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Trust Based Authentication and Key Establishment for Secure Routing in WMN
( G. Akilarasu ),( S. Mercy Shalinie ) 한국인터넷정보학회 2014 KSII Transactions on Internet and Information Syst Vol.8 No.12
In Wireless Mesh Networks (WMN), an authentication technique can be compromised due to the distributed network architecture, the broadcast nature of the wireless medium and dynamic network topology. Several vulnerabilities exist in different protocols for WMNs. Hence, in this paper, we propose trust based authentication and key establishment for secure routing in WMN. Initially, a trust model is designed based on Ant Colony Optimization (ACO) to exchange the trust information among the nodes. The routing table is utilized to select the destination nodes, for which the link information is updated and the route verification is performed. Based on the trust model, mutual authentication is applied. When a node moves from one operator to another for accessing the router, inter-authentication will be performed. When a node moves within the operator for accessing the router, then intra-authentication will be performed. During authentication, keys are established using identity based cryptography technique. By simulation results, we show that the proposed technique enhances the packet delivery ratio and resilience with reduced drop and overhead.
Design of Cognitive Fog Computing for Intrusion Detection in Internet of Things
Prabavathy, S.,Sundarakantham, K.,Shalinie, S.Mercy The Korean Institute of Communications and Informa 2018 Journal of communications and networks Vol.20 No.3
Internet of things (IoT) is penetrating into every aspect of our lives including our body, our home and our living environment along with numerous security challenges. With rapidly growing number of connected devices in IoT, the scope for cyber-attack also increases exponentially. Therefore an effective intrusion detection system (IDS) is needed to efficiently detect the attack at faster rate in highly scalable and dynamic IoT environment. In this paper, a novel intrusion detection technique is proposed based on fog computing using Online Sequential Extreme Learning Machine (OS-ELM) which can intelligently interpret the attacks from the IoT traffic. In the proposed system, the existing centralized cloud intelligence in detecting the attack is distributed to local fog nodes to detect the attack at faster rate for IoT application. The distributed architecture of fog computing enables distributed intrusion detection mechanism with scalability, flexibility and interoperability. The analysis of the proposed system proves to be efficient in terms of response time and detection accuracy.
Design of Cognitive Fog Computing for Intrusion Detection in Internet of Things
S.Prabavathy,K.Sundarakantham,S.Mercy Shalinie 한국통신학회 2018 Journal of communications and networks Vol.20 No.3
Internet of things (IoT) is penetrating into every aspectof our lives including our body, our home and our living environmentalong with numerous security challenges.With rapidly growingnumber of connected devices in IoT, the scope for cyber-attackalso increases exponentially. Therefore an effective intrusion detectionsystem (IDS) is needed to efficiently detect the attack at fasterrate in highly scalable and dynamic IoT environment. In this paper,a novel intrusion detection technique is proposed based on fog computingusing Online Sequential Extreme Learning Machine (OSELM)which can intelligently interpret the attacks from the IoTtraffic. In the proposed system, the existing centralized cloud intelligencein detecting the attack is distributed to local fog nodesto detect the attack at faster rate for IoT application. The distributedarchitecture of fog computing enables distributed intrusiondetection mechanism with scalability, flexibility and interoperability. The analysis of the proposed system proves to be efficientin terms of response time and detection accuracy.
Shalini M, Thirumurthy Madhavan 조선대학교 기초과학연구원 2015 조선자연과학논문집 Vol.8 No.3
CXCR3 is a C-X-C chemokine receptor type 3 also known as GPR9 and CD183. CXCR3 is a G-Protein coupled chemokine receptor which interacts with three endogenous interferon inducible chemokine’s (CXCL9, CXCL10 and CXCL11) and is proved to play a vital role in the Th1 inflammatory responses. CXCR3 has been implicated to be associated with various disease conditions like inflammatory diseases, autoimmune diseases, type I diabetes and acute cardiac allograft rejection. Therefore CXCR3 receptor is found to be an attractive therapeutic target for the treatment of inflammatory diseases. Inorder to decipher the biological function of a CXCR3, 3D structure is of much important but the crystal structure for CXCR3 has not yet been resolved. Hence, in the current study Homology modeling of CXCR3 was performed against various templates and validated using different parameters to suggest the best model for CXCR3. The reported best model can be used for further studies such as docking to identify the important binding site residues.
Counselors’ Perspectives on Complementary and Alternative Therapies for Children
Shalini Mathew,Michael Brooks 한국상담학회 2022 Journal of Asia Pacific counseling Vol.12 No.1
There is a growing popularity for complementary and alternative therapies available for families of children with intellectual disabilities. The purpose of this phenomenological study was to examine the perspectives of counselors towards the utilization of complementary and alternative therapies (CAT) for children with intellectual disabilities. The methods used were focus groups, individual interviews, and critical incident responses. Results of this study revealed six themes relating to the perspectives of counselors: confidence in CAT; increased parental involvement in CAT; CAT’s ability to be calming and relaxing; building productive relationships; professional development; and creating a safe space for children with intellectual disabilities. Recommendations for further research and implications for parents of children with intellectual disabilities, along with implications to the field of counselor education and supervision, are discussed.
Shalini Jain,Hariom Yadav,P.R. Sinha 한국식품영양과학회 2009 Journal of medicinal food Vol.12 No.3
In the present study, effect of dahi containing probiotic Lactobacillus casei (probiotic dahi) was evaluated to modulate immune response against Salmonella enteritidis infection in mice. Animals were fed with milk products along with standard diet for 2 and 7 days prior to the S. enteritidis challenge and continued on the respective dairy food-supplemented diets during the postchallenge period. Translocation of S. enteritidis in spleen and liver, β-galactosidase and β-glucuronidase enzymatic activities and secretory IgA (sIgA) in intestinal fluid, lymphocyte proliferation, and cytokine (interleukin [IL]-2, IL-4, IL-6, and interferon-γ [IFN-γ]) production in cultured splenocytes were assessed on day 2, 5, and 8 of the postchallenge period. Colonization of S. enteritidis in liver and spleen was remarkably low in probiotic dahi-fed mice than mice fed milk and control dahi. The β-galactosidase and β-glucuronidase activities in intestinal fluid collected from mice prefed for 7 days with probiotic dahi were significantly lower at day 5 and 8 postchallenge than in mice fed milk and control dahi. Levels of sIgA and lymphocyte proliferation rate were also significantly increased in probiotic dahi-fed mice compared with the other groups. Production of IL-2, IL-6, and IFN-γ increased, whereas IL-4 decreased in splenic lymphocytes collected from probiotic dahi-fed mice. Data showed that dahi prefed for 7 days before S. enteritidis challenge was more effective than when mice were prefed for 2 days with dahi. Moreover, probiotic dahi was more efficacious in protecting against S. enteritidis infection by enhancing innate and adaptive immunity than fermented milk and normal dahi. Results of the present study suggest that prefeeding of probiotic dahi may strengthen the consumer's immune system and may protect infectious agents like S. enteritidis.