Security Enhancement and Power Reduction of Networks based on Machine learning Approach with VLSI Technology
Security Enhancement and Power Reduction of Networks based on Machine learning Approach with VLSI Technology
批准号:
18500048
负责人:
ABE Koki
金额:
$2.38万
依托单位国家:
日本
项目类别:
Grant-in-Aid for Scientific Research (C)
财政年份:
2006
资助国家:
日本
项目状态:
已结题
起止时间:
2006 至 2007
中文摘要
我从各个方面进行了研究,表明机器学习方法与VLSI技术相结合,对于网络及其组件的安全性增强,性能改进和功耗降低是有效的。研究成果总结如下:1。利用VLSI技术增强网络的安全性我提出了一种基于签名的快速、准确入侵检测系统(IDS)的体系结构,在该体系结构中,硬件用于需要高速的上游步骤,软件用于需要高精度的下游步骤。我通过模拟实验验证了这一效果。提出了一种通过预测分组碰撞概率来降低无线网络功耗的新方法。我提出了一种拥塞控制方案,通过机器学习的方法减少互联网链路的拥塞,从而节省网络资源,提高数据流之间的公平性。3 .基于机器学习方法的处理器性能改进我使用基于机器学习方法的低成本和高精度分支预测方案提高了CPU作为网络组成部分的性能。利用VLSI技术提高组件的安全性,提出了一种针对密码系统差分功率分析攻击的对策。该对策适合在超大规模集成电路上实现。我通过实验验证了它的有效性。提高多媒体网络通信的安全性、性能、质量和功耗为提高多媒体网络通信的性能和功耗,提出了二维离散小波变换(2D-DWT)架构,并将该架构用于图像数据认证和防篡改。我改进了2D-DWT算法,以提高图像数据的平铺和恢复过程的性能和质量。
英文摘要
I conducted research from various aspects to show that machine learning approaches combined with VLSI technology are effective for security enhancement, performance improvement, and power reduction of networks and their components. Research achievements are summarized as follows:1. Security enhancement of networks utilizing VLSI technologyI proposed an architecture for a fast and accurate signature-based intrusion detection system (IDS) where hardware is used at upstream steps requiring high speed, and software is used at downstream steps requiring high accuracy. I verified the effect by a simulation experiment.2. Power reduction and resource savings of networksI proposed a new method for decreasing the power consumption of wireless networks by predicting the probability of packet collisions. I proposed a congestion control scheme which reduces the congestion of Internet links by machine learning approach to save the network resource and improve the fairness among data flows.3. Improving the performance of processor based on machine learning approachesI improved the performance of CPU as an component of networks using a low-cost and highly accurate branch prediction scheme based on a machine learning approach.4. Enhancing the security of components using VLSI technologyI proposed a countermeasure against differential power analysis attacks to cryptosystems. The countermeasure is suitable for implementation on VLSI. I verified its effectiveness by experiments5. Improvements of security, performance, quality, and power consumption of multimedia network communicationsI proposed an architecture of two dimensional discrete wavelet transform (2D-DWT) to improve the performance and power savings, and utilized the architecture for image data authentication and tamper proofing. I improved the 2D-DWT algorithm to improve the performance and quality of tiling and restoring processes for image data.
期刊论文(0)
专著(0)
科研奖励(0)
会议论文
登录
查看更多内容
DOI:
--
发表时间:
2007-09
期刊:
影响因子:
--
作者:
[Akihiko Sasaki;K. Abe]
通讯作者:
Akihiko Sasaki;K. Abe
Packet Inter-Arrival Time Estimation Using Neural Network Models
使用神经网络模型估计数据包到达间隔时间
DOI:
--
发表时间:
2006
期刊:
Internet Conference 2006
影响因子:
--
作者:
[T., Phit, K. Abe]
通讯作者:
K. Abe
乱数発生器及び乱数発生器の作成方法
随机数生成器以及如何创建随机数生成器
DOI:
--
发表时间:
2007
期刊:
影响因子:
--
作者:
[]
通讯作者:
パーセプトロン分岐予測器への冗長入力付加の効果とその最適化
感知器分支预测器添加冗余输入的效果及其优化
DOI:
--
发表时间:
2006
期刊:
SACSIS2006-先進的計算基盤システムシンポジウム (掲載予定)
影响因子:
--
作者:
[澁川誠, 二ノ宮康之, 阿部公輝, 小林聡]
通讯作者:
小林聡
Mathematical Analysis of JPEG 2000 Wavelet Filter Tiling Approaches and Its Experimental Verification
JPEG 2000小波滤波器平铺方法的数学分析及实验验证
DOI:
--
发表时间:
2008
期刊:
Proc. the 5th IASTED International Conference on Signal Processing, Pattern Recognition and Applications (SPPRA 2008), Innsbruck, Austria
影响因子:
--
作者:
[S. M., Hanif K., Abe]
通讯作者:
Abe
共 31 条
A New Approach to the Relation between Swimbladder Shape and Pressure
-
批准号:19780157
-
项目类别:Grant-in-Aid for Young Scientists (B)
-
资助金额:$2.25万
-
财政年份:2007
-
负责人:ABE Koki
-
依托单位:
Evaluation of Asynchronous Hardware in terms of Resistivity against Cryptographic Attacks and Optimum Implementation of IPSecurity
-
批准号:16500026
-
项目类别:Grant-in-Aid for Scientific Research (C)
-
资助金额:$2.37万
-
财政年份:2004
-
负责人:ABE Koki
-
依托单位:
国内基金
海外基金
军民两用即兴网(Ad Hoc Networks)的研究
-
批准号:60372093
-
项目类别:面上项目
-
资助金额:26.0万元
-
批准年份:2003
-
负责人:吴昊
-
依托单位: