Volume-1 , Issue-3 , Aug 2013, ISSN 2321-3256 (Electronic Version) Go Back

• Open Access   Article

  IPSEC: Analysis of Internet Protocol Security

  Kasamsetty Kedarnath

  Technical Paper | Journal (IJSRNSC)

  Vol.1 , Issue.3 , pp.1-8, Jul-2013

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  Abstract
  IPSEC (Internet Protocol Security) is a network layer security protocol that is designed to support secure TCP/IP environment over the Internet considering flexibility, scalability, and interoperability. IPSEC primarily supports security among hosts rather than users unlike the other security protocols. Recently, IPSEC is emphasized as one of the important security infrastructures in the NGI (Next Generation Internet). It also has suitable features to implement VPN (Virtual Private Network) efficiently and its application areas are expected to grow rapidly. In this paper, the basic concepts and related standard documents of IPSEC will be introduced.

  Key-Words / Index Term
  IPSEC, ISAKMP, Protocols, DES

  References
  [1] Using IPSEC to Construct Virtual Private Networks, IBM, 1998.
  [2] H. Orman, The Oakley Key Determination Protocol, RFC 2412, Nov. 1998.
  [3] S. Kent and R Atkinson, Security Architecture for the Internet Protocol, RFC 2401, Nov. 1998.
  [4] S. Kent and R Atkinson, IP Authentication Header, RFC 2402, Nov. 1998.
  [5] D. Maughan, M. Schertler, M. Schneider, and J. Turner, Internet Security Association and Key Management Protocol (ISAKMP), RFC 2408, Nov. 1998.
  [6] The Internet IP Security Domain of Interpretation for ISAKMP.
  [7] C. Madson and R Glenn, The Use of HMAC-MD5-96 within ESP and AH, RFC 2403, Nov. 1998.
  [8] C. Madson and R Glenn, The Use of HMAC-SHA-1-96 within ESP and AH, RFC 2404, Nov. 1998.
  [9] S. Kent and R Atkinson, IP Encapsulating Security Payload (ESP), RFC 2406, Nov. 1998.
  [10] C. Madson and N. Doraswamy, The ESP DES-CBC Cipher Algorithm With Explicit IV, RFC 2405, Nov. 1998.
  [11] R Periera and R Adams, The ESP CBC-Mode Cipher Algorithms, RFC 2451, Nov. 1998.
  [12] Jong-Hyeon Lee, A Survey on IPSEC Key Management Protocols, Computer Laboratory, University of Cambridge, United Kingdom, Dec. 1996.
  [13] R Thayer, N. Doraswamy, and R Glenn, IP Security Document Roadmap, RFC 2411, Nov. 1998.
  [14] Steven M. Bellovin, “Problem Areas for the IP Security Protocols,” The 6th VSENIX UNIX Security Symp., San Jose, California, USA, July 1996.
  [15] http://www.ietf.org/html.charters/ipsec-charter.html.

  Citation
  Kasamsetty Kedarnath, "IPSEC: Analysis of Internet Protocol Security," International Journal of Scientific Research in Network Security and Communication, Vol.1, Issue.3, pp.1-8, 2013

• Open Access   Article

  Study of Various Power Control Mechanisms in WCDMA

  Akhilesh Panchal and R.B. Gaikwad

  Review Paper | Journal (IJSRNSC)

  Vol.1 , Issue.3 , pp.9-11, Jul-2013

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  In this paper an iterative technique for sequential mobile power in WCDMA networks are presented. The obtain algorithm are DPC (Distributed power control), adaptive step size power control, modified variable step size power control, novel adaptive step power control algorithm in WCDMA. All the algorithms based on the induction of the transmitted power. Power control Mechanism is an important issue for wide band code division multiple access (WCDMA) systems which help in achieving higher capacity and provides high link performance. Power control allow to minimize the transmitter power while keeping the system performance above the require value. Modified adaptive step size power control mechanism show the increase in convergence speed and stability by properly choosing the parameters. The novel adaptive step size power control based on the function of the difference between the target and estimated SIR of the MS to obtain more stability of the system. All the power control mechanisms evaluated the outage probability in percentage. For these power algorithms. Power control steps depend on the instantaneous mobile command and command history.

  Key-Words / Index Term
  Power Control, DPC, ASPC, Novel ASPC, SIR, WCDMA, MVSPC

  References
  [ 1] H. Holma, A. Toksala, WCDMA for UMTS , revised edition. Wiley, 2001.
  [ 2] M.P.J. Baker , T.J. Moulsley, “power control in UMTS release ’99,” in proc. of First International Conference on 3G Mobile Communication Technologies ,Mar 2000.
  [ 3] Virtej I., Rintamaki M., and Koivo H., “Enhanced fast power control for WCDMA systems”, inproc. Of the 11th IEEE International Symposium on personal , Indoor and Mobile Radio Communication, 2000,pp.1435-1439.
  [ 4] St.Gunaratne, S. Nourizadeh, T. Jeans, R. Tafazolli, “Performance of SIR-Based power control for UMTS,”in proc. of Second International Conference on 3G Mobile Conference on 3G Mobile Communication Technologies, Mar. 2001.
  [ 5] Nasreddine J., Nuaymi L., Lagrange X., “Adapative power control algorithm for 3G cellular CDMA networks”, in porc.of the 59rd IEEE Semi annular vehicular technology conference (VTC 04), 2004.
  [ 6] Gudmundson M., “Corelation model for shadow fading in mobile radio systems”, Electronics letters, vol.27, pp.2145-2146, 1991.
  [ 7] Holma H., A study of UMTS terretriol radio access performance, Helsinki University of technology communications laboratory technical report T49, 2003.
  [ 8] L.lu,S. Zhu and S. Dong,”Fast Convergence Distributed power control algorithm for WCDMA Systems ”, IEE proc- commun. Vol.150,NO.2. April 2003.
  

  Citation
  Akhilesh Panchal and R.B. Gaikwad, "Study of Various Power Control Mechanisms in WCDMA," International Journal of Scientific Research in Network Security and Communication, Vol.1, Issue.3, pp.9-11, 2013

• Open Access   Article

  Study of Various Techniques for Data Gathering in WSN

  Aditya Singh Mandloi and Vineeta Choudhary

  Technical Paper | Journal (IJSRNSC)

  Vol.1 , Issue.3 , pp.12-15, Jul-2013

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  Data gathering is a basic function in wireless sensor network (WSNs). In this paper we have studied the various techniques for data gathering in WSN namely energy efficient routing algorithm, balance neighborhood aware clustering technique, and mobility aware reputation node taking (MARNR) in wireless sensor network. Energy efficient routing algorithm need to be carefully designed before wireless sensor networks that are widely deployed in the energy efficient clustering routing algorithm (ECRA) which divides the nodes in WSNs in to clusters, then after a chain is formed in each by an improved nearest neighborhood aware clustering technique. A mean neighbor clustering algorithm that event distributes the nodes around the cluster and form well balanced cluster in the system. Mean neighbor clustering protocol uses the local information sensor. In the MARNR technique identifies the sensor nodes mobility rate each node serving the region as cluster is identified from the each. This technique ensures the node should have minimal mobility threshold and high cluster head rank probability.

  Key-Words / Index Term
  Cluster head, Node Reputation, hot spot density rate, balanced clustering, cluster range, WSN

  References
  [ 1] A Chamam, s. pierre, “ A distributed energy-efficient clustering protocol for wireless sensor networks,” computers and Electrical Engineering, vol. 36, NO. 2,pp.303-312,2010.
  [ 2] W.R. Heinzelman, A. Chandrakasan, and H. balakrishnan, “ Energy Efficient Communication Protocol for Wireless Microsensor Networks,” in proc. of the Hawaii International Confrences on system Sciences, pp. 3005-3014,2000.
  [ 3] O. Younis and S. Fahmy,” HEED: A Hybrid Energy Efficient Distributed Clustering Approach for Adhoc Sensor network s,” IEEE Transsactions on Mobile Computing, dec. 2004.
  [ 4] R. Krishnan and D. Starobinski,” Efficient Clustering Algorithm for Self organizing Wireless Sensor networks,”Adhoc Networks, vol. 4, pp.3639,2006.
  [ 5] H.. Yang and B. sikdar,” Optimal Cluster Head Selection in the LEACH Architecture ,” in proc. 2007 int. conf. on performance, computing and communication(IPCCC 2007).

  Citation
  Aditya Singh Mandloi and Vineeta Choudhary, "Study of Various Techniques for Data Gathering in WSN," International Journal of Scientific Research in Network Security and Communication, Vol.1, Issue.3, pp.12-15, 2013

• Open Access   Article

  New Approach for Sampling Mobile Phone Accelerometer Sensor Data for Daily Mood Assessment

  Rajesh Verma

  Research Paper | Journal (IJSRNSC)

  Vol.1 , Issue.3 , pp.16-20, Jul-2013

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  Abstract
  With the increasing stress and unhealthy in people’s daily life, mental health problems are becoming a global concern. In particular, mood related mental health problems, such as mood disorders, depressions, and elation, are seriously impacting people’s quality of life. However, due to the complexity and unstableness of personal mood, assessing and analyzing daily mood is both difficult and inconvenient, which is a major challenge in mental health care. In this paper, we propose a novel framework for assessing and analyzing daily mood of persons working in corporate organizations. It uses mobile phone data—particularly mobile phone accelerator sensor data to extract human behavior pattern and assess daily mood. We also present a sampling approach for rapidly and efficiently computing the best sampling rate which minimizes the Sum of Square Error in order to handle the large data.

  Key-Words / Index Term
  Mobile Phone Sensor, Mood Assessment, Sampling, Clustering, Daily Mood Assessment (DMA)

  References
  [1] Yuanchao Ma, Bin Xu, Yin Bai, Guodong Sun(2012) Daily mood assessment based on mobile sensing,2012 ninth international conference on wearable and implantable body sensor networks.
  [2] Nicholas D Lane, Emiliano Miluzzo, Hong Lu, Daniel Peebles (2010), A survey of mobile phone sensing. IEEE Communications Magazine 2010
  [3] Aggarwal CC (2010) A segment-based framework for modeling and mining data streams. In: Knowledge and information systems, pp 1–29. Springer
  [4] Aggarwal CC, Han J, Wang J, Yu PS (2003) A framework for clustering evolving data streams. In: Proceedings of the 29th international conference on very large data bases (VLDB’2003), pp 81–92
  [5] Bash BA, Byers JW, Considine J (2004) approximately uniform random sampling in sensor networks. In: Proceeedings of the 1st international workshop on Data management for sensor networks (DMSN’04), pp 32–39 (Toronto)
  [6] Csernel B, Clerot F, and Hebrail G (2006) Streamsamp: datastream clustering over tilted windows through sampling. In: ECML PKDD 2006 Workshop on knowledge discovery from data streams, Berlin.
  

  Citation
  Rajesh Verma, "New Approach for Sampling Mobile Phone Accelerometer Sensor Data for Daily Mood Assessment," International Journal of Scientific Research in Network Security and Communication, Vol.1, Issue.3, pp.16-20, 2013