{"title":"Prevention of IP spoofing attack in cyber using artificial Bee colony and artificial neural network","authors":"Ravinder Singh, Kashish Thakur, Gurpreet Singh, Shaina Gupta","doi":"10.1145/3339311.3339327","DOIUrl":"https://doi.org/10.1145/3339311.3339327","url":null,"abstract":"IP spoofing is a method in which the attacker develops and IP with bogus or fake source IP address the header. IP can be spoofed by means of fake information for hiding the sender's individuality or for helping with developing attacks like DDoS. In this paper, IP spoofing attack in cyber is prevented by using an optimization algorithm namely Artificial Bee Colony (ABC) with the blend of classifiers such as Artificial neural network (ANN). The properties of nodes are optimized by using the fitness function of the ABC algorithm and then the neural network model will further upskill, using the optimized properties and later store it in the database. For depicting the performance of the proposed architecture, different parameters named as Packet delivery ratio, Efficiency in terms of Throughput and Energy consumption are measured. The simulation is performed in MATLAB simulation tool.","PeriodicalId":290776,"journal":{"name":"Proceedings of the Third International Conference on Advanced Informatics for Computing Research - ICAICR '19","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-06-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130199997","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Design of a branch line coupler with arbitrary impedance for unequal power division","authors":"N. Kumari, S. Talluri, M. Sood","doi":"10.1145/3339311.3339355","DOIUrl":"https://doi.org/10.1145/3339311.3339355","url":null,"abstract":"In this paper design and analysis of a balanced branch line coupler is presented with arbitrary impedance. Branch line coupler is configured by four quarter wavelength transmission line. The design achieved desired functions of branch-line coupler for differential-mode and common-mode signal with the merits of a simple configuration and a design method, low insertion loss, and low cost. Design parameters present in the equations provides two degree of freedom. In this paper, power at the output ports is considered as a known parameter. The power division is obtained at the output using impedance values. Isolation achieved for the unequal power division is less than 20dB. A good agreement is obtained between numerical and full wave electromagnetic simulation results.","PeriodicalId":290776,"journal":{"name":"Proceedings of the Third International Conference on Advanced Informatics for Computing Research - ICAICR '19","volume":"43 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-06-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126725370","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Implementing hybrid data storage with hybrid search","authors":"Udipto Goswami, Ravinder Singh, Varun Singla","doi":"10.1145/3339311.3339320","DOIUrl":"https://doi.org/10.1145/3339311.3339320","url":null,"abstract":"Databases serves an essential role while implementing any application. Take the data out, and serves no purpose. Until and unless a real data is involved in an application, it is only a program. Over the time data has shown how crucial is its existence for an industry and hence management of data in an efficient way is of absolute importance. This paper intent to propose such an efficient way to storing data for a web application, which could actually solves some problems that generally a database faces. Further, a hybrid search approach is also proposed which in turn intent to enhance the performance of the searches in the model. Primarily the approach merges two database, one of RDBMS and another of NoSQL, using its advantages for segregating the read and write operations along with enabling dynamic scalability.","PeriodicalId":290776,"journal":{"name":"Proceedings of the Third International Conference on Advanced Informatics for Computing Research - ICAICR '19","volume":"104 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-06-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115180650","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Swarm intelligence and data mining: a review of literature and applications in healthcare","authors":"N. Nayar, S. Ahuja, Shaily Jain","doi":"10.1145/3339311.3339323","DOIUrl":"https://doi.org/10.1145/3339311.3339323","url":null,"abstract":"Healthcare industry is evolving at a rapid pace across the world. Substantial amount of heterogeneous data is generated by healthcare industry. It is crucial for healthcare industries to attain, accumulate and mine the data in an effective manner. Thus, data mining can provide enormous opportunities for diagnosis, prediction and essential treatment. Data mining plays imperative role in the medical domain that facilitates the systems to analyze the massive data, so that finest practices can be applied for further research and evaluating the patients' reports. This paper explores various applications that employ Swarm Intelligence with data mining in healthcare in terms of methods and results obtained. Swarm Intelligence algorithms have been used for prognosis of major diseases like cancer, heart diseases, tumors, and cardiology. The Swarm Intelligence approaches have been applied in the areas of disease diagnosis and treatment.","PeriodicalId":290776,"journal":{"name":"Proceedings of the Third International Conference on Advanced Informatics for Computing Research - ICAICR '19","volume":"33 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-06-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122198448","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}