficient Gathering in Sensor Information Systems (E-PEGASIS) protocol for enhanced energy-efficient data transmission based on PEGASIS protocol. In this proposed method, the average distance between the sensor nodes is considered as the criterion for chaining and fixing the outermost node’s radio range value to the base station. Later it chains the related nodes available in the radio range. Consequently, the chained node checks their distance with the next nearest end node to go on with the chaining procedure which will enhance the performance of data transmission amid the base station and sensor node. The simulation of the proposed work shows that lifetime of the network is increased when compared to the LEACH and PEGASIS protocol.

Smart environment is about incorporating smart thinking in the environment and implementing the technical intervention that improvise the city's environment. Artificial intelligence (AI) provides solutions in huge technological issues in various aspects of day-to-day life such as autonomous transportation, governance, healthcare, agriculture, maintenance, logistics, and education that are automated, managed, controlled, and accessed remotely with the aid of smart devices. Cognitive computing is denoted as a next-generation AI-dependent method that gives human-computer interactions with personalized services that replicate manual behavior. Simultaneously, massive data is generated from the applications of the smart city like smart transportation, retail industry, healthcare, and governance. It is necessary to obtain a reliable, sustainable, continuous, and secure framework in the cloud centralized infrastructure. In this research article, the authors proposed the architecture of cognitive smart city network (CSC-Net) that defines how data are collected from applications of smart city and scrutinized by cognitive computing. This research article predicts the mobile edge computing solution (MEC) that permits node collaboration between internet of things (IoT) devices for providing secure and reliable communication among smart devices and fog layer, conversely fog layer and cloud layer. This proposed work helps to reduce the excessive traffic flow in smart environment with the support of node to node communication protocols. Collaborative-dependent intrusion detection system (C-IDS) is proposed to solve the data security issues in fog and cloud layers.

In present VLSI technology power consumption in 3-D Clock tree synthesis is an important factor to be considered among other factors such as area and speed. In 3-D CTS the process of insertion of buffer, makes it below standard area and power consumption with the consideration of wirelength and clock-skew. In this paper, a new methodology of designing 3-D gated CTS is proposed which helps the designer to construct a required clock tree with low dynamic power consumption and minimize the clock skew. While constructing 3-D gated clock tree synthesis flip flop switching International Journal of Pure and Applied Mathematics Volume 119 No. 12 2018, 1451-1457 ISSN: 1314-3395 (on-line version) url: http://www.ijpam.eu Special Issue ijpam.eu

The evolution cloud computing have distributed services by combining the exiting clouds with resource and service, convert into hybrid cloud (H-Cloud). In the recent days development in communication and any of its related technology most use multimedia data. Hence the flooding in user request for access and processing of multimedia data to cloud is high and it results in delayed processing of the request, which in turn leads to increase in waiting time of the response and availability of the service to the H-Cloud users. The proposed SK-SVM-FLA (Single Kernel-Support Vector Machine - Fast Lyapunov) algorithm uses SVM classification for media based user request and FLA schedules the user request as jobs and executes the jobs efficiently and based on the optimal waiting time scheduling is adaptively executed on the availability of the computing resource. Comparative analysis is done with existing PSO algorithm and effective scheduling and increase in makespan and throughput is achieved.

Growing use of internet turn people to use hand held devices such as smart phone to download/view the multimedia contents at any time with more flexibility. Due to limited resources of handheld devices, multimedia content handling becomes more complex task which can be resolved by using the popular field called cloud computing. The resource handling can be optimized by maintaining both private (permanent storage) and public (temporary and emergency storage) clouds, so that user can respond with required multimedia contents without interruption. However the multimedia provisioning such as video, audio and games downloading through cloud affects the profit of both cloud users and cloud providers if it is not handled with more concern. This problem is resolved in the proposed research methodology by constructing the novel frameworks that can leads to profit aware multimedia contents handling. In the proposed research work, profit of multimedia cloud service providers are increased by constructing the user profile that includes information about user services using kernel support vector machine, so that resource utilization can be optimized in case of current resource failure. And then scheduling and rescheduling of multimedia contents storage level is done by using the Fast Quadratic Lyapunov Algorithms in different time granularities. Finally, popularity based cache management is introduced to reduce the unwanted cost wastage while downloading same multimedia content multiple time. The overall results of the work is simulated in the multimedia cloud environment and it is proved that the proposed research methodology tends to provide profit aware multimedia provisioning to the cloud users with increased performance.

The disruption tolerant network (DTN) is appropriate for application where no communication infrastructure is present. Due to limitation of storage capacity DTN is vulnerable to flood attacks. In this paper proposed an intrusion detection scheme that use streaming node to monitor the network environment. Monitor that created three tables, RATE_LIMIT contains the list of the rate limit certificate of each node. DPT_TAB contains the delivery probability value according to the value of this table we can identified the attack happened or not. Streaming node is comparing the estimated value and actual delivery probability value calculated from node. If difference greater than a threshold value, the streaming node will listed as suspicious node. Instead of cross-check it used self-analysis approach for detection of inconsistency. It provided the delivery probability analysis for detection of and evaluation of the effectiveness and efficiency of this scheme. This scheme it effectively reduced propagation delay and increased the packet delivery ratio.

The media data has grown over years in all streams of technology. Video and images plays a vital role in communication around the glob. The usage of mobile device along with media has boomed year age of technology. The usage of traditional networking and service providers lacks to provide the quality centered and reliable service to the mobile users concerning with the media data. The vital problems that leads to the poor services from the service providers would be low bandwidth which affects the efficient transfer of video to the user, the disruption of video streaming also occurs due to the low bandwidth. The buffer time of the video over mobile devices which moves from place to place affects the smooth streaming and also sharing of video from one user to another user over social media. Our survey shows the functioning of various methods and architecture which used cloud to provide effective solution for providing better service to the users. AMES is cloud architecture built specially to provide video service to the user. The study has came up with a optimal solution, proposing with video cloud, which collects the video from video service providers and providing the reliable service to the user.

A n experiment based on distance vector multicast routing protocol (DVMRP) is described with the procedure of multicasting a network using distance vector. This paper describes an efficient data communication within a network using multicasting technique. Multicast distance vector routing protocol combines some of the features of RIP (Routing Information Protocol) with the Truncated Reverse Path Broadcasting (TRPB) algorithm. The purpose of DVMRP is to keep track of the return paths to the source of multicast datagram. A router that routes both multicast and unicast datagram’s must run two separate routing processes. DVMRP deals with sending multicast datagram’s to the multicast group. Multicasting is done through DV (Distance Vector) routing table. Usually Multicast distance vector routing does not share its routing table with its neighbors. It can be built from the scratch or delay information that can be shared from the neighbors. Multicast datagram packets are forwarded to the multicast group through a minimum cost path. After completing its task, the old routing table can be neglected and destroyed whereas the delay information is shared periodically. This is a source based routing protocol based on RIP. For efficient transmission of the data through Multicast distance vector routing, four strategies can be used namely Flooding, Reverse Path Forwarding, Reverse Path Broadcasting, Reverse Path Multicasting. Here routers are enabled with routing tables to monitor the data transmissions in the network. DVMRP results in reliable and fast transferring of data between the source and destination in a network.

Cloud computing serves as the service provider globally connected, which provides service to the cloud users. The processing of the users request plays an important role in the cloud service. In order to achieve low response time of the requested user service, the services are processed as such resulting in low throughput where all the users can't receive their guaranteed service from the cloud provider. The random processing of service as a result, a security issue such as intrusion also occurs. The novel cloud scheduling scheme uses SLA(Service Level Agreement) along with trust monitor to provide a faster scheduling of the over flooding user request with secure processing of the request. The security of the cloud is maintain based on the SLA criteria and trust monitor acts as the third party and monitors whole processing of the services, any illegal action is consider as intrusion and reported to the scheduler and message is sent to the user and provider and further penalties is taken. The schedule gives improved fast schedule time and low rescheduling ratio than grid scheduling. The proposed schedule scheme provides advantages and better performance for both the cloud user and service provider.

Grid computing servers as the globally connected systems which performs high computing in many practical applications. Scheduling plays a key role in providing performance for grid workflow applications. Various scheduling strategies are proposed, including static scheduling strategies which map jobs to resources before execution time, or dynamic alternatives which schedule individual job only when it is ready to execute. Both of the schedules require significantly high scheduling cost and they may not produce good quality of schedule with low cost. This paper proposes a novel semi dynamic algorithm with load balancing concept, which allows the schedule to adapt and schedule the jobs as per the changes in the dynamic grid environment. The proposed novel algorithm schedules the job statically and continues the schedule with dynamic scheduling due to the dynamic nature of the grid. The makespan and the resource usage are the main to objective of this scheduling algorithm. When the resource and International Journal of Computer Engineering and Technology (IJCET), ISSN 0976 – 6367(Print) ISSN 0976 – 6375(Online) Volume 2 Number 1, Dec Jan (2011), pp. 09-21 © IAEME, http://www.iaeme.com/ijcet.html IJCET © I A E M E International Journal of Computer Engineering and Technology (IJCET), ISSN 0976 – 6367(Print), ISSN 0976 – 6375(Online) Volume 2, Number 1, Dec Jan (2011), © IAEME 10 performance fluctuation occur in the grid environment it affects the processing of the jobs which results in the delay in the job completion time. In this algorithm load balancing is incorporated to handle such situation where the jobs are handled after it is dispatched to their respective hosts. When there is resource fluctuation occurs due to the dynamic nature of the grid or over loading of jobs to a processor which delays the makespan, load balancing is done to handle the job execute and to get desired makespan.