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Japanese Server
1. Overall Approach and Design Principles
- Objective: Determine whether a set of IPs is " Japanese native IP" (distributed by a Japanese domestic ISP, not exported through overseas proxies or CDN).- Principle: Multi-dimensional verification; a single GeoIP cannot be fully trusted.
- Dimensions: GeoIP location, ASN attribution, reverse DNS, number and latency of Traceroute, whether the ASN is a well-known cloud/CDN ASN.
- Data sources: MaxMind GeoLite2-City/ASN, local whois/Team Cymru, ICMP/TCP latency measurement.
- Results: Based on weight aggregation (e.g., GeoIP 40%, ASN 30%, RDNS 10%, latency 20%).
2. Essential environment and dependency
- Recommended environments: Linux VPS (Debian/Ubuntu), Python3, pip.- Main libraries: geoip2, requests, ipwhois, scapy (optional); System tools: traceroute, ping, whois.
- Databases: Download and regularly update MaxMind GeoLite2-City.mmdb and GeoLite2-ASN.mmdb.
- Permissions: Requires ICMP or TCP detection permissions; containers or environments without ICMP recommend using TCP SYN detection.
- Security: Scripts should perform speed-limited probing to prevent the firewall from recognizing them as attacks, and logs should be stored locally on the server.
3. Core detection script (example Python).
- Functions: Read IP lists, query City/ASN, whois reverse lookup, traceroute and ping delay.- Example of determination rule: GeoCountry == "JP" score 40; ASN belongs to a major Japanese ISP with a score of 30; RDNS contains .jp or isp keywords and gets 10; Average latency < 50ms to 20
... - Extensible: Joining cloud/CDN ASN blacklists (Cloudflare, Akamai, AWS, etc.) reduces scores.
- Output: CSV or JSON, Fields: ip, country, asn, asn_name, rdns, avg_rtt, score, check.
- Note: The sample script needs to be replaced with the real MaxMind database path and handle exceptions.
#!/usr/bin/env python3
import geoip2.database, subprocess, socket
GEO_CITY='/data/GeoLite2-City.mmdb'
GEO_ASN='/data/GeoLite2-ASN.mmdb'
jp_isps = ['NTT','KDDI','SoftBank','IIJ','Rakuten']
reader_city=geoip2.database.Reader(GEO_CITY)
reader_asn=geoip2.database.Reader(GEO_ASN)
def check_ip(ip):
rec_c=reader_city.city(ip)
rec_a=reader_asn.asn(ip)
country=rec_c.country.iso_code
asn=rec_a.autonomous_system_number
asn_org=rec_a.autonomous_system_organization or ''
try:
rdns=socket.gethostbyaddr(ip)[0]
except: rdns=''
# ping
p=subprocess.run(['ping','-c','3','-W','1',ip], stdout=subprocess. PIPE, text=True)
if 'rtt' in p.stdout:
rtt=float(p.stdout.split('rtt min/avg/max/mdev = ')[1].split('/')[1])
else:
rtt=9999
score=0
if country=='JP': score+=40
if any(x in asn_org for x in jp_isps): score+=30
if '.jp' in rdns or 'ad.jp' in rdns: score+=10
if rtt<50: score+=20
return {'ip':ip,'country':country,'asn':asn,'asn_org':asn_org,'rdns':rdns,'rtt':rtt,'score':score}
4. Example data and determination tables
- Below is a comparison of real-world case types: local ISP, cloud platform, and CDN export.- Case source: GeoIP/ASN/Traceroute detection and summary were performed on three IP groups.
- Threshold: score > = 70 determines the IP is native to Japan; 40-69 Suspicious; <40 Not native to Japan
... - Note: The cloud platform may return JP in Japan, but ASN will display AWS/Google, etc.
- Results Table:
| IP | ASN | ASN name | Avg RTT(ms) | determination is < | th style="text-align:center;"> conclusion|
|---|---|---|---|---|---|
| 203.181.0.1 | 4713 | NTT Communications | 18 | 100 | native to Japan |
| 13.230.0.1 | 16509 | Amazon.com, Inc. | 22 | 60 | suspicious (says). |
| 104.21.13.2 | 13335 | Cloudflare, Inc. | 8 | 30 | Non-native (CDN |
5. Application in server/host/domain/CDN/DDoS defense
- Anti-cheating: On the application side, "non-native IP" requests are marked as high risk and trigger two-factor authentication.- Anti-DDoS: Put a large number of non-native/high-risk IPs into rate limits or IPset blacklists, which are dropped by the firewall.
- CDN strategy: For traffic identified as native to Japan, you can bypass the global CDN and return to the Japanese VPS to reduce latency.
- Log alerts: Combine fail2ban and honeypot to record abnormal ASN and RDNS situations.
- Deployment example: Japanese VPS configuration (Ubuntu 20.04, 4vCPU, 8GB RAM, BW 1Gbps, IP 203.181.0.10, ASN 4713), updated daily with local GeoIP database.
6. Summary and Precautions
- Multidimensional judgment is more accurate than a single GeoIP; it is recommended to combine ASN with routing latency.- The database should be updated regularly (recommended daily or weekly), especially on the ASN blacklist.
- Respect privacy and rate limits legally/compliantly, and avoid excessive detection that could result in blocking.
- Practical Verification: By sampling real traffic and manually verifying traceroutes, weights and thresholds can be adjusted.
- For highly reliable judgments, private survey points can be deployed in multiple cities across Japan for passive or active detection to build more accurate geographic and routing models.

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